Evidence map›Paper›PMID 41357637›Full record

ArticleWorld journal of gastrointestinal surgery2025

Clinical value of predicting bleeding after endoscopic submucosal dissection for early esophageal cancer.

Sheng-Nan Liu, Zhuo Chen

Abstract read
In one paragraph

Article in World journal of gastrointestinal surgery, 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

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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

2 authors.

Sheng-Nan LiuDepartment of Gastroenterology, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, Jiangsu Province, China.
Zhuo ChenDepartment of Gastroenterology, The First People's Hospital of Xuzhou, Xuzhou Municipal Hospital Affiliated to Xuzhou Medical University, Xuzhou 221000, Jiangsu Province, China. winter_zhuo@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of esophageal cancer is high, and its prognosis is poor. Endoscopic submucosal dissection (ESD) is an important, minimally invasive treatment for early esophageal cancer, but the risk of postoperative bleeding affects its efficacy.

aimTo explore risk factors of bleeding after ESD and evaluate the predictive value of a gradient boosting machine (GBM) model for postoperative bleeding.

methodsThe clinical data of 178 early esophageal cancer patients who underwent ESD at the Affiliated Hospital of Xuzhou Medical University from October 2019 to October 2024 were analyzed retrospectively. Patients were divided into two groups (bleeding and non-bleeding). Univariate and multivariate logistic regression analyses identified risk factors for postoperative bleeding, leading to the construction of the GBM prediction model. The receiver operating characteristic (ROC) curve evaluated the predictive efficacy of the GBM model and bleeding after ESD trend from Japan (BEST-J) score.

resultsAmong 178 patients who received ESD treatment, 29 cases (16.29%) had bleeding, and 149 cases (83.71%) had no bleeding. The average BEST-J score and the proportion of high-risk and extremely high-risk patients were higher in the bleeding group than in the non-bleeding group (

conclusionThe GBM prediction model based on tumor size ≥ 3 cm, surgical bleeding, and high CRP levels is more effective than the BEST-J score at predicting bleeding after ESD.

Indexed as

Clinical predictive valueEarly esophageal cancerEndoscopic submucosal dissectionInfluencing factorsMinimal invasivenessPostoperative bleeding

Identifiers

PMID41357637
PMCPMC12678992

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