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Comparative efficacy and acceptability of five anti-tubercular drugs in treatment of multidrug resistant tuberculosis: a network meta-analysis

Overview of attention for article published in Journal of Clinical Bioinformatics, April 2015
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Title
Comparative efficacy and acceptability of five anti-tubercular drugs in treatment of multidrug resistant tuberculosis: a network meta-analysis
Published in
Journal of Clinical Bioinformatics, April 2015
DOI 10.1186/s13336-015-0020-x
Pubmed ID
Authors

Huaidong Wang, Xiaotian Zhang, Yuanxiang Bai, Zipeng Duan, Yan Lin, Guoqing Wang, Fan Li

Abstract

Multidrug resistant tuberculosis (MDR-TB) is a serious form of tuberculosis (TB). There is no recognized effective treatment for MDR-TB, although there are a number of publications that have reported positive results for MDR-TB. We performed a network meta-analysis to assess the efficacy and acceptability of potential antitubercular drugs. We conducted a network meta-analysis of randomized controlled clinical trials to compare the efficacy and acceptability of five antitubercular drugs, bedaquiline, delamanid, levofloxacin, metronidazole and moxifloxacin in the treatment of MDR-TB. We included eleven suitable trials from nine journal articles and six clinical trials from ClinicalTrials.gov, with data for 1472 participants. Bedaquiline (odds ratio [OR] 2.69, 95% CI 1.02-7.43), delamanid (OR 2.45, 95% CI 1.36-4.89) and moxifloxacin (OR 2.47, 95% CI 1.01, 7.31) were significantly more effective than placebo. For efficacy, the results indicated no statistical significance between each antitubercular drug. For acceptability, the results indicated no statistically significant difference between each compared intervention. There is insufficient evidence to suggest that any one of the five antitubercular drugs (bedaquiline, delamanid, levofloxacin, metronidazole and moxifloxacin) has superior efficacy compared to the others.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Russia 1 2%
Unknown 48 94%

Demographic breakdown

Readers by professional status Count As %
Other 9 18%
Researcher 7 14%
Student > Bachelor 7 14%
Student > Ph. D. Student 3 6%
Student > Postgraduate 3 6%
Other 7 14%
Unknown 15 29%
Readers by discipline Count As %
Medicine and Dentistry 23 45%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Agricultural and Biological Sciences 3 6%
Social Sciences 3 6%
Immunology and Microbiology 2 4%
Other 0 0%
Unknown 16 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 April 2015.
All research outputs
#18,407,102
of 22,800,560 outputs
Outputs from Journal of Clinical Bioinformatics
#43
of 60 outputs
Outputs of similar age
#192,642
of 264,516 outputs
Outputs of similar age from Journal of Clinical Bioinformatics
#2
of 2 outputs
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