Evidence map›Paper›PMID 40678655›Full record

ArticleFrontiers in public health2025

Risk factors for complications after infantile enterostomy: development of a clinical prediction model.

Zhaolan Zeng, Yanling Hu, Shulin Hou, Ru Yang, Zeyao Shi, Xiaowen Li

Abstract read
In one paragraph

Article in Frontiers in public health, 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

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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

6 authors.

Zhaolan ZengDepartment of Neonatology Nursing, West China Second University Hospital, Sichuan University, Chengdu, China.
Yanling HuDepartment of Neonatology Nursing, West China Second University Hospital, Sichuan University, Chengdu, China.
Shulin HouDepartment of Neonatology Nursing, West China Second University Hospital, Sichuan University, Chengdu, China.
Ru YangDepartment of Neonatology Nursing, West China Second University Hospital, Sichuan University, Chengdu, China.
Zeyao Shi *Department of Neonatology Nursing, West China Second University Hospital, Sichuan University, Chengdu, China.
Xiaowen Li *Department of Neonatology Nursing, West China Second University Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Enterostomy is a common surgical procedure for treating acute abdomen in infants. However, the associated complication incidence is high, which significantly impacts infants' recovery. This study aimed to identify risk factors of short-term complications and develop a prediction model in infants with enterostomy. Methods: We retrospectively analyzed the clinical data of infants who underwent enterostomy at Sichuan University West China Second Hospital from November 2021 to June 2024. Multifactorial logistic regression analysis was used to screen the risk factors for postoperative complications related to enterostomy in infants, and R software was applied to develop a nomogram prediction model. The accuracy and clinical utility of the prediction model were verified by the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA). Results: A total of 155 infants were included in this study, with 61 cases (39.35%) in the complication group and 94 cases (60.65%) in the non-complication group. Multifactorial logistic regression analysis showed that smaller weight at surgery (OR = 0.999, 95% CI: 0.999 ~ 1.000, Conclusion: The smaller weight at surgery, small intestine stoma, and longer duration of postoperative high-level CRP may be used to identify the risk of short-term complications after enterostomy. This prediction model is provided for medical staff to evaluate complication-associated risk and take measures for those infants at risk.

Indexed as

EnterostomyPostoperative ComplicationsChinaFemaleHumansInfantInfant, NewbornLogistic ModelsMaleNomogramsRetrospective StudiesRisk FactorsROC Curvecomplicationenterostomyinfantnomogram prediction modelrisk factor

Identifiers

PMID40678655
PMCPMC12267257

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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.