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Record W4408343925 · doi:10.1007/s44337-025-00265-1

Bidirectional association between asthma and inflammatory bowel disease: a systematic review and meta-analysis

2025· review· en· W4408343925 on OpenAlexaboutno aff
Yuyue Jiang, Xuqing Huang, Yan Wang, Changqing Xu, Xi Wang, Yuezhong Shen

Bibliographic record

VenueDiscover Medicine · 2025
Typereview
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsnot available
Fundersnot available
KeywordsInflammatory bowel diseaseMeta-analysisAsthmaMedicineAssociation (psychology)Systematic reviewDiseaseInternal medicineMEDLINEPsychologyBiology

Abstract

fetched live from OpenAlex

This meta-analysis aims to systematically review and summarize epidemiological evidence regarding the bidirectional association between asthma and IBD. We performed a meta-analysis using data from PubMed, Embase, and the Cochrane Library, with searches conducted up to September 3, 2024. Observational studies examining the association between asthma and IBD were included. The risk of bias was assessed using the Newcastle–Ottawa Quality Assessment Scale (NOS). Pooled OR with 95% CI were calculated using a random-effects model. Our analysis included 20 studies with 14,976,781 participants. The risk of IBD among asthma patients was found to be elevated (OR = 1.33, 95% CI 1.19–1.48). Conversely, IBD patients had a higher risk of developing asthma (OR = 1.32, 95% CI 1.12–1.55). Subgroup analysis revealed that asthma was associated with an increased risk of Crohn’s disease (CD) (OR = 1.32, 95% CI 1.12–1.55), but not ulcerative colitis (UC) (P = 0.099). The risk of asthma was higher in patients with CD (OR = 1.25, 95% CI 1.01–1.54) and UC (OR = 1.49, 95% CI 1.20–1.53). This meta-analysis identifies a bidirectional association between asthma and IBD, highlighting a significantly increased risk for both conditions. Clinicians should be aware of this relationship to better manage and monitor patients with either disease. Trial registration Registration number CRD42024586171

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.725
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0090.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.343
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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