ArticleHeliyon2023
Analysis of prevalence of adverse events connected with anti-tuberculosis drugs during pregnancy: A meta-analysis.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Pharmacokinetics and Safety of Clofazimine in Women With Rifampicin-resistant Tuberculosis During Pregnancy and the Postpartum Period: Results From IMPAACT P1026s.The Journal of infectious diseases · 2026Observational
- Tuberculosis in Pregnant Women After COVID-19: Features of Prevention, Diagnosis, and Treatment (Narrative Review).Journal of clinical medicine · 2025Review
- Adverse pregnancy outcomes and complications of tuberculosis in pregnant women.Frontiers in cellular and infection microbiology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Methods: We performed a systematic analysis to study the adverse events connected with anti-TB drugs usage during pregnancy. The risk of bias in the included studies was assessed using the Cochrane Collaboration criteria. Interstudy heterogeneity was assessed via Cochran's test. Assuming heterogeneity, a random-effects model was applied. Outcomes were pooled using the inverse variance method. Besides, a funnel plot was created to assess publication bias. We used Egger's linear regression test of funnel plot asymmetry, modified to accommodate inter-study heterogeneity. Effect estimates and confidence intervals for all studies were depicted on a forest plot. Results: The prevalence of total adverse events for all anti-TB drugs was 25.9 %. According to the drug category, the prevalence of total adverse events was 50 % for ethambutol, 32.6 % for the six-month directly observed treatment short-course (DOTS), 31.4 % for the nine-month DOTS, and 13.7 % for isoniazid. Conclusions: There is a high rate of reported adverse events associated with anti-TB drugs usage during pregnancy. We concluded that more high-quality clinical studies and research works are needed to reach a conclusive decision on the safety of the treatment of TB among pregnant women.
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Registered trials
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