Evidence map›Paper›PMID 41047272›Full record

SynthesisBMJ open2025

Comparative efficacy and safety of high-dose rifamycin regimens for tuberculosis treatment: a Bayesian network meta-analysis.

Zhen Feng, Hailan Wu, Qian Li, Xiaoqiang Zhang, Qingfeng He, Hangxing Wang, Jianping Yu, Shijia Ge, Lingyun Song, Yilin Zhang and 5 more

Abstract readComparative StudyNetwork Meta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Zhen Feng *Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-3096-413X
Hailan Wu *Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.
Qian Li *Department of Tuberculosis Internal Medicine II, Hunan Province Chest Hospital, Changsha, China.
Xiaoqiang Zhang *Department of Infectious Disease, The First People's Hospital of Linping District, Hangzhou, Zhejiang, China.
Qingfeng He *Department of Clinical Pharmacy & Pharmacy Administration, School of Pharmacy, Fudan University, Shanghai, China.
Hangxing WangDivision of Infectious Diseases, Department of Internal Medicine, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jianping YuDepartment of Infectious Disease, The First People's Hospital of Linping District, Hangzhou, Zhejiang, China.
Shijia GeDepartment of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Lingyun SongDepartment of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Yilin ZhangDepartment of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Xian ZhouDepartment of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Feng SunDepartment of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Jing ZhangInstitute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.
Yang LiDepartment of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China y_li11@fudan.edu.cn.
Wenhong ZhangDepartment of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHigh-dose rifamycin (HDR) regimens have demonstrated significant potential in tuberculosis (TB) treatment. This study aims to evaluate the efficacy and safety profile of different HDR regimens.

designUsing a systematic review and Bayesian network meta-analysis (NMA). DATA SOURCES: PubMed, Web of Science, Cochrane Library and Embase were searched up to 2 November 2024. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Randomised controlled trials that compared the efficacy and safety of HDR regimens (rifampin 15-30 mg/kg/day and rifapentine 7.5-20 mg/kg/day) to standard-dose rifampin in patients with pulmonary drug-susceptible TB were included. DATA EXTRACTION AND SYNTHESIS: The risk of bias was assessed using Cochrane tools. We conducted NMA with GEMTC in R. The simulation was performed using the Markov Chain Monte Carlo technique set on four parallel chains, with 20 000 burn-in iterations, 50 000 inference iterations and a thinning factor of n=2.5. To check for model convergence, Gelman and Rubin diagnostic plots and density plots were applied. We assessed heterogeneity using the I² test, evaluated transitivity by comparing effect modifiers across studies and examined consistency via node-splitting analysis. The confidence in network meta-analysis online tool and Cochrane Risk of Bias 2.0 Tool were used to assess evidence certainty and risk of bias, respectively. Higher surface area under the cumulative rank curve scores indicated a higher probability of top-ranking treatments.

resultsOut of 15 766 citations screened, 15 randomised controlled trials were included, encompassing 6456 subjects. The risk of bias was low in 14 studies, with some concerns in one. Patients receiving rifapentine 20 mg/kg/day (risk ratio, 1.09; 95% credible interval, 1.03 to 1.17) had higher culture conversion rates at 8 weeks in solid culture compared with the control. There was no significant difference in primary efficacy within all HDR regimens. Rifapentine 20 mg/kg/day was ranked as the most effective intervention for primary efficacy. No statistical difference in the incidence of serious adverse events was found between all regimens.

conclusionsRifapentine 20 mg/kg/day may be the most effective for achieving the strongest anti-TB activity. All HDR regimens demonstrated good safety. PROSPERO REGISTRATION NUMBER: CRD42024504575.

Indexed as

Antibiotics, AntitubercularAntitubercular AgentsRifampinRifamycinsTuberculosisTuberculosis, PulmonaryBayes TheoremDose-Response Relationship, DrugHumansRandomized Controlled Trials as TopicTreatment OutcomeAntibiotics, AntitubercularAntitubercular AgentsRifampinRifamycinsrifapentineCHEMOTHERAPYNetwork Meta-AnalysisTuberculosis

Identifiers

PMID41047272
PMCPMC12506051

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.