Positive conversion of latent tuberculosis screening in patients with inflammatory bowel disease on antitumor necrosis factor alpha drugs: a systematic review and meta-analysis.

Eur J Gastroenterol HepatolMar 23, 2026 (epub)
Clinical ResearchGastroenterology

Helio Rzetelna, Paula Santo, Heitor Siffert Pereira de Souza et al.

✦ AI-curated · Sources linked

In 30 seconds

This systematic review and single-arm meta-analysis assessed positive conversion on latent tuberculosis (TB) screening among patients with inflammatory bowel disease (IBD) receiving anti-TNF therapy after a negative baseline screen. Across 13 studies from nine countries, including 1153 patients, the pooled positive conversion rate was 9.20%. Rates varied by country, and meta-regression found a significant positive association between conversion and TB incidence. The authors conclude that conversion occurs during treatment and that prevention strategies should be individualized according to geographic location and risk factors.

Key findings

  • Across 13 studies and 1153 patients, the overall positive conversion rate was 9.20%.
  • Country-specific rates were 18.01% in Portugal, 4.51% in Spain, and 1.11% in the USA.
  • Conversion was positively associated with TB incidence in meta-regression; subgroup differences were significant by country and consistency of screening test.

Why it matters

A positive screening result after a negative baseline test was observed in patients receiving anti-TNF therapy, with rates differing across settings. This highlights the relevance of local TB epidemiology and screening context when considering TB prevention in IBD patients on these drugs, while the pooled estimate does not establish an individual patient’s risk.

What to keep in mind

The analysis pooled single-arm studies, and conversion rates varied by country and by consistency of the screening test used, limiting the uniformity of the estimate.

Source

Published in Eur J Gastroenterol Hepatol. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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