Evidence map›Paper›PMID 41035873›Full record

ReviewFrontiers in medicine2025

Symptom clusters in inflammatory bowel disease: a scoping review.

Keying Xu, Mengjiao Li, Ping Jiang

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2025. 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. Review
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

3 authors.

Keying XuGraduate School, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Mengjiao LiGraduate School, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Ping JiangGraduate School, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inflammatory bowel disease (IBD) is a chronic relapsing gastrointestinal disorder with a high symptom burden. Patients often report multiple concurrent symptoms, yet most studies have examined them individually. Symptom clusters-defined as groups of co-occurring and interrelated symptoms-provide a framework for understanding this complexity. Evidence on IBD-specific clusters, however, remains fragmented and inconsistent. Methods: We conducted a scoping review following Arksey and O'Malley's framework to synthesize findings on IBD symptom cluster types, assessment instruments, associated factors, and dynamic trajectories. Searches covered database inception through 31 October 2024. Results: Thirteen studies were included, identifying 29 symptom clusters. Marked heterogeneity and overlap were observed. To integrate findings, clusters were categorized into five groups: gastrointestinal/physical, psychological, systemic/fatigue, nutritional/appetite-related, and mixed/trajectory-related. Assessment instruments varied considerably, most lacking IBD-specific validation. Reported associated factors included demographic, clinical, and treatment variables, but results were inconsistent. Few studies addressed longitudinal changes or interactions among clusters. Conclusion: Research on IBD symptom clusters remains limited and heterogeneous. Standardized definitions and validated tools are urgently needed. Most existing studies did not stratify findings by disease subtype, although limited evidence indicates that UC and CD appear to exhibit distinct clustering patterns. Future studies should adopt longitudinal and biomarker-informed designs, and examine interactions among clusters, to improve clinical management and patient outcomes.

Indexed as

assessment toolinflammatory bowel diseasescoping reviewsymptom clustersymptom distress

Identifiers

PMID41035873
PMCPMC12479402

What OpenQuestion holds

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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.