Evidence map›Paper›PMID 41062141›Full record

ArticleBMJ open2025

Prophylactic biological mesh reinforcement during ileostomy closure surgery evaluated by the image-based deep learning model for the prevention of stoma-site incisional hernia: phase II study protocol for a single-centre, prospective, randomised controlled clinical trial.

Zihang Liu, Zhongyi Dong, Yeqian Zhang, Yujing Guan, Long Bai, Jiayi Gu, Bo Ni, Hao-Yu Zhang, Muerzhate Aimaiti, Shuchang Wang and 3 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

13 authors.

Zihang LiuDepartment of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China.
Zhongyi DongDepartment of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yeqian ZhangDepartment of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yujing GuanDepartment of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Long BaiDepartment of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0009-0008-6178-2989
Jiayi GuDepartment of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China.
Bo NiDepartment of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China.
Hao-Yu ZhangDepartment of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China.
Muerzhate AimaitiDepartment of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shuchang WangDepartment of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China.
Ben YueDepartment of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China.
Xiang XiaDepartment of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China zhangzizhen@renji.com xiangmoumou@163.com.
Zizhen ZhangDepartment of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China zhangzizhen@renji.com xiangmoumou@163.com.ORCID http://orcid.org/0000-0002-4572-5289

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProphylactic ileostomy plays a critical role in the radical resection of low rectal cancer, but the incidence of stoma site incisional hernia (SSIH) after stoma closure remains high. No study has been reported in which radiomics has been used to predict SSIH. The primary aim of this study is to evaluate the safety and efficacy of biological mesh in preventing incisional hernia in patients with high-risk incisional hernia factors, as identified by image-based deep learning model, undergoing ileostomy closure surgery. METHODS AND ANALYSIS: 40 patients who need to undergo ileostomy closure and have been identified with high risk factors for SSIH by image-based deep learning model will be selected for this study. Patients will be randomly assigned equally to the prophylactic biological mesh placement group and the control group, and outcomes will be tracked via clinic review at 1 month, 3 months, 6 months and 12 months postoperatively. The outcome measures are the rate of postoperative incisional hernia, local pain, incisional infection, seroma and so on. This study demonstrates that prophylactic placement of biological mesh with ileostomy closure reduces the incidence of SSIH. Furthermore, it validates the feasibility of image-based deep learning models in predicting postoperative complications and identifying high-risk SSIH patients. ETHICS AND DISSEMINATION: Informed consent has been obtained from all subjects. This protocol has been approved by the Ethics Committee of Renji Hospital, Shanghai Jiao Tong University School of Medicine (KY2022-087-B). The findings will be disseminated through peer-reviewed manuscripts, reports and presentations. TRIAL REGISTRATION NUMBER: ChiCTR2200064995. Registration date: October 2022. Registration authority: Chinese Clinical Trial Registry.

Indexed as

Deep LearningIleostomyIncisional HerniaSurgical MeshAdultClinical Trials, Phase II as TopicFemaleHumansMaleMiddle AgedPostoperative ComplicationsProspective StudiesRandomized Controlled Trials as TopicAnus NeoplasmsClinical TrialGASTROENTEROLOGYMachine LearningPREVENTIVE MEDICINERandomized Controlled Trial

Identifiers

PMID41062141
PMCPMC12506233

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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 OpenQuestion graph.