Evidence map›Paper›PMID 42907758›Full record

ArticleBMC gastroenterology2026

Risk factors and prediction model of renal dysfunction in patients with inflammatory bowel disease: a retrospective cohort study.

Yide Zhou, Kefang Sun, Xia Chen, Xian Shen, Junyin Chen, Liying Wang, Chunxiao Chen, Huogen Wang, Yidong Wan, Liping Yang and 1 more

Abstract read
In one paragraph

Article in BMC gastroenterology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Yide ZhouDepartment of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310003, China.ORCID http://orcid.org/0009-0000-7380-4024
Kefang SunInternal Medicine Residency Program, Rochester General Hospital, 1425 Portland Avenue, Rochester, New York, USA.ORCID http://orcid.org/0009-0006-7015-9190
Xia ChenDepartment of Gastroenterology, Wenling Hospital of Wenzhou Medical University (The First People's Hospital of Wenling), Wenling, Zhejiang, China.
Xian ShenDepartment of Gastroenterology, Haining People's Hospital, Haining, Zhejiang, China.ORCID http://orcid.org/0009-0008-6904-8607
Junyin ChenDepartment of Gastroenterology, Affiliated Hospital of Shaoxing University, Shaoxing, Zhejiang, China.
Liying WangDepartment of Gastroenterology, Shangyu People's Hospital of Shaoxing, Shangyu, Zhejiang, China.
Chunxiao ChenDepartment of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310003, China.ORCID http://orcid.org/0009-0004-3737-7829
Huogen WangZhejiang Herymed Technology Co., LTD, Hangzhou, China.ORCID http://orcid.org/0000-0002-3597-9269
Yidong WanZhejiang Herymed Technology Co., LTD, Hangzhou, China.ORCID http://orcid.org/0009-0009-5649-973X
Liping YangDepartment of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310003, China.
Lan LiDepartment of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310003, China. nalil@zju.edu.cn.ORCID http://orcid.org/0000-0001-8401-4001

Funding

"Pioneer" and "Leading Goose" R&D Program of Zhejiang No. 2025C02137
6 · The paper itself

Abstract

backgroundPrevious studies have identified the association between inflammatory bowel disease (IBD) and its renal complications, but specific risk factors and predictive models remain underexplored.

aimsTo identify the risk factors for renal dysfunction in IBD patients and to develop a clinical model for the early detection of high-risk individuals.

methodsThis retrospective cohort study enrolled 769 patients diagnosed with IBD from a tertiary hospital for model training and internal validation, and 298 patients from four other hospitals for external validation. A Cox regression model incorporating seven selected variables, identified through LASSO regression, was developed to determine independent risk factors, and its performance was subsequently validated in both internal and external cohorts.

resultsMultivariate analysis identified seven independent predictors of renal insufficiency [estimated glomerular filtration rate (eGFR) < 90 mL/min/1.73 m

conclusionsPredictors of renal dysfunction in IBD patients included osteoporosis, eGFR, HDL, CRP, biologic therapy, enteral nutrition, and intestinal surgery. Our predictive model can effectively identify IBD populations at high risk for renal dysfunction at an early stage.

Indexed as

Inflammatory Bowel DiseasesRenal InsufficiencyAdultC-Reactive ProteinFemaleGlomerular Filtration RateHumansMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk FactorsC-Reactive ProteinChronic kidney diseaseCrohn's diseaseInflammatory bowel diseasesRenal dysfunctionRisk factorsUlcerative colitis

Identifiers

PMID42907758
PMCPMC13689188

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.