Evidence map›Paper›PMID 40708467›Full record

ArticleAnnals of medicine2025

Imbalance between skeletal muscle and intermuscular fat predicts treatment failure in Crohn's disease: an imaging biomarker for risk stratification.

Ziman Xiong, Yufan Wang, Yuchen Jiang, Yaqi Shen, Zhen Li

Abstract read
In one paragraph

Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ziman XiongDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Yufan WangDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Yuchen JiangDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Yaqi ShenDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.ORCID 0000-0003-0589-8975
Zhen LiDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenia is prevalent in Crohn's disease (CD) patients, but the prognostic value of skeletal muscle-to-intermuscular adipose tissue (IMAT) balance in penetrating CD remains unexplored.

objectiveTo determine whether skeletal muscle-IMAT imbalance predicts non-surgical treatment failure in CD.

methodsThis retrospective study included CD patients undergoing computed tomography enterography (CTE, 2013-2022), stratified by disease behavior (penetrating vs. non-penetrating). Automated CTE segmentation algorithm quantified skeletal muscle and IMAT volumes at baseline. Skeletal muscle ratio was calculated as skeletal muscle/(skeletal muscle + IMAT). Sarcopenia was defined by the skeletal muscle area at the third lumbar vertebra. Patients received ≥1 year of non-surgical therapy, with outcomes categorized as 'maintenance therapy' or 'treatment escalation'. Cox proportional hazards analysis identified predictors of escalation; mediation analysis evaluated inflammatory-nutritional pathways.

resultsAmong 157 patients (penetrating:

conclusionsSkeletal muscle-IMAT imbalance independently predicts treatment escalation in CD, offering superior prognostic utility to traditional sarcopenia measures.

Indexed as

Adipose TissueCrohn DiseaseMuscle, SkeletalRisk AdjustmentTomography, X-Ray ComputedAdultArea Under CurveBiomarkersFemaleFollow-Up StudiesHumansLumbar VertebraeMaleMediation AnalysisNutritional Physiological PhenomenaPredictive Value of TestsBiomarkerscomputed tomography enterographyCrohn’s diseaseintermuscular adipose tissueskeletal muscletreatment escalation

Identifiers

PMID40708467
PMCPMC12302469

What Socratic 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 Socratic graph.