ReviewNew microbes and new infections2024
Risk of tuberculosis disease in patients receiving TNF-α antagonist therapy: A meta-analysis of randomized controlled trials.
Review in New microbes and new infections, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Rapid and accessible tumor necrosis factor alpha detection using digital nanoparticle sensors towards point-of-care cytokine monitoring.Sensors and actuators. B, Chemical · 2026Article
- HowVaccines · 2026Review
- A 70-Year-Old Woman Receiving Immunosuppressive Therapy Presenting With Iliopsoas Abscess, Pulmonary Miliary Tuberculosis, and Secondary Hemophagocytic Lymphohistiocytosis.The American journal of case reports · 2026Article
- Immunotherapy for tuberculosis: emerging modalities, cross-disciplinary innovations, and roadmaps for drug-resistant disease.Frontiers in immunology · 2026Review
- Observational
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Tuberculosis (TB) risk associated with tumor necrosis factor-alpha (TNF-α) antagonist therapy in patients with autoimmune diseases is a significant concern. This study aims to evaluate the risk of TB disease associated with TNF-α antagonist therapy. Methods: An extensive search of PubMed/MEDLINE, EMBASE, and the Cochrane CENTRAL databases was conducted to identify randomized controlled trials (RCTs) assessing TB disease risk in patients receiving TNF-α antagonist therapy available until November 1, 2024. The pooled statistic used was the weighted odds ratio (OR) and a corresponding 95 % confidence interval (CI). Statistical analysis was performed using Comprehensive Meta-Analysis software, version 3.0 (Biostat Inc., Englewood, NJ, USA). Results: Fifty-six RCTs, totaling 22,212 adult patients, met the specified eligibility criteria. Pooled analysis revealed an increased risk of TB disease associated with TNF-α antagonist therapy (OR 1.52, 95 % CI 1.03-2.26, p = 0.03). Subgroup analyses indicated a higher risk in patients with rheumatoid arthritis (RA) (OR 2.25, 95 % CI 1.13-4.45, p = 0.02), while no significant associations were found in patients with ankylosing spondylitis (AS) or psoriasis (Ps). Analyses by specific TNF-α antagonist drugs did not yield significant associations with risk of TB disease. Conclusion: Our study highlights an increased risk of TB disease associated with TNF-α antagonist therapy, particularly in patients with RA. However, the absence of significant associations in AS or Ps patients suggests disease-specific variations in risk of TB disease. Further research is needed to elucidate the long-term safety profile of TNF-α antagonist drugs and their associations with risk of TB disease in different patient populations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.