Abstract
The availability of safety data, particularly concerning adverse events (AEs) associated with the new shorter regimen for drug‐resistant tuberculosis (TB) containing a bedaquiline–pretomanid‐based regimen, is still limited. This systematic review aims to provide a comprehensive and updated analysis of AEs related to this new regimen by combining safety data from clinical trials, implementation and pharmacovigilance studies. We conducted a search using PubMed, Medline and Web of Science to identify studies that reported AE data for bedaquiline–pretomanid‐based regimens. In total, 14 studies from various countries were included in the analysis, comprising seven clinical trials, six implementation studies and one pharmacovigilance study. AE detection methods differed between clinical trials and implementation studies. Clinical trials utilised structured and standardised detection methods, whereas implementation and pharmacovigilance studies relied on spontaneous reporting with a higher prevalence of AEs reported in clinical trials (62.2–100%) compared to implementation studies (41.8–72.8%). Serious AEs developed in 2.2–30.2% of patients. Among those with serious AEs, 7.7–54.3% required interruption of TB drugs, while 3.5–13% required withdrawal of TB drugs. AE outcomes showed full recovery in 79.2%. However, 23–32% of patients reported AEs even after completing their treatment. Understanding AEs is crucial for healthcare professionals to enhance patient care, as early detection and appropriate management of AEs is essential in TB treatment to increase tolerability, minimise complications and optimise clinical outcomes. Further research is necessary to implement active monitoring for this new TB regimen in real‐world settings.
Keywords: adverse events, bedaquiline, drug‐resistant tuberculosis, pretomanid
1. INTRODUCTION
Tuberculosis (TB) remains a leading cause of global morbidity and mortality. The emergence of drug‐resistant TB (DR‐TB) is a major impediment to effective disease control. 1 Recent 2023 surveillance data indicated that from 3.4 million bacteriologically confirmed pulmonary TB cases tested for rifampicin resistance (RR), 5.5% exhibited resistance. Of these, 4.7% were classified as multidrug‐resistant or rifampicin‐resistant TB (MDR/RR‐TB), and 0.85% as either pre‐extensively drug‐resistant (pre‐XDR) or extensively drug‐resistant TB (XDR‐TB). 1
Historically, DR‐TB has been treated with regimens lasting at least 18 months, involving four or more active drugs, often including injectable agents. However, these regimens have been associated with substantial toxicity, high treatment costs and poor patient adherence, ultimately contributing to increased morbidity and mortality. 2 , 3 As a result, efforts have been directed towards developing shorter, all‐oral treatments with improved tolerability and comparable efficacy. 4 Hence, short‐course all‐oral regimens have been increasingly recommended for the management of MDR/XDR‐TB.
Clinical trials have examined various combinations of bedaquiline and pretomanid as a base regimen, combined with other oral TB drugs, including linezolid, moxifloxacin, pyrazinamide and clofazimine, with efficacy and safety profile data showing promising outcomes for the treatment of MDR/XDR‐TB. 5 , 6 , 7 , 8 , 9 , 10 Subsequently in 2022, the World Health Organization (WHO) recommended an all‐oral 6‐month BPaL(M) treatment regimen consisting of bedaquiline (B), pretomanid (Pa) and linezolid (L), with moxifloxacin (M) added if the susceptibility to these drugs are proven, as the preferred alternative to conventional all‐oral 9 to 18‐month regimens, with certain exceptions such as TB involvement of the central nervous system, osteoarticular system or disseminated (miliary) disease. 11 , 12
The inclusion of the BPaL(M) regimens in the international clinical standard has been supported by robust evidence from three pivotal clinical trials—Nix‐TB, ZeNix and TB‐PRACTECAL. 6 , 8 , 13 These studies consistently demonstrated non‐inferior treatment success rates and lower incidences of adverse drug reactions when compared to 9‐month short‐course regimens and longer conventional regimens lasting 18 months or more in patients with MDR/RR‐TB. 7 , 8 , 14 The Nix‐TB and Zenix‐TB studies reported a favourable outcome ranging from 84% to 93%. 5 , 6 In the modified intention‐to‐treat population of the TB‐PRACTECAL study, the BPaL group achieved a higher favourable outcome (77%) compared to the standard care regimen (9–20 months) (52%). 8 Additionally, the BPaL regimen had fewer early treatment discontinuations and no deaths, resulting in a lower rate of unfavourable outcomes at 23%, compared to 48% with standard care. 8
Despite these promising outcomes, existing safety data for BPaL(M) regimen remain limited for two major reasons. 11 Firstly, most current available safety data have been derived from controlled clinical trials, which may not fully capture the heterogeneity of patients in routine practice. Secondly, the absence of long‐term follow‐up limits understanding of delayed or cumulative toxicities. 11 This limited safety data is of concern in TB management, where delayed identification and management of adverse drug reactions (ADRs) may lead to decreased medication tolerability, treatment discontinuation, extended treatment duration and potentially life‐threatening complications, thereby undermining treatment outcomes. 15
A recent systematic review (2024) analysed safety data of new shorter regimens for DR‐TB exclusively from clinical trials (Nix‐TB, Zenix‐TB and TB‐PRACTECAL) in Asia and Africa. 16 Likewise, a scoping review by Lopes et al. (2025) 15 examined updated TB regimens including treatment efficacy, adverse events, safety and socio‐economic impact, but only two included studies specifically addressed BPaL adverse events and safety. 15 To date, no comprehensive review has evaluated the safety profile of BPaL regimens using both clinical trial data and evidence from real‐world implementation studies.
In light of limited BPaL safety data, an updated and comprehensive review of the safety profile from clinical trials, implementation and pharmacovigilance studies is warranted. The outcomes of this review are expected to enhance the global understanding of the safety profile of bedaquiline and pretomanid‐based regimens, thereby enabling more informed therapeutic decisions and facilitating their integration into national and international TB treatment protocols.
2. MATERIALS AND METHODS
2.1. Eligibility criteria
This study adhered to PRISMA guidelines to ensure the systematic review process transparency, rigour and reproducibility. We focused on studies that reported adverse events (AEs) in patients with DR‐TB including RR‐, MDR‐, pre‐XDR‐ and XDR‐TB who received a regimen that included bedaquiline and pretomanid as base drugs, in combination with linezolid, moxifloxacin or any other drugs. Our selection criteria were not limited only to clinical trials but also included studies demonstrating the implementation of these regimens in clinical settings. Case reports, reviews, editorials and studies that did not report data on adverse events were excluded.
2.2. Source and search strategy
The literature was searched from three databases, including Medline, Web of Science and Embase. The final search for articles was carried out on April 16th, 2025. The keywords for the search were: (Extensively drug‐resistant tuberculosis/ OR multidrug resistant tuberculosis/OR drug‐resistant tuberculosis) AND (adverse drug reaction OR adverse event OR drug‐related side effects and adverse reactions) AND (Bedaquiline OR Pretomanid OR Linezolid OR Moxifloxacin). Details of the complete search strategy can be found in the Supplementary S1.
2.3. Selection process and data extraction
We used Covidence® software (Veritas Health Innovation, Australia) for the screening process of articles. After removing duplicates, titles and abstracts of all identified records were independently screened by two reviewers (NM and ALL) to assess their eligibility based on predefined inclusion and exclusion criteria. Full‐text articles were then retrieved for potentially relevant studies and were assessed in detail. Disagreements between reviewers were resolved through discussion or consultation with a third reviewer (IYH) when necessary. A standardised data extraction form was used to collect relevant information from the included studies, including study characteristics, population details, intervention or exposure, comparison, outcomes measured and key findings. Data extraction was performed independently by two reviewers (NM and IYH) to ensure accuracy and consistency.
2.4. Risk of bias
The risk of bias in the included studies was evaluated using tools specific to the study design. The Cochrane Risk of Bias 2.0 (RoB 2) 17 tool was applied to randomised controlled trials (RCTs), the Newcastle‐Ottawa Scale (NOS) 18 was used for observational studies, and the Joanna Briggs Institute (JBI) 19 critical appraisal checklist was applied to case series study. Studies that received an overall high risk score for RoB 2, poor quality for NOS, 18 or met <70% of JBI criteria were excluded from this systematic review. 17 , 18 , 19 Two reviewers (ALL and IYH) independently assessed each study, and any disagreements were resolved through consensus or by involving a third reviewer (NM).
2.5. Data analysis
AEs associated with bedaquiline–pretomanid‐based regimens were extracted and categorised by type, frequency, severity, management and outcome of AEs, and long‐term AE monitoring when available. Corresponding authors of the included studies were contacted to obtain missing information. Data were summarised in tables to highlight patterns and variations across studies. Special attention was given to serious adverse events (SAEs) and those leading to treatment discontinuation. Due to variability in study methodology on AE assessment and reporting, a meta‐analysis was not conducted. Instead, findings were synthesised narratively to present comprehensive data on AEs.
3. RESULTS
3.1. Systematic literature review
3.1.1. Screening process
The PRISMA screening process is shown in Figure 1. We identified 1625 articles from searching included databases. After removing duplicate records, 1337 articles were available for title and abstract screening. A total of 1218 studies were excluded mainly because they were conducted for drug‐susceptible TB or other diseases. Of the 119 articles selected for full‐text screening, 65 studies were excluded mainly because of non‐bedaquiline–pretomanid‐based regimens, and 40 articles that included bedaquiline–pretomanid‐based regimens were excluded for the following reasons: non‐original research article, i.e., review articles, case reports (n = 31), pharmacoeconomic study (n = 2), pharmacokinetic study (n = 2), preclinic study (n = 1), full‐text not available (n = 3) and different study population (n = 1). A total of 14 articles met all eligibility criteria and were included for data extraction and analysis.
FIGURE 1.

PRISMA diagram for articles selection in the systematic review.
3.1.2. Study characteristics
We found three types of studies: clinical trials (n = 7), implementation studies (n = 6) and a pharmacovigilance study (n = 1). Combinations of bedaquiline–pretomanid‐based regimens included linezolid, moxifloxacin, clofazimine (C) and pyrazinamide (Z), resulting in the following regimens: BPaL, BPaLM, BPaLC and BPaMZ. Clinical trial studies included in this review included Nix‐TB, 5 Zenix‐TB, 6 TB‐PRACTECAL, 8 , 13 SimpliciTB, 10 NC‐005 study, 9 and a study by Padmapriyadarsini et al. 20 For the TB‐PRACTECAL study, we included two articles; the first provided data on adverse events during treatment, while the second article presented information about adverse events that occurred after treatment completion. The implementation studies showed the use of bedaquiline–pretomanid‐based regimens in healthcare settings from several countries, including the United States of America, Italy, Thailand, Indonesia, Kyrgyzstan, Philippines, Vietnam, Belarus and Uzbekistan. 21 , 22 , 23 , 24 , 25 , 26 The global report of AEs was derived from a retrospective pharmacovigilance analysis using the US FDA Adverse Event Reporting System (FAERS) database. 27 Data on study characteristics are available in Table 1.
TABLE 1.
Study characteristics.
| Authors, year | Setting/country | Study design | Drug‐resistant tuberculosis type | BPa‐based regimen | n | AE (%) | SAE (%) | AEs identify method/classification | |
|---|---|---|---|---|---|---|---|---|---|
| Clinical trials | |||||||||
|
Tweed et al, 2019 9 NC‐005 |
South Africa, Tanzania and Uganda | Multicentre, open‐label, partially randomized, phase 2b trial | RR | BPaMZ | 60 | 57 (95.0%) a | 4 (6.7%) b | AE recorded at every trial visit, classified according to DMID Adult Toxicity Grading | |
|
Conradie et al, 2020 5 Nix‐TB study |
South Africa | Open‐label, single‐group trial | MDR and XDR | BPaL | 109 | 109 (100%) | 19 (17.4%) | AE recorded at every trial visit. All AEs were coded using the MedDRA and were presented by preferred terms within each MedDRA SOC. TEAEs were defined as AEs which started at or after first drug administration | |
|
Conradie et al, 2022 6 Zenix‐TB study |
South Africa, Georgia, Moldova and Russia | Partially blinded randomized clinical trial | RR, pre‐XDR and XDR | BPaL (1200, 26w) | 45 | 40 (88.9%) | 3 (6.7%) | AE recorded at every trial visit, TEAE coded using MedDRA v23.0. AE graded according to DMID Adult Toxicity Grading | |
| BPaL (1200, 9w) | 46 | 41 (89.1%) | 4 (8.7%) | ||||||
| BPaL (600, 26w) | 45 | 39 (86.7%) | 1 (2.2%) | ||||||
| BPaL (600, 9w) | 45 | 36 (80.0%) | 3 (6.7%) | ||||||
|
Nyang'wa et al, 2022 8 TB‐PRACTECAL study |
Belarus, South Africa, and Uzbekistan | Open‐label, phase 2–3, multicentre, randomized, controlled non‐inferiority trial | RR | BPaLM | 151 | 142 (94.0%) | 28 (18.5%) | AEs recorded at every trial visit. Safety data were presented and categorized by MedDRA system organ class. AE severity grades 1–4 as per the latest version of the MSF Severity grading scale | |
| BPaLC | 126 | 122 (96.8%) | 38 (30.2%) | ||||||
| BPaL | 122 | 120 (98.4%) | 27 (22.1%) | ||||||
| Padmapriyadarsini et al, 2024 20 | India | Open‐label, multicentre, parallel arm, randomized clinical trial | MDR and pre‐XDR | Weeks 1–9: | Weeks 10–26: | AEs assessed at every visit, classified according to DAIDS criteria version 2.1 and CTCAE version 5.0 | |||
| 26w BPaL (600 mg) | 135 | 106 (78.5%) | 96 (71.1%) | 8 (5.9%) | |||||
| 9w BPaL (600mg) + 17w BPaL (300 mg) | 135 | 112 (83.0%) | 84 (62.2%) | 13 (9.6%) | |||||
| 13w BPaL (600 mg) + 13w BPaL (300 mg) | 133 | 101 (75.9%) | 85 (63.9%) | 7 (5.3%) | |||||
|
Cevik et al, 2024 10 SimpliciTB |
South Africa, Tanzania, Uganda, Georgia, Russia, Philippines, Malaysia and Brazil | Partially randomized controlled, open‐label, phase 2c multicentre trial | DR‐TB | BPaMZ | 149 | 123 (82.6%) | 16 (10.7%) | AEs assessed weekly during the first 8 weeks, classified according to DMID Adult Toxicity Grading. Primary safety endpoint: TEAE | |
| Implementation studies | |||||||||
| Goswami et al,2022 21 | United State | Implementation | MDR, pre‐XDR and XDR | BPaL | 20 | 12 (60.0%) | NA | NA | |
| Gualano et al, 2025 22 | Italy | Cohort study | RR, MDR and pre‐XDR | BPaL and BPaLM | 22 | 11/19 (57.9%) | NA | AEs recorded at every visit, SAEs as per WHO definition and its the Severity Grading Scale (grades 1–5) | |
| Sangsayunh et al, 2024 23 | Thailand | Case series study | RR‐TB, MDR‐TB, pre‐XDR‐TB | BPaL and BPaLM | 22 | NA | NA | NA | |
| Labuda et al, 2024 24 | United States | Implementation | MDR, pre‐XDR and XDR | BPaLM | 36 | 12/21 (57.1%) | NA | NA | |
| BPaL | 116 | 41/98 (41.8%) | |||||||
|
Wares et al, 2024 25 LIFT‐TB project |
Indonesia, Kyrgyzstan, Philippines, Uzbekistan, Vietnam, Myanmar, Ukraine | Operational research | RR and MDR | BPaL | 323 | 235 (72.8%) | 79 (24.5%) | AEs recorded at every visit until 12 months | |
| Sinha et al, 2025 26 | Belarus and Uzbekistan | Prospective cohort study | RR, MDR, and pre‐XDR | BPaLM and BPaLC | 677 | NA | 69 (10.2%) c | AE recorded at occurrence. The primary safety outcome was the proportion of patients with an SAE during treatment or during 12‐month post‐treatment follow‐up period. SAEs as per WHO definition. Data on grade 1 and 2 AEs were not collected | |
| Pharmacovigilance study | |||||||||
| He et al, 2025 27 | Global | Retrospective pharmacovigilance analysis | NA | BPaL | NA | BPaL‐related AE report = 32 965 | Voluntary reporting from customer and healthcare practitioners, classified according to MedDRA | ||
| BPaL‐related DILI reports = 2079 | 1228/1242 d (98.9%) | ||||||||
Abbreviations: AE, adverse event; BPaL, bedaquiline, pretomanid and linezolid; BPaLC, bedaquiline, pretomanid, linezolid and clofazimine; BPaLM, bedaquiline, pretomanid, linezolid and moxifloxacin; BPaMZ, bedaquiline, pretomanid, moxifloxacin and pyrazinamide; CTCAE, Common Terminology Criteria for Adverse Events; DAIDS, Division of AIDS (US National Institute of Allergy and Infectious Diseases); DILI, drug‐induced liver injury; DMID, Division of Microbiology and Infectious Diseases; DR‐TB, drug‐resistant tuberculosis; MDR‐TB, multidrug‐resistant tuberculosis; MedDRA, Medical Dictionary for Regulatory Activities; MFS, Médecins Sans Frontières; NA, not available; pre‐XDR, pre‐extensively drug‐resistant tuberculosis; RR, rifampicin‐resistant tuberculosis; SAE, serious adverse event; SOC, System Organ Class; TEAE, treatment‐emergent adverse event.
Patients with at least one TEAEs.
Patients with at least one serious TEAE.
Data available only for serious adverse events.
Based on the number of AE reports that indicated DILI outcome severity.
3.1.3. Risk of bias
Five studies were evaluated using RoB 2, 6 , 8 , 9 , 10 , 20 seven studies with NOS, 5 , 21 , 22 , 24 , 25 , 26 , 27 and one study with JBI. 23 The assessment result showed that all the studies meeting the minimum criteria to be included in this systematic review. Detailed results of each risk of bias assessment are available in Supplementary S2.
3.2. Adverse events (AEs) of bedaquiline–pretomanid‐based regimens
3.2.1. Adverse events identification method and classification
Clinical trials used structural and detailed AE‐detection methods, and all patients underwent an AE assessment on every visit. Medical Dictionary for Regulatory Activities (MedDRA) was used in three studies (Nix‐TB, Zenix‐TB and TB‐PRACTECAL) as the coding system, and treatment‐emergent adverse events (TEAE) defined accordingly. 5 , 6 , 8 AEs were graded using a variety of grading systems, such as Division of Microbiology and Infectious Diseases (DMID) and Division of AIDS (U.S. National Institute of Allergy and Infectious Diseases) (DAIDS), as summarised in Table 1.
Unlike clinical trials, AEs in implementation studies were not all identified using a structured method. Three implementation studies mentioned that the investigator examined for AEs during treatment visits 22 , 25 , 26 while, in three other studies, the method used to identify AEs was not clearly explained in the article. 21 , 23 , 24 As a result, AE data from these implementation studies were limited. In contrast, the pharmacovigilance study used MedDRA as the coding system, similar to clinical trials, but the sources of AEs were spontaneous reports from consumers, healthcare practitioners and pharmacists. 27
In this systematic review, we summarised data regarding AEs for bedaquiline–pretomanid‐based regimens from 14 studies, including information from supplementary data if available. We described the prevalence of AEs and SAEs in patients with DR‐TB and categorised AEs based on organ system, severity level, management therapy, outcome and AEs that occurred after the completion of TB treatment.
Overall, there were differences in how AE data were presented across the studies. The clinical trials provided AEs data collected throughout the study period, whereas implementation studies collected AEs only during the duration of the DR‐TB treatment. Furthermore, four studies presented specific AEs data. In particular, Sinha et al. presented AEs only for grade ≥ 3 (severe conditions), 26 while Padmapriyadarsini et al. recorded AEs during two treatment periods: at weeks 1–9 and weeks 10–26. 20 The pharmacovigilance study specifically addressed drug‐induced liver injury (DILI), using the FAERS database as the source of data. 27 Additionally, only the TB‐PRACTECAL study had long‐term AE monitoring data 13 with follow‐up periods after treatment completion at 72 and 108 weeks.
3.2.2. Adverse events (AE) and serious adverse events (SAE)
The prevalence of AEs involving bedaquiline–pretomanid‐based regimens in clinical trials was notably higher compared with those in implementation studies. In clinical trials, the prevalence of AEs ranged from 62.2 to 100% among patients with DR‐TB, while implementation studies reported AEs in 41.8–72.8% of patients. In eight studies, 5 , 6 , 8 , 9 , 10 , 20 , 25 , 26 41.8–100% of patients with AEs developed SAEs, with a range of 2.2–30.2%. Data from a four‐year pharmacovigilance report found 32 965 AE reports related to the BPaL regimen, and 2079 reports related to drug‐induced liver injury (DILI) (Table 1).
3.2.3. Adverse events of special interest (AESI)
We categorised specific AEs from the included studies into 11 organ systems: hepatic and pancreatic, haematology, digestive, cardiology and vascular, renal and electrolyte, nervous, musculoskeletal, sensory, integument and respiratory (Table 2). Data from four clinical trials 5 , 6 , 8 , 20 reported more detailed AEs per organ system compared to other studies.
TABLE 2.
Adverse events of special interest (AESI) on bedaquiline–pretomanid‐based regimen.
| Clinical trials | Implementation studies | Pharmacovigilance study | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Diagnosis/sign/symptom | Tweed et al, 2019 9 | Conradie et al, 2020 5 | Conradie et al, 2022 6 | Nyang'wa et al, 2022 8, , a | Padmapriyadarsini et al, 2024 20, , b | Cevik et al, 2024 10 | Goswami et al, 2022 21 | Gualano et al, 2024 22 | Sangsayunh et al, 2024 23, , c | Labuda et al, 2024 24 | Wares et al, 2024 25 | Sinha et al, 2025 26, , d | He et al, 2025 27 | |||||
| BPaMZ | BPaL | 26w BPaL (600 mg) (n = 45) | BPaLM | BPaLC | BPaL | BPaL | 6BPaMZ | BPaL | BPaL/BPaLM | BPaL | BPaLM | BPaL | BPaLM | BPaL | BPaLM | BPaLC | BPaL | |
| (n = 60) | (n = 109) | (n = 151) | (n = 126) | (n = 122) | (n = 403) | (n = 149) | (n = 20) | (n = 19) | (n = 9) | (n = 14) | (n = 98) | (n = 21) | (n = 323) | (n = 448) | (n = 229) | (n = 2079) e | ||
| N (%) | ||||||||||||||||||
| Hepatic and pancreatic system | ||||||||||||||||||
| Increased liver enzymes | 9 (15.0) | 17 (15.6) | 3 (6.6) | 86 (57.0) | 99 (78.6) | 84 (68.9) | 417 events | 33 (22.1) | 2 (10.5) | 10 (10.2) | 0 | 9 (2.0) | 4 (1.7) | 259 (12.5) | ||||
| Hyperbilirubinemia | 2 (1.8) | 0 | 10 (6.6) | 8 (6.3) | 5 (4.1) | 20 events | ||||||||||||
| Elevated serum lipase | 5 (4.6) | 1 (2.2) | 15 (9.9) | 10 (7.9) | 23 (18.9) | 143 (35.5) | ||||||||||||
| Elevated serum amylase | 9 (8.3) | 1 (0.7) | 2 (1.6) | 1 (0.8) | 89 events | |||||||||||||
| Haematology system | ||||||||||||||||||
| Anaemia | 40 (36.7) | 1 (2.2) | 22 (14.6) | 16 (12.7) | 13 (10.7) | 183 (45.4) | 5 (26.3) | 0 | 0 | 3 (0.6) | 1 (0.4) | |||||||
| Low absolute neutrophil count/neutropenia | 9 (8.3) | 3 (6.6) | 22 (14.6) | 11 (8.7) | 15 (12.3) | |||||||||||||
| Transient leucopenia | 2 (1.8) | 1 (2.2) | 27 (17.8) | 17 (13.5) | 26 (21.3) | 1 (5.0) | ||||||||||||
| Thrombocytopenia | 6 (5.5) | 1 (2.2) | 5 (3.3) | 1 (0.8) | 2 (1.6) | 91 events | 0 | 0 | ||||||||||
| Myelosuppression | 52 (47.7) | 1 (2.2) | ||||||||||||||||
| Digestive system | ||||||||||||||||||
| Gastrointestinal disorders | 73 (66.9) | 10 (22.2) | 252 events | 165 events | 117 events | 86 events | 3 (15.0) | 3 (15.8) | 4 (17.4) | 7 (1.6) | 0 | |||||||
| Cardiology and vascular system | ||||||||||||||||||
| Cardiac rhythm abnormalities/prolonged QTc interval | 0 | 6 (5.5) | 0 | 1 (0.7) | 3 (2.4) | 0 | 163 events | 28 (18.8) | 2 (10.5) | 1 (7.1) | 5 (5.1) | 0 | 4 (0.9) | 0 | ||||
| Palpitation | 3 (2.8) | 0 | 3 (2.0) | 0 | 2 (1.6) | 2 (8.7) | ||||||||||||
| Atrioventricular block first degree | 2 (4.4) | 0 | 2 (1.6) | 1 (0.8) | ||||||||||||||
| Renal system and electrolyte imbalance | ||||||||||||||||||
| Acute kidney injury/renal dysfunction | 1 (0.9) | 4 (2.6) | 0 | 1 (0.8) | 1 (1.0) | 2 (9.5) | 2 (0.5) | 2 (0.9) | ||||||||||
| Hypocalcaemia | 2 (1.8) | 0 | 10 (6.6) | 4 (3.2) | 8 (6.6) | 99 (24.6) | ||||||||||||
| Hypercalcaemia | 0 | 0 | 2 (1.6) | |||||||||||||||
| Hypokalaemia | 2 (1.8) | 0 | 0 | 0 | 0 | |||||||||||||
| Hyperkalaemia | 3 (2.8) | 1 (2.2) | 7 (4.6) | 4 (3.2) | 6 (4.9) | |||||||||||||
| Nervous system | ||||||||||||||||||
| Peripheral neuropathy | 88 (80.7) | 11 (24.4) | 3 (2.0) | 4 (3.2) | 4 (3.3) | 66 (16.4) | 6 (30.0) | 2 (10.5) | 2 (22.2) | 4 (28.6) | 17 (17.3) | 5 (23.8) | ||||||
| Tremor | 1 (0.9) | 0 | 12 (7.9) | 7 (5.6) | 4 (3.3) | 2 (8.7) | ||||||||||||
| Fatigue | 3 (2.8) | 0 | 3 (2.0) | 0 | 1 (0.8) | 1 (5.0) | ||||||||||||
| Musculoskeletal system | ||||||||||||||||||
| Myalgia | 7 (6.4) | 1 (0.7) | 0 | 0 | 7 (7.1) | 3 (14.3) | ||||||||||||
| Arthralgia | 7 (6.4) | 0 | 12 (7.9) | 6 (4.8) | 17 (13.9) | 2 (10.0) | 10 (10.2) | 2 (9.5) | ||||||||||
| Sensory system | ||||||||||||||||||
| Ophthalmic (blurring of vision/optic neuritis) | 2 (1.8) | 0 | 0 | 0 | 0 | 9 events | 3 (15.0) | 2 (22.2) | 1 (7.1) | 6 (6.1) | 2 (9.5) | |||||||
| Hearing loss/deafness | 1 (2.2) | 5 (3.3) | 2 (1.6) | 4 (3.3) | 2 (10.0) | 2 (2.0) | 2 (9.5) | |||||||||||
| Tinnitus | 2 (1.3) | 1 (0.8) | 2 (1.6) | 1 (5.0) | 1 (1.0) | 1 (4.8) | ||||||||||||
| Vestibular dysfunction | 0 | 1 (0.8) | 0 | 3 (15.0) | 5 (5.1) | 2 (9.5) | ||||||||||||
| Integumentary system | ||||||||||||||||||
| Allergic reaction/skin rash | 18 (16.5) | 3 (6.7) | 14 (9.3) | 21 (16.7) | 21 (17.2) | 3 (0.7) | 2 (0.9) | |||||||||||
| Pruritus | 16 (14.7) | 3 (6.7) | 7 (4.6) | 10 (7.9) | 9 (7.4) | 1 (5.0) | ||||||||||||
| Neuropsychiatric system | ||||||||||||||||||
| Depression | 3 (2.8) | 5 (3.3) | 5 (4.0) | 3 (2.5) | 5 (25.0) | 9 (9.2) | 5 (23.8) | |||||||||||
| Suicide ideation or attempt | 1 (0.9) | 0 | 0 | 0 | 1 (0.8) | 1 (5.0) | 5 (5.1) | 1 (4.8) | ||||||||||
| Respiratory system | ||||||||||||||||||
| Haemoptysis | 14 (12.8) | 1 (2.2) | 5 (3.3) | 7 (5.6) | 8 (6.6) | |||||||||||||
| Pneumonia | 4 (3.7) | 0 | 0 | 2 (1.6) | 2 (1.6) | |||||||||||||
| Other | ||||||||||||||||||
| Irregular menses | 0 | 0 | 1 (0.8) | 1 (5.0) | ||||||||||||||
Note: An empty column means that AE data were not available in the articles.
All AEs (any grade) in the patient until 18 March 2021 study still continue after this period.
Data available in number of events or number of patients.
Data AEs available for detail in each group and some in overall in both groups.
Data available only on serious AEs.
Number of AE report.
Increased liver enzymes were the most common reported AE, manifesting as elevated aspartate aminotransferase, alanine aminotransferase, or both. In clinical trials, the percentage of patients experiencing raised liver enzymes ranged from 6.6 to 78.6%. 5 , 6 , 8 , 9 , 10 , 20 In contrast, implementation studies reported a maximum prevalence of only 10.5%, 22 which is comparable to 12.5% observed in a pharmacovigilance study. 27 Other hepatic and pancreatic system AEs, such as hyperbilirubinemia, elevated serum lipase or amylase, were reported in four clinical trials 5 , 6 , 8 , 20 with the highest prevalence being 6.6%, 35.5% and 8.3%, respectively.
Anaemia was the most common AE for the haematology system across nearly all studies. The highest prevalence for anaemia was 45.4% 20 in clinical trials and 26.3% 22 in implementation studies. Leukopenia and thrombocytopenia were observed in almost all clinical trials; however, only one implementation study reported these AEs. In clinical trials, the prevalence of thrombocytopenia ranged from 0.8% to 5.5%, 5 , 6 , 8 while the implementation study reported zero events. 23 Transient leukopenia occurred in 1.8–21.3% of patients in clinical trials, 5 , 6 , 8 and in 5.0% of patients in the implementation study. 21 Neutropenia and myelosuppression were only reported in clinical trials, with prevalence ranging between 6.6–14.6% 5 , 6 , 8 and 2.2–47.7%, respectively. 5 , 6
Gastrointestinal disorders included nausea, vomiting, dyspepsia and diarrhoea. Comparatively, the highest prevalence of gastrointestinal disorders in clinical trials was 66.9%, 5 but the highest was 17.4% in implementation studies. 23
The highest prevalence of cardiac rhythm abnormalities or prolonged QTc intervals was 18.8% 10 in clinical trials and 10.5% 22 in implementation studies. In contrast, no QTc interval‐related events were reported in three clinical trials and two implementation studies. 6 , 8 , 9 , 24 , 26 The prevalence of palpitations from three clinical trials ranged from 0 to 2.8%. 5 , 6 , 8 Two clinical trials also detected the occasional occurrence of first‐degree atrioventricular block occurring in around 0.8–4.4%. 6 , 8
The overall prevalence of acute kidney injury or renal dysfunction from two clinical trials ranged between 0 and 2.6%. 5 , 8 However, one implementation study reported that these occurred in 9.5% of patients. 24 We also summarised data on electrolyte imbalances, such as hypocalcaemia, hypercalcaemia, hypokalaemia and hyperkalaemia, which were only gathered from clinical trials; these cases were limited and ranged from 1.8 to 24.6%. 5 , 6 , 8 , 20
In the nervous system, peripheral neuropathy, tremor and fatigue were observed in patients. Among these AEs, peripheral neuropathy was most common, occurring in 80.7% 6 in clinical trials and 30.0% 21 in implementation studies. Tremor and fatigue were reported less frequently, with higher rates in the implementation study compared to clinical trials at 8.7% 23 and 5.0%, 21 respectively.
The prevalence of AEs related to musculoskeletal, sensory, integument, neuropsychiatric and respiratory systems was under 25% both in clinical trials and implementation studies. For the musculoskeletal system, myalgia occurred in 14.3% 24 while arthralgia in 13.9% of patients. 8 For the sensory system including ophthalmic disorders such as blurred vision and optic neuritis, hearing loss, tinnitus and vestibular dysfunction, AE prevalence was found to be higher in implementation studies compared with clinical trials. Specifically, in an implementation study, ophthalmic disorders occurred in 22.2% of patients, 23 whereas, two clinical trials reported no ophthalmic disorders. 6 , 8 Overall occurrence rates in clinical trials and implementation studies were 2–10% for hearing loss/deafness, 0.8–5% for tinnitus, and 0–15% for vestibular dysfunction.
Allergic reaction/skin rash and pruritus were reported in almost all clinical trials with a range of 4.6–17.2%. 5 , 6 , 8 However, only two implementation studies 21 , 26 reported skin‐related AEs with lower prevalence compared with clinical trials. For the respiratory system, we identified haemoptysis and pneumonia as AEs. The prevalence of haemoptysis in patients with DR‐TB was 2.2–12.8%, while pneumonia had a lower prevalence, ranging from 0 to 3.7%. 5 , 6 , 8 , 9
We found that depression was significantly higher in implementation studies compared to clinical trials. Two implementation studies reported depression rates of 23.8% 24 and 25%. 21 In contrast, the highest prevalence of depression in clinical trials was only 4%. 8 Suicidal ideation or attempts were also higher in implementation studies than clinical trials; however, these events were relatively fewer compared with depression, accounting for a maximum of 5.1%. 24 However, the onset of depression and suicidal ideation or attempts were not clearly mentioned in the studies. 5 , 6 , 8 , 21 , 24 Irregular menses was another AE observed in the clinical trial and implementation studies, with the highest prevalence being 5%. 21
3.2.4. Severity of adverse events
Severity data presented in Table 3 were found in four studies covering data on 26 weeks of BPaL and BPaLM. 5 , 6 , 20 , 22 A four‐level grading system was applied in three clinical trials 5 , 6 , 20 while the implementation study used a three‐level system. 22
TABLE 3.
Severity of adverse events on Bedaquiline–Pretomanid‐based regimen.
| Study & regimen | Conradie et al, 2020 5 , a | Conradie et al, 2022 6 , a | Gualano et al, 2024 22 , b | Padmapriyadarsini et al, 2024 20 , a | |||
|---|---|---|---|---|---|---|---|
| BPaL (n = 109) | 26w BPaL (600 mg) (n = 45) | BPaL/BPaLM (n = 19) | 26w BPaL(600 mg) (n = 135) | 9wBPaL(600 mg) 17wBPaL(300 mg) (n = 135) | 13w BPaL(600 mg) 13w BPaL(300 mg) (n = 133) | ||
| Grade of AESI | N (%) | No. of case c | |||||
| Gastrointestinal disorders | |||||||
| Grade 1 | 0 | 25 | 32 | 23 | |||
| Grade 2 | 2 (11.0%) | 1 | 1 | 1 | |||
| Grade 3 | 1 (5.3%) | 1 | 2 | 0 | |||
| Grade 4 | NA | 0 | 0 | 0 | |||
| Increased liver enzymes | |||||||
| Grade 1 | 0 | 2 (11.0%) | 118 | 128 | 130 | ||
| Grade 2 | 1 (0.9%) | 0 | 11 | 15 | 9 | ||
| Grade 3 | 0 | 0 | 2 | 1 | 1 | ||
| Grade 4 | 1 (0.9%) | NA | 1 | 0 | 1 | ||
| Anaemia | |||||||
| Grade 1 | 15 (13.8%) | 4 (21.1%) | 46 | 64 | 50 | ||
| Grade 2 | 20 (18.3%) | 0 | 23 | 26 | 17 | ||
| Grade 3 | 5 (4.6%) | 1 (5.3%) | 16 | 6 | 8 | ||
| Grade 4 | 2 (1.8%) | NA | 2 | 0 | 0 | ||
| Peripheral neuropathy | |||||||
| Grade 1 | 10 (22.2%) | 2 (11.0%) | 22 | 17 | 18 | ||
| Grade 2 | 1 (2.2%) | 0 | 4 | 1 | 1 | ||
| Grade 3 | 0 | 0 | 7 | 1 | 1 | ||
| Grade 4 | 0 | NA | 0 | 0 | 0 | ||
| Cardiac rhythm abnormalities/prolonged QTc interval/syncope | |||||||
| Grade 1 | 6 (5.5%) | 2 (11.0%) | 5 | 4 | 4 | ||
| Grade 2 | 0 | 0 | 1 | 0 | 0 | ||
| Grade 3 | 0 | 0 | 45 | 55 | 49 | ||
| Grade 4 | 0 | NA | 0 | 0 | 0 | ||
| Optic neuritis | |||||||
| Grade 1 | 0 | 2 | 32 | 23 | |||
| Grade 2 | 0 | 1 | 1 | 1 | |||
| Grade 3 | 0 | 1 | 2 | 0 | |||
| Grade 4 | 1 (0.9%) | 0 | 0 | 0 | |||
Note: An empty column means AEs data was not available in the articles.
Grade 1 (Mild); Grade 2 (Moderate); Grade 3 (Severe); Grade 4 (Potentially Life Threatening).
Severity Grading Scale (grades 1–3): Grade 1: Mild. Grade 2: Moderate. Grade 3: Severe or medically significant but not immediately life‐threatening; hospitalization or prolongation of hospitalization indicated; disabling; limiting self‐care ADLs.
Data available in number of AEs cases.
Most gastrointestinal disorder, peripheral neuropathy and anaemia cases were severity grades 1 and 2, with limited grade 3 cases. There were no grade 4 (severe) gastrointestinal disorder or peripheral neuropathy cases, but grade 4 anaemia events were reported in two studies, accounting for 1.8% of patients. 5 , 20
Most increases in liver enzymes were grade 1. Severe (grade 4) liver enzyme AEs occurred in 0.9% of patients who received a BPaL regimen, 5 and Padmapriyadarsini et al. 20 described two events. In contrast, pharmacovigilance study showed that 98.9% of BPaL‐related DILI were serious cases. 27
Mild QTc interval prolongation occurred in two studies. 5 , 22 However, in a different study, 20 severe QTc prolongation was found more often compared with mild or moderate cases. For optic neuritis severity, data from two clinical trials showed that one reported optic neuritis cases at grade 1–3, 20 while the other study documented cases of severe optic neuritis. 5
3.2.5. Management therapy of adverse events
Clinician action or management therapy to treat the AEs differed based on patient conditions as presented in Table 4. TB drug interruptions due to the occurrence of SAEs during treatment ranged from 7.7 to 54.3%. In comparison, drug withdrawal was reported between 3.5 and 13.0% (see Table 5). Additionally, two clinical trials 6 , 20 using BPaL regimens reported clinician action specifically for linezolid. Interruption of linezolid was necessary in 4% of patients, while 7.7% required dose reduction. 6 Further action for AEs, such as discontinuing linezolid, was taken for 1.5% 20 to 4.4% of patients. 6
TABLE 4.
Management therapy of adverse events on Bedaquiline–Pretomanid‐based regimen.
| Type of AE | Management |
|---|---|
| Gastrointestinal disorder | Mild (grade 1) condition gastrointestinal disorder was improved over time without specific treatment in patients that received BPaL(M) regimen. 24 However, moderate condition requires supportive treatments. 23 Interruption on the suspected drug (fluoroquinolone) was necessary if AEs develop to severe conditions. 23 |
| Anaemia | If anaemia caused by linezolid was treated with iron supplementation for mild condition. If the condition develops further to severe condition (grades 3 and 4), the dose of linezolid should be reduced from 600 mg to 300 mg become the recommended action. This adjustment was important, and patients showed signs of recovery within two months after action was implemented. 21 , 23 Moreover, transfusion given to certain patients based on their conditions. 21 |
| Increased liver enzymes | Management of grade 3–4 adverse events involve administration of supportive medications. Temporary interruption of the causative drug may be necessary, followed by reintroduction at a reduced dose. If bedaquiline is suspected as the causative agent, it should be discontinued or substituted with an alternative anti‐TB drug. 21 |
| Peripheral neuropathy | Vitamin B6 or pregabalin prescribed for patients with mild peripheral neuropathy (grade 1). 23 , 24 In case of moderate conditions, linezolid dose should be reduced to 300 mg or discontinued if unresponsive to dose reduction. 24 |
| Prolonged QTc interval | Grade 1 management involves close monitoring without specific treatment, or temporary drug interruption if necessary. 21 , 23 |
| Optic neuritis | Optic neuritis resolved after linezolid should be withdrawn from the BPaL regimen. 5 However, there was case required discontinued TB treatment in affected patients. 24 |
| Elevated serum lipase levels | For conditions where the increasing serum lipase did not show adverse symptoms, no specific intervention required, and patient's condition improved over the time. 21 |
| Hypocalcaemia | A combination of calcium and vitamin D3 should be administered daily until levels return to normal. 21 |
Note: Adverse Events (AE), Bedaquiline, Pretomanid, and Linezolid (BPaL), Bedaquiline, Pretomanid, Linezolid, and Moxifloxacin (BPaLM).
TABLE 5.
Clinician action on adverse events on Bedaquiline–Pretomanid‐based regimen.
| Clinician action | Tweed et al, 2019 9 | Conradie et al, 2022 6 | Cevik et al, 2024 10 | Sinha et al, 2025 26 | |
|---|---|---|---|---|---|
| BPaMZ (n = 60) | 26w BPaL (600 mg) (n = 45) | BPaMZ (n = 149) | BPaLM (n = 448) | BPaLC (n = 229) | |
| Patients with SAEs | 57 | 39 | 123 | 46 | 23 |
| Drug interrupted | NA | 3 (7.7%) | NA | 25 (54.3) | 9 (39.1) |
| Drug withdrawn | 2 (3.5%) | 4 (10.3%) | 16 (13.0%) | 6 (13.0) | 2 (8.7) |
Note: Serious Adverse Events (SAEs). Percentage = number of patients with drug interrupted or withdrawn/total patients with SAEs.
3.2.6. Outcome of adverse events
The distribution of AE outcomes varied significantly among the three bedaquiline–pretomanid‐based regimens, as shown in Table 6. The highest proportion of patients achieving full recovery was reported in the BPaMZ group at 79.2%. 10 This result was significantly greater than recovery rates for BPaLM and BPaLC, both at 56.5%. 26 Other categories of AE outcomes were recovery with sequelae, recovering and not‐recovered, with a small percentage of patients across these outcomes at 8.7% or less. Fatal AE outcomes included all deaths for any reason that were reported during and after the treatment completion. The percentages for fatal outcome were 30.4% for BPaLM, 43.5% for BPaLC, while BPaMZ reported zero cases. 10 , 26
TABLE 6.
Outcome of adverse events on Bedaquiline–Pretomanid‐based regimen.
| Outcome of the AEs | Sinha et al, 2025, 26 , a | Cevik et al, 2024, 10 , b | |
|---|---|---|---|
| BPaLM (n = 46) | BPaLC (n = 23) | BPaMZ (n = 48) | |
| Recovered | 26 (56.5) | 13 (56.5) | 38 (79.2) |
| Recovered with sequelae | 1 (2.2) | 0 | 3 (6.3) |
| Recovering | 4 (8.7) | 0 | 3 (6.3) |
| Not recovered (i.e., ongoing or worsening) | 1 (2.2) | 0 | 3 (6.3) |
| Fatal c | 14 (30.4) | 10 (43.5) | 0 |
| Unknown | NA | NA | 1 (2.1) |
Note: Adverse Events (AEs), Serious Adverse Events (SAEs).
Data for all SAEs.
Data outcome AEs represent for AEs related to liver.
Fatal: included death as a safety outcome covered all deaths from any cause on treatment and during the post‐treatment safety follow‐up phase.
3.2.7. Adverse events after treatment completion
One clinical trial 13 monitored AEs in patients after their treatment was completed. The available data covered two time periods calculated from the start of treatment: 72 weeks and 108 weeks. In both periods, the prevalence of AEs among patients was similar across the BPaLM, BPaLC and BPaL regimens, ranging from 23 to 32%. The study also reported the number of serious AEs and grade ≥3 AEs for the two periods (see Table 7). At 72 weeks, the three most common AEs occurring after treatment completion were for hepatic disorders, cardiac disorders and anaemia. 13
TABLE 7.
Adverse events on Bedaquiline–Pretomanid‐based regimen after treatment completion.
| Follow up period | Nyang'wa et al, 2024 13 | ||
|---|---|---|---|
| BPaLM (n = 151) | BPaLC (n = 126) | BPaL (n = 122) | |
| 72w | |||
| Participants with at least one event | 34 (23%) | 38 (30%) | 29 (24%) |
| Number of events | 53 | 52 | 45 |
| Serious | 13 | 24 | 20 |
| Grade ≥3 | 51 | 50 | 41 |
| AESI a | |||
| Hepatic disorder | 17/12 | 7/5 | 5/5 |
| Cardiac | 2/2 | 4/4 | 0/0 |
| Anaemia | 6/5 | 1/1 | 1/1 |
| 108w | |||
| Participants with at least one event | 35 (23%) | 40 (32%) | 30 (25%) |
| Number of events | 58 | 54 | 51 |
| Serious | 13 | 26 | 22 |
| Grade ≥3 | 56 | 52 | 47 |
Adverse Events Special Interest (AESI). Data present in number of events/patients. Hepatic disorder included: increased in alanine aminotransferase, aspartate aminotransferase, gamma‐glutamyl transferase, hepatic enzyme and transaminases. Cardiac included: cardiac or sudden death, electrocardiogram QT prolonged and syncope.
4. DISCUSSION
Our systematic review presented data focusing on AEs for bedaquiline–pretomanid‐based regimens, which consist of BPaL, BPaLM, BPaLC and BPaMZ combinations. These regimens were used for patients with DR‐TB, including RR, MDR, pre‐XDR and XDR‐TB. In contrast to previous reviews, 15 , 16 we analysed AEs not only from clinical trials but also from real‐world implementation of these regimens, encompassing data from implementation and pharmacovigilance studies from multiple countries. The integration of data from various settings yielded comprehensive information for healthcare professionals regarding AEs associated with these regimens in clinical settings. Therefore, this systematic review reflects AEs observed in a more heterogenous ‘real‐life’ population than just clinical trials alone. This information may help healthcare professionals gain a better understanding of the new regimens and provide comprehensive, patient‐centered care. 28 , 29
We identified variability in methods used to detect AEs (Table 1) which may have accounted for differences in the prevalence and AEs data presented between studies. Two widely used data standards for coding AEs in clinical trials, i.e., MedDRA and Common Terminology Criteria for Adverse Events (CTCAE), were used in the clinical trials. 30 MedDRA comprises 26 top‐level hierarchies known as System Organ Classes (SOC). In contrast, CTCAE groups AEs into 28 categories based on anatomy and is embedded with a severity grading system (scale 1–5). 30 In addition to these general standards coding, some clinical trials used specific standards for grading severity of AEs, that is, DAIDS severity grading consisting of five scales. 31 Differences in AE definitions and grading criteria between MedDRA and CTCAE likely contributed to differences in AEs between clinical trials. 30 Similarly, different parameters for each scale for AEs severity grading between CTCAE 30 and DAIDS 31 that different studies used may also have contributed to heterogeneity in AE results in this systematic review.
Active AE assessment methods were used in clinical trials 5 , 6 , 8 , 9 , 10 , 20 with specific standard coding, while AE detection in real‐world settings relied more on passive reporting from patients, their families and healthcare professionals. 22 , 26 In clinical trials, AEs were comprehensively recorded with thorough assessment by well‐trained healthcare teams and detailed management procedures to ensure patient safety as part of good clinical practice (GCP) guidelines. 5 , 6 , 8 , 9 , 10 , 20 In contrast, AE detection in non‐trial clinical settings differed from this in many ways such as the absence of a standardised method in AE detection including the format and reporting system, lack of formal healthcare professional training in monitoring and management of AEs, and less resources than clinical trials which subsequently required healthcare professionals themselves to implement the specific AE monitoring system. 32 , 33 , 34 Consequently, we found the number of recorded AEs tended to be both higher and more detailed in clinical trials compared to implementation studies (Table 1). Our findings indicated that every patient in the clinical trials experienced AEs during treatment. 6 However, in implementation studies, the prevalence of AEs (maximum of 73%) was lower than that reported in clinical trials, 25 which could be related to underreporting of AEs due to the methodological issues in monitoring AEs in clinical settings. However, among patients with AEs, the highest rate of developing serious AE conditions in clinical trials and implementation studies was relatively similar, at 30.2% and 24.5%, respectively (Table 1).
Our findings highlight limitations in AE reporting inherent to non‐clinical trial studies, including AE underreporting and variability in reporting quality, 35 a bias towards reporting predominantly SAEs, 36 and the use of a narrative system to grade the severity of AEs based on clinician assessment rather than established graded scales. 27 A systematic review by Lopez‐Gonzales et al. (2009) 36 found that healthcare professionals' knowledge and attitude towards AEs significantly contribute to their underreporting. These factors include a lack of knowledge of the urgency of AE reporting, a misconception that only SAEs require reporting, a lack of confidence in determining whether an AE is an ADR, and the belief that all ADRs were already known when the drug was approved for marketing. 35 Therefore, adequate training for all healthcare professionals and consistent implementation of good pharmacovigilance practice (GVP) are needed to improve both the quantity and quality of AE reporting in clinical settings.
The WHO Global Tuberculosis Report 2025 documented an increase in the treatment success rate for patients with MDR/RR‐TB from 68% in 2021 to 71% in 2022. This represents a substantial improvement compared to 2012, when the success rate was only 50%. 37 However, AE occurring during treatment continues to pose a significant challenge to achieving a favourable outcome. 3 , 38 The WHO has introduced a framework for active drug‐safety monitoring and management (aDSM) specifically for new anti‐TB drugs and novel MDR‐TB or XDR‐TB regimens, 39 , 40 which included bedaquiline–pretomanid‐based regimens in our review. aDSM refers to active safety monitoring that was designed for systematic clinical and laboratory assessment of patients during their TB treatment. 40 Recent implementation of aDSM in detection of RR‐TB AEs in a national multi‐centre study in Taiwan resulted in more comprehensive data of AEs. 33 Additionally, recent clinical standards for AE management during TB treatment 41 emphasised that active surveillance by healthcare professionals using aDSM is important in assessing and monitoring AEs and can lead to timely and appropriate management of these AEs in their early stages. 41 We found that ≥56.5% of the patients recovered from the AEs. 10 , 26 We expect that this recovery rate could be improved through the early detection and management of AEs. By identifying AEs at an early, less severe stage, healthcare professionals can implement management strategies and therapies more effectively, leading to better outcomes.
The WHO framework (2015) and Singh et al. study (2023) recommended aDSM for all SAEs and AESIs, including visual (optic neuritis) and hearing impairment/loss, peripheral neuropathy, psychiatric disorder, myelosuppression (anaemia, thrombocytopenia, neutropenia or leukopenia), prolonged QTc interval, liver enzyme abnormalities, lactic acidosis, hypothyroidism, hypokalaemia, pancreatitis, phospholipidosis and acute kidney injury/failure. 40 , 41 All of these AESIs were recorded in detail in clinical trials, but not in implementation studies. Six types of AEs that were detected in almost all the included studies were increased liver enzymes, anaemia, gastrointestinal disorder, prolonged QTc interval, peripheral neuropathy and ophthalmic disorder (blurred vision and optic neuritis) (Table 2).
Our review revealed that the prevalence of AE related to the neuropsychiatric system, such as depression and suicide attempts, was significantly higher in implementation studies, affecting 25% of patients, 21 compared to only 4% in clinical trials. 8 A possibility to account for this important difference may be related to the strict selection criteria for patient inclusion in clinical trials, whereas real‐world studies generally include all patients with TB disease. A systematic review in 2020 42 revealed that among patients with TB, the overall prevalence of depression was 45.1%. This rate was even higher in MDR‐TB, where 52.3% of patients experienced depression compared to 43.5% in non‐MDR‐TB. 42 These findings are consistent with another systematic review focused on patients with DR‐TB in South Asia, which reported a depression rate of 54%. 43 Depression as an AE has been linked to TB drugs, including moxifloxacin, which was part of the regimens included in our review. Additionally, several factors may have also contributed to depression among patients with DR‐TB, such as disease‐related social stigma, the perception of patients living with an untreatable disease and discrimination due to their infection. 44 , 45 , 46 Moreover, anxiety in patients with MDR‐TB may already be present even prior to commencing treatment. 44 Therefore, our review identifies the importance of screening for neuropsychiatric disease before and during treatment and integrating mental health support when necessary.
Management implemented for AEs varied depending on the severity level of AEs, from monitoring the patient's condition only, prescribing medicine to treat AE symptoms with or without drug interruption, to withdrawal of the suspected drug that caused more severe AEs. 5 , 6 , 9 , 10 , 20 , 22 , 23 , 26 For SAEs during BPaLM treatment, drug interruption during the treatment occurred in more than 50% of patients 26 while withdrawal of the suspected drug reached 13%. 10 , 26 The AE impact on TB treatment is demonstrated by a systematic review for the Asia region showing that adverse drug reactions doubled the odds of treatment discontinuation (OR 2.01; 95% CI:1.20–3.34). 38
Another important consideration for MDR/RR‐TB treatment is that AEs may have prolonged effects, even after treatment completion. A systematic review and meta‐analysis found that long‐term monitoring of AEs after the completion of treatment is essential to detect any sequelae of AEs caused by TB drugs. 47 A clinical trial 13 with patients followed up to 72 weeks and 108 weeks after the start of treatment, it was found that approximately 30% of patients experienced AEs related to anaemia, and hepatic and cardiac systems. 13 With this data, we recommend establishing safety monitoring not only during treatment but also for an extended period afterwards for patients who received bedaquiline–pretomanid‐based regimen, including the BPaL(M) regimen to look for post‐TB treatment sequelae. 48
Considering the WHO's recommendation for the widely used BPaL(M) regimen for patients with MDR/RR‐TB 49 and noting the discrepancies between active and passive AE monitoring as previously demonstrated, we agree with others in proposing the establishment of a practical and structured tool for detecting AEs in clinical settings. 29 , 32 The Global Trigger Tool, 50 developed by the Institute for Healthcare Improvement, may be a method of implementing active methods for AE identification following modification and adaptation for TB treatments. 50 Further research is needed to adapt these trigger tools specifically for TB management, referencing the aDSM 39 its implementation in clinical settings, 51 , 52 and clinical guidelines for AE management. 41
5. CONCLUSION
New shorter bedaquiline–pretomanid‐based regimens for DR‐TB treatment, particularly the BPaL(M) regimen, are becoming increasingly used worldwide and are associated with a high prevalence of AEs, even after treatment completion. Our review integrated and compared data of AEs of these new shorter regimens from clinical trials, implementation and pharmacovigilance studies and identified a trend of fewer‐reported AEs in implementation and pharmacovigilance studies, likely related to underreporting from spontaneous reporting methods used in real‐world settings rather than active AE monitoring methods in clinical trials, and a bias towards reporting more severe AEs only. Despite the existence of clear guidelines such as the aDSM by WHO and international clinical standards on AE monitoring during TB treatment, healthcare professionals may still face challenges in applying these methods in routine care. Therefore, we emphasise the need to establish an active AE‐monitoring method that can be easily utilised by healthcare professionals worldwide to enhance the standard of care in DR‐TB treatment and create a uniform framework for global data collection on AEs in RR/MDR‐TB treatment.
5.1. Nomenclature of targets and ligands
Key protein targets and ligands in this article are hyperlinked to corresponding entries in http://www.guidetopharmacology.org, and are permanently archived in the Concise Guide to PHARMACOLOGY2021/22. 53 , 54
AUTHOR CONTRIBUTIONS
All authors contributed to this study. Conception and design study developed by NM, JGC and JWA. Data collection and analyses were performed by NM, ALL, IYH, JGC and JWA. The first draft was written by NM. All authors read and approved of the final manuscript.
CONFLICT OF INTEREST STATEMENT
The authors declare no competing interest.
Supporting information
Data S1. Search strategy and keywords used for each database.
Data S2. Risk of bias assessment results.
ACKNOWLEDGMENTS
We would like to express our gratitude for the Australia Awards Scholarship. Open access publishing facilitated by The University of Sydney, as part of the Wiley ‐ The University of Sydney agreement via the Council of Australasian University Librarians
Maria N, Larasati AL, Hamdani IY, Cho J‐G, Alffenaar J‐WC. Adverse events in bedaquiline‐ and pretomanid‐based regimens for drug‐resistant tuberculosis from trial, implementation and pharmacovigilance studies. Br J Clin Pharmacol. 2026;92(8):2607‐2623. doi: 10.1002/bcp.70541
Funding information No funding was received for this review.
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are available from the corresponding author upon reasonable request.
REFERENCES
- 1. World Health Organization . Global TB Rep 2024 2024.
- 2. Günther G, Guglielmetti L, Leu C, et al. Availability and costs of medicines for the treatment of tuberculosis in Europe. Clin Microbiol Infect. 2023;29(1):77‐84. doi: 10.1016/j.cmi.2022.07.026 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Lan Z, Ahmad N, Baghaei P, et al. Drug‐associated adverse events in the treatment of multidrug‐resistant tuberculosis: an individual patient data meta‐analysis. Lancet Respir Med. 2020;8(4):383‐394. doi: 10.1016/s2213-2600(20)30047-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Dheda K, Lange C. Towards shorter, safer, flexible, and more effective treatment regimens for drug‐resistant tuberculosis. Lancet Respir Med. 2024;12(12):939‐941. doi: 10.1016/S2213-2600(24)00300-X [DOI] [PubMed] [Google Scholar]
- 5. Conradie F, Diacon AH, Ngubane N, et al. Treatment of highly drug‐resistant pulmonary tuberculosis. N Engl J Med. 2020;382(10):893‐902. doi: 10.1056/NEJMoa1901814 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Conradie F, Bagdasaryan TR, Borisov S, et al. Bedaquiline‐Pretomanid‐linezolid regimens for drug‐resistant tuberculosis. N Engl J Med. 2022;387(9):810‐823. doi: 10.1056/NEJMoa2119430 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Holger DJ, Althubyani A, Morrisette T, Rebold N, Tailor M. Updates in pulmonary drug‐resistant tuberculosis pharmacotherapy: a focus on BPAL and BPALM. Pharmacotherapy. 2024;44(3):268‐282. doi: 10.1002/phar.2909 [DOI] [PubMed] [Google Scholar]
- 8. Nyang'wa B‐T, Berry C, Kazounis E, et al. A 24‐week, all‐oral regimen for rifampin‐resistant tuberculosis. N Engl J Med. 2022;387(25):2331‐2343. doi: 10.1056/NEJMoa2117166 [DOI] [PubMed] [Google Scholar]
- 9. Tweed CD, Dawson R, Burger DA, et al. Bedaquiline, moxifloxacin, pretomanid, and pyrazinamide during the first 8 weeks of treatment of patients with drug‐susceptible or drug‐resistant pulmonary tuberculosis: a multicentre, open‐label, partially randomised, phase 2b trial. Lancet Respir Med. 2019;7(12):1048‐1058. doi: 10.1016/s2213-2600(19)30366-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Cevik M, Thompson LC, Upton C, et al. Bedaquiline‐pretomanid‐moxifloxacin‐pyrazinamide for drug‐sensitive and drug‐resistant pulmonary tuberculosis treatment: a phase 2c, open‐label, multicentre, partially randomised controlled trial. Lancet Infect Dis. 2024;24(9):1003‐1014. doi: 10.1016/S1473-3099(24)00223-8 [DOI] [PubMed] [Google Scholar]
- 11. World Health Organization . WHO operational handbook on tuberculosis. Module 4: treatment‐drug‐resistant tuberculosis treatment, 2022 update. World Health Organization; 2022. [Google Scholar]
- 12. Provisional C . Guidance for the Use of Pretomanid as Part of a Regimen [Bedaquiline, Pretomanid, and Linezolid (BPaL)] to Treat Drug‐Resistant Tuberculosis Disease. 2022.
- 13. Nyang'wa BT, Berry C, Kazounis E, et al. Short oral regimens for pulmonary rifampicin‐resistant tuberculosis (TB‐PRACTECAL): an open‐label, randomised, controlled, phase 2B‐3, multi‐arm, multicentre, non‐inferiority trial. Lancet Respir Med. 2024;12(2):117‐128. doi: 10.1016/s2213-2600(23)00389-2 [DOI] [PubMed] [Google Scholar]
- 14. Solans BP, Imperial MZ, Olugbosi M, Savic RM. Analysis of dynamic efficacy endpoints of the nix‐TB trial. Clin Infect Dis. 2023;76(11):1903‐1910. doi: 10.1093/cid/ciad051 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Lopes SR, Marçal M, Fernandes N, et al. Update in tuberculosis treatment: a scoping review of current practices. Breathe. 2025;21(1):240232. doi: 10.1183/20734735.0232-2024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Hasan T, Medcalf E, Nyang'wa BT, et al. The safety and tolerability of linezolid in novel short‐course regimens containing Bedaquiline, Pretomanid, and linezolid to treat rifampicin‐resistant tuberculosis: an individual patient data meta‐analysis. Clin Infect Dis. 2024;78(3):730‐741. doi: 10.1093/cid/ciad653 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Sterne JAC, Savović J, Page MJ, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. 2019;366:l4898. doi: 10.1136/bmj.l4898 [DOI] [PubMed] [Google Scholar]
- 18. Wells BS GA, O'Connell D, Peterson J, Welch V, Losos M, Tugwell P. The Newcastle‐Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta‐analyses. Available online: https://www.ohri.ca/programs/clinical_epidemiology/oxford.asp#::text=It%20was%20developed%20to%20assess%20the%20quality%20of,quality%20assessments%20in%20the%20interpretation%20of%20meta-analytic%20results
- 19. Hilton M. JBI critical appraisal checklist for systematic reviews and research syntheses (product review). Journal of the Canadian Health Libraries Association / Journal de L'association des bibliothèques de la santé du Canada. 2024;45(3):180‐183. doi: 10.29173/jchla29801 [DOI] [Google Scholar]
- 20. Padmapriyadarsini C, Oswal VS, Jain CD, et al. Effectiveness and safety of varying doses of linezolid with bedaquiline and pretomanid in treatment of drug‐resistant pulmonary tuberculosis: open‐label, randomized clinical trial. Clin Infect Dis. 2024;79(6):1375‐1385. doi: 10.1093/cid/ciae388 [DOI] [PubMed] [Google Scholar]
- 21. Goswami ND, Ashkin D, Haley CA. Pretomanid in the treatment of patients with tuberculosis in the United States. N Engl J Med. 2022;387(9):850‐852. doi: 10.1056/NEJMc2119461 [DOI] [PubMed] [Google Scholar]
- 22. Gualano G, Musso M, Mencarini P, et al. Safety and effectiveness of BPaL‐based regimens to treat multidrug‐resistant TB: first experience of an Italian tuberculosis referral hospital. Antibiotics‐Basel. 2025;14(1):7. doi: 10.3390/antibiotics14010007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Sangsayunh P, Sanchat T, Chuchottaworn C, Cheewakul K, Rattanawai S. The use of BPaL containing regimen in the MDR/PreXDR TB treatments in Thailand. J Clin Tuberc Other Mycobacter Dis. 2024;34:100408. doi: 10.1016/j.jctube.2023.100408 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Labuda SM, Seaworth B, Dasgupta S, Goswami ND. Bedaquiline, pretomanid, and linezolid with or without moxifloxacin for tuberculosis. Lancet Respir Med. 2024;12(2):e5‐e6. doi: 10.1016/s2213-2600(23)00426-5 [DOI] [PubMed] [Google Scholar]
- 25. Wares DF, Mbenga M, Mirtskhulava V, et al. Introducing BPaL: experiences from countries supported under the LIFT‐TB project. PLoS ONE. 2024;19(11):e0310773. doi: 10.1371/journal.pone.0310773 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Sinha A, Klebe R, Rekart ML, et al. The effectiveness and safety of Bedaquiline, Pretomanid, and linezolid (BPaL)‐based regimens for rifampicin‐resistant tuberculosis in non‐trial settings‐a prospective cohort study in Belarus and Uzbekistan. Clin Infect Dis. 2025;81(4):838‐845. doi: 10.1093/cid/ciaf035 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. He Q, Li Y, Liu S, et al. Drug‐induced liver injury associated with pretomanid, bedaquiline, and linezolid: insights from FAERS database analysis. Br J Clin Pharmacol. 2025;91(3):799‐807. doi: 10.1111/bcp.16318 [DOI] [PubMed] [Google Scholar]
- 28. Ausi Y, Santoso P, Sunjaya DK, Barliana MI. Between curing and torturing: burden of adverse reaction in drug‐resistant tuberculosis therapy. Patient Prefer Adherence. 2021;15:2597‐2607. doi: 10.2147/PPA.S333111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Ngoc NB, Vu Dinh H, Thuy NT, et al. Active surveillance for adverse events in patients on longer treatment regimens for multidrug‐resistant tuberculosis in Viet Nam. PLoS ONE. 2021;16(9):e0255357. doi: 10.1371/journal.pone.0255357 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Richesson RL, Fung KW, Krischer JP. Heterogeneous but “standard” coding systems for adverse events: issues in achieving interoperability between apples and oranges. Contemp Clin Trials. 2008;29(5):635‐645. doi: 10.1016/j.cct.2008.02.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. U.S. Department of Health and Human Services, National Institutes of Health, National Institute of Allergy and Infectious Diseases, Division of AIDS . Division of AIDS (DAIDS) Table for Grading the Severity of Adult and Pediatric Adverse Events, Version 2.0. [November 2014]. Available from: https://rsc.niaid.nih.gov/sites/default/files/daids-ae-grading-table-v2-nov2014.pdfpdf
- 32. Gaida R, Davids AS, Sewpaul R. Adverse event reporting practices in drug‐resistant tuberculosis facilities across South Africa. South Afr J Infect Dis. 2023;38(1):564. doi: 10.4102/sajid.v38i1.564 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Lin C‐J, Lin C‐B, Chien S‐T, et al. Active drug‐safety monitoring and management in the treatment of rifampicin‐resistant tuberculosis: a nationwide multicenter prospective study. J Microbiol Immunol Infect. 2025;58(6):735‐742. doi: 10.1016/j.jmii.2025.07.013 [DOI] [PubMed] [Google Scholar]
- 34. Lirasan MRA, Adamson MHB, Cruz VG, et al. Understanding underreporting of adverse drug reactions in the Philippines: a mixed methods study. Drugs‐Real World Outcomes. 2025;12(3):367‐381. doi: 10.1007/s40801-025-00492-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Hazell L, Shakir SA. Under‐reporting of adverse drug reactions. Drug Saf. 2006;29(5):385‐396. doi: 10.2165/00002018-200629050-00003 [DOI] [PubMed] [Google Scholar]
- 36. Lopez‐Gonzalez E, Herdeiro MT, Figueiras A. Determinants of under‐reporting of adverse drug reactions: a systematic review. Drug Saf. 2009;32(1):19‐31. doi: 10.2165/00002018-200932010-00002 [DOI] [PubMed] [Google Scholar]
- 37. World Health Organization . Global TB Rep 2025 2025.
- 38. Oh AL, Makmor‐Bakry M, Islahudin F, Wong IC. Prevalence and predictive factors of tuberculosis treatment interruption in the Asia region: a systematic review and meta‐analysis. BMJ Glob Health. 2023;8(1):e010592. doi: 10.1136/bmjgh-2022-010592 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Eurosurveillance editorial team . World Health Organization publishes an implementation framework on active tuberculosis drug‐safety monitoring and management (ADSM). Euro Surveill. 2016;21(12):30172. [DOI] [PubMed] [Google Scholar]
- 40. World Health Organization . Active tuberculosis drug‐safety monitoring and management (aDSM). Framework for implementation. WHO; 2015. [Google Scholar]
- 41. Singh K, Carvalho A, Centis R, et al. Clinical standards for the management of adverse effects during treatment for TB. Int J Tuberc Lung Dis. 2023;27(7):506‐519. doi: 10.5588/ijtld.23.0078 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Duko B, Bedaso A, Ayano G. The prevalence of depression among patients with tuberculosis: a systematic review and meta‐analysis. Ann Gen Psychiatry. 2020;19(1):30. doi: 10.1186/s12991-020-00281-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Thampy P, Rupani A, Chullithala A, Pawar N. Prevalence of depression among drug‐resistant tuberculosis patients in South Asia: a systematic review and meta‐analysis. Indian J Psychiatry. 2024;66(10):875‐886. doi: 10.4103/indianjpsychiatry.indianjpsychiatry_237_24 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Susanto T, Widysanto A, Cipta D, et al. Anxiety and depression level of patients with multidrug‐resistant tuberculosis (MDR‐TB) in two hospitals in Banten province, Indonesia. Dial Health. 2023;2(January):100115. doi: 10.1016/j.dialog.2023.100115 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Dan‐Ni Z, Guang‐Min Z, Yu‐Hua D, et al. Prevalence and risk factors of anxiety and depression in patients with multi‐drug/rifampicin‐resistant tuberculosis. Front Public Health. 2024;12:1372389. doi: 10.3389/fpubh.2024.1372389 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Huque R, Elsey H, Fieroze F, et al. “Death is a better option than being treated like this”: a prevalence survey and qualitative study of depression among multi‐drug resistant tuberculosis in‐patients. BMC Public Health. 2020;20(1):848. doi: 10.1186/s12889-020-08986-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Akalu TY, Clements ACA, Wolde HF, Alene KA. Prevalence of long‐term physical sequelae among patients treated with multi‐drug and extensively drug‐resistant tuberculosis: a systematic review and meta‐analysis. EClinicalMedicine. 2023;57:101900. doi: 10.1016/j.eclinm.2023.101900 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. World Health Organization . WHO announces landmark changes in treatment of drug‐resistant tuberculosis [press release]. 2022.
- 49. Michalik M, Lorenc T, Marcinkowski K, et al. Advances and prospects for treatment strategies of drug‐resistant tuberculosis: a review. GMS Hyg Infect Control. 2025;20:Doc33. doi: 10.3205/dgkh000562 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Griffin FA, Resar RK. IHI global trigger tool for measuring adverse events. Institute for Healthcare Improvement; 2019. Available at ihi.org [Google Scholar]
- 51. Nyaulingo BC, Mhimbira FA. Facilitators and barriers in implementation of active TB drug safety monitoring and management (aDSM) in programmatic management of drug resistance TB in Dar Es Salaam region. PLoS ONE. 2023;18(9):e0291225. doi: 10.1371/journal.pone.0291225 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Borisov S, Danila E, Maryandyshev A, et al. Surveillance of adverse events in the treatment of drug‐resistant tuberculosis: first global report. Eur Respir J. 2019;54(6):1901522. doi: 10.1183/13993003.01522-2019 [DOI] [PubMed] [Google Scholar]
- 53. Alexander SPH, Kelly E, Mathie AA, et al. The concise guide to PHARMACOLOGY 2023/24: introduction and other protein targets. Br J Clin Pharmacol. 2023;180(Suppl 2):S1‐S22. doi: 10.1111/bph.70229 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Alexander SP, Mathie AA, Peters JA, et al. The concise guide to PHARMACOLOGY 2023/24: ion channels. Br J Clin Pharmacol. 2023;180(S2):S145‐S222. doi: 10.1111/bph.16178 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data S1. Search strategy and keywords used for each database.
Data S2. Risk of bias assessment results.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
