Evidence map›Paper›PMID 39429663›Full record

ReviewIranian journal of public health2024

The Relapse Rate of Inflammatory Bowel Disease (IBD) in Patients Who Discontinue Anti-TNF Therapy: A Systematic Review and Meta-Analysis.

Fatemeh Ebrahimi, Samaneh Torkian, Elahe Zare-Farashbandi, Babak Tamizifar

Abstract readReview
In one paragraph

Review in Iranian journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Fatemeh EbrahimiDepartment of Epidemiology & Biostatistics, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran.
Samaneh TorkianDepartment of Epidemiology, School of Health, Iran University of Medical Sciences, Tehran, Iran.
Elahe Zare-FarashbandiClinical Informationist Research Group, Health Information Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Babak TamizifarIsfahan Gastroenterology and Hepatology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inflammatory bowel disease (IBD) patients who cease anti-tumor necrosis factor (TNF) therapy are at risk of relapse, which is a matter of concern for the medical community. This study aimed to determine the relapse rate of IBD in patients who cease anti- TNF therapy. Methods: A systematic search of international databases (Medline, Web of Sciences, Scopus, and EMBASE) was conducted until Mar 9th, 2022. The random effects model was used to calculate the IBD relapse rate, accompanied by a 95% confidence interval. Results: The IBD relapse rate in patients who discontinued anti-TNF therapy was 44%. The pooled IBD-UC and IBD-CD relapse rate in patients who stopped anti-TNF therapy were 43% and 46%, respectively. The studies using infliximab (IFX) showed a pooled IBD relapse rate of 45%, and the IBD relapse rate in the IFX/ADA (Adalimumab) group was 42%. The IBD relapse rate for papers with treatment durations of less than or equal to 12 months was 51%, while for articles with treatment durations of more than 12 months, it was 30%. Conclusion: This study emphasizes the need for careful evaluation and monitoring of IBD patients who cease anti-TNF therapy, as well as further investigation of alternative treatments for those who exhibit intolerance or inadequate response to anti-TNF therapy.

Indexed as

Anti-TNFInflammatory bowel diseasesRelapseTreatment discontinuationTumor necrosis factor

Identifiers

PMID39429663
PMCPMC11490323

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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.