Evidence map›Paper›PMID 40791979›Full record

ArticleTherapeutic advances in gastroenterology2025

Development and validation of a novel model based on clinical characteristics to predict natural disease course progression in patients with stricturing Crohn's disease.

Yu Wang, Xiaomin Wu, Weitong Gao, Xiaolong Chen, Haoyin Chen, Zishan Liu, Yao Zhang, Yubei Gu, Ren Mao

Abstract read
In one paragraph

Article in Therapeutic advances in gastroenterology, 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. 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

9 authors.

Yu WangDepartment of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-5224-3333
Xiaomin WuDepartment of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Weitong GaoDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaolong ChenZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Haoyin ChenZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Zishan LiuDepartment of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yao ZhangDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yubei GuDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai 200025, China.
Ren MaoDepartment of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou 510000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stricturing Crohn's disease (CD) is heterogeneous, and risk factors for natural disease course progression remain unclear. Objectives: The study aims to construct a predictive model based on commonly used clinical indicators to identify high-risk stricturing CD prone to natural disease course progression. Design: Retrospective multicenter study. Methods: We conducted a retrospective analysis of clinical data from stricturing CD patients. The natural disease course progression was defined as progression to penetrating disease or surgery. The data were split into a test cohort and an internal validation cohort in a 7:3 ratio. Classification models, including logistic regression (LR), random forest (RF), and extreme gradient Boosting (XGB) models, were constructed and validated in an independent external validation cohort. Results: The study included 341 patients, with 190 in the internal training cohort, 81 in the test cohort, and 70 in the external validation cohort. Obstructive symptoms, globulin (GLB), erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP) are independent predictors of natural disease course progression. LR, RF, and XGB models were developed to predict the occurrence of natural disease course progression within 2 years. In the internal test cohort, the areas under the receiver-operating characteristic curves of the LR, RF, and XGB models were 0.861, 0.492, and 0.559, respectively. In the external validation cohort, the LR model also achieved the highest area under the receiver operating characteristic curve value of 0.752. Conclusion: In patients with stricturing CD, obstructive symptoms score, CRP, ESR, and GLB were independent and validated predictors of natural disease course progression. A prognostic nomogram based on the LR model was developed to aid in evaluating the prognosis of stricturing CD patients.

Indexed as

Crohn’s diseasenatural disease course progressionprediction modelstricture

Identifiers

PMID40791979
PMCPMC12336107

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.