Evidence map›Paper›PMID 41305839›Full record

ArticleMedicine2025

Predictive model for colorectal cancer stoma prolapse based on clinical characteristics: Construction path and validation system.

Fei An, Lin Gui, Yuting Li, Minjing Cheng

Abstract readValidation Study
In one paragraph

Article in Medicine, 2025. 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

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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

4 authors.

Fei AnDepartment of Gastrointestinal Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China.ORCID 0009-0003-0458-1594
Lin Gui
Yuting Li
Minjing Cheng

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In clinical practice, it is not possible to identify people at high risk of stoma prolapse during the perioperative and early postoperative periods and to implement preventive strategies based on the clinical characteristics of individual patients. This study investigates the risk factors for the development of stoma prolapse and to develop relevant predictive models. A total of 270 patients were collected in this study out of which 62 patients had stoma prolapse; the patients enrolled in this study were randomly divided into a training set and a validation set according to a ratio of 7:3, with 189 patients in the training set and 81 patients in the validation set. Information about the patients' past medical history and hospitalization period was collected separately to study the correlates affecting the emergence of stoma prolapse in the patients and to establish a prediction model. Possibly relevant factors were included in a one-way logistic regression, and after analyzing the results: age, elevated intra-abdominal pressure, type of stoma, and hypoproteinemia were potential risk factors for the development of stoma prolapse during the 6-month postoperative period in patients who had undergone colorectal cancer stoma, P < .2; The data obtained were further included in a multifactorial review: age, elevated intra-abdominal pressure, type of stoma and hypo-proteinaemia were independent risk factors for stoma prolapse in patients with colorectal cancer stoma within 6 months after surgery, P < .05. This model provides clinicians with a powerful tool for early identification of patients at high risk of postoperative stoma prolapse. It helps to take targeted preventive and interventional measures before the onset of the disease.

Indexed as

Colorectal NeoplasmsPostoperative ComplicationsSurgical StomasAgedAge FactorsFemaleHumansLogistic ModelsMaleMiddle AgedProlapseRisk AssessmentRisk Factorscolorectal cancerintra-abdominal pressurepredictive modelstoma prolapsetype of stoma

Identifiers

PMID41305839
PMCPMC12643583

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.