The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Drug-associated adverse events in the treatment of multidrug-resistant tuberculosis: an individual patient data meta-analysis
Open accessAbstract
Summary Background Treatment of multidrug-resistant tuberculosis requires long-term therapy with a combination of multiple second-line drugs. These drugs are associated with numerous adverse events that can cause severe morbidity, such as deafness, and in some instances can lead to death. Our aim was to estimate the absolute and relative frequency of adverse events associated with different tuberculosis drugs to provide useful information for clinicians and tuberculosis programmes in selecting optimal treatment regimens. Methods We did a meta-analysis using individual-level patient data that were obtained from studies that reported adverse events that resulted in permanent discontinuation of anti-tuberculosis medications. We used a database created for our previous meta-analysis of multidrug-resistant tuberculosis treatment and outcomes, for which we did a systematic review of literature published between Jan 1, 2009, and Aug 31, 2015 (updated April 15, 2016), and requested individual patient-level information from authors. We also considered for this analysis studies contributing patient-level data in response to a public call made by WHO in 2018. Meta-analysis for proportions and arm-based network meta-analysis were done to estimate the incidence of adverse events for each tuberculosis drug. Findings 58 studies were identified, including 50 studies from the updated individual patient data meta-analysis for multidrug-resistant tuberculosis treatment. 35 of these studies, with 9178 patients, were included in our analysis. Using meta-analysis of proportions, drugs with low risks of adverse event occurrence leading to permanent discontinuation included levofloxacin (1·3% [95% CI 0·3–5·0]), moxifloxacin (2·9% [1·6–5·0]), bedaquiline (1·7% [0·7–4·2]), and clofazimine (1·6% [0·5–5·3]). Relatively high incidence of adverse events leading to permanent discontinuation was seen with three second-line injectable drugs (amikacin: 10·2% [6·3–16·0]; kanamycin: 7·5% [4·6–11·9]; capreomycin: 8·2% [6·3–10·7]), aminosalicylic acid (11·6% [7·1–18·3]), and linezolid (14·1% [9·9–19·6]). Risk of bias in selection of studies was judged to be low because there were no important differences between included and excluded studies. Variability between studies was significant for most outcomes analysed. Interpretation Fluoroquinolones, clofazimine, and bedaquiline had the lowest incidence of adverse events leading to permanent drug discontinuation, whereas second-line injectable drugs, aminosalicylic acid, and linezolid had the highest incidence. These results suggest that close monitoring of adverse events is important for patients being treated for multidrug-resistant tuberculosis. Our results also underscore the urgent need for safer and better-tolerated drugs to reduce morbidity from treatment itself for patients with multidrug-resistant tuberculosis. Funding Canadian Institutes of Health Research, Centers for Disease Control and Prevention (USA), American Thoracic Society, European Respiratory Society, and Infectious Diseases Society of America.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
Meta-analysis of individual participant data: rationale, conduct, and reporting
Riley, R. D., Lambert, P. C., & Abo-Zaid, G. (2010) · BMJ · doi:10.1136/bmj.c221 · Cited by 1,701
Yee, D., Valiquette, C., Pelletier, M., Parisien, I., Rocher, I., & Menzies, D. (2003) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200206-626oc · Cited by 840
Self-citationThe Diarylquinoline TMC207 for Multidrug-Resistant Tuberculosis
Diacon, A. H., Pym, A., Grobusch, M., Patientia, R., Rustomjee, R., Page-Shipp, L., Pistorius, C., Krause, R., Bogoshi, M., Churchyard, G., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0808427 · Cited by 835
Multidrug-Resistant Tuberculosis and Culture Conversion with Bedaquiline
Diacon, A. H., Pym, A., Grobusch, M. P., de los Rios, J. M., Gotuzzo, E., Vasilyeva, I., Leimane, V., Andries, K., Bakare, N., De Marez, T., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1313865 · Cited by 746
Ahmad, N., Ahuja, S. D., Akkerman, O. W., Alffenaar, J.-W. C., Anderson, L. F., Baghaei, P., Bang, D., Barry, P. M., Bastos, M. L., Behera, D., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31644-1 · Cited by 632
Self-citationLinezolid for Treatment of Chronic Extensively Drug-Resistant Tuberculosis
Lee, M., Lee, J., Carroll, M. W., Choi, H., Min, S., Song, T., Via, L. E., Goldfeder, L. C., Kang, E., Jin, B., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1201964 · Cited by 560
Ahuja, S. D., Ashkin, D., Avendano, M., Banerjee, R., Bauer, M., Bayona, J. N., Becerra, M. C., Benedetti, A., Burgos, M., Centis, R., et al. (2012) · PLoS Medicine · doi:10.1371/journal.pmed.1001300 · Cited by 535
Self-citationSotgiu, G., Centis, R., D'Ambrosio, L., Alffenaar, J.-W. C., Anger, H. A., Caminero, J. A., Castiglia, P., De Lorenzo, S., Ferrara, G., Koh, W.-J., et al. (2012) · European Respiratory Journal · doi:10.1183/09031936.00022912 · Cited by 416
Self-citationThe binomial distribution of meta-analysis was preferred to model within-study variability
Hamza, T. H., van Houwelingen, H. C., & Stijnen, T. (2008) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2007.03.016 · Cited by 385
Cited by
Mirzayev, F., Viney, K., Linh, N. N., Gonzalez-Angulo, L., Gegia, M., Jaramillo, E., Zignol, M., & Kasaeva, T. (2021) · European Respiratory Journal · doi:10.1183/13993003.03300-2020 · Cited by 301
Diagnosis and treatment of multidrug-resistant tuberculosis
Jang, J. G., & Chung, J. H. (2020) · Yeungnam University Journal of Medicine · doi:10.12701/yujm.2020.00626 · Cited by 140
Baliashvili, D., Blumberg, H. M., Gandhi, N. R., Averhoff, F., Benkeser, D., Shadaker, S., Gvinjilia, L., Turdziladze, A., Tukvadze, N., Chincharauli, M., et al. (2023) · PLOS Medicine · doi:10.1371/journal.pmed.1004121
Self-citation
Metadata
- Authors
- Lan, Z., Ahmad, N., Baghaei, P., Barkane, L., Benedetti, A., Brode, S. K., Brust, J. C. M., Campbell, J. R., Chang, V. W. L., Falzon, D., Guglielmetti, L., Isaakidis, P., Kempker, R. R., Kipiani, M., Kuksa, L., Lange, C., Laniado-Laborín, R., Nahid, P., Rodrigues, D., Singla, R., Udwadia, Z. F., Menzies, D., Ahmad, N., Baghaei, P., Barkane, L., Benedetti, A., Brode, S., Brust, J., Campbell, Jr., Chang, V., Falzon, D., Guglielmetti, L., Isaakidis, P., Kempker, R., Kipiani, M., Kuksa, L., Lan, Z., Lange, C., Laniado-Laborín, R., Nahid, P., Rodrigues, D., Singla, R., Udwadia, Z., & Menzies, D.
- Venue
- The Lancet Respiratory Medicine
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 8
- Issue
- 4
- Pages
- 383-394
- ISSN
- 2213-2600 (ISSN-L)
- OpenAlex
- W3010945518
- Cited by
- 268
- References
- 40
- FWCI
- 2.24
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Drug-associated adverse events in the treatment of multidrug-resistant tuberculosis: an individual patient data meta-analysis. https://app.cochat.ai/papers/10.1016/s2213-2600(20)30047-3
- The paper
- Lan, Z., Ahmad, N., Baghaei, P., Barkane, L., Benedetti, A., Brode, S. K., Brust, J. C. M., Campbell, J. R., Chang, V. W. L., Falzon, D., Guglielmetti, L., Isaakidis, P., Kempker, R. R., Kipiani, M., Kuksa, L., Lange, C., Laniado-Laborín, R., Nahid, P., Rodrigues, D., . . . Menzies, D. (2020). Drug-associated adverse events in the treatment of multidrug-resistant tuberculosis: an individual patient data meta-analysis. The Lancet Respiratory Medicine. https://doi.org/10.1016/s2213-2600(20)30047-3
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.