Evidence map›Paper›PMID 39544777›Full record

ArticleAmerican journal of translational research2024

Risk factor analysis and predictive model construction for postoperative bleeding in early esophageal cancer.

Lan Huang, Jiangtao Li, Yuanyuan Zheng, Renlong Lu, Lianying Yu

Abstract read
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Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lan HuangDepartment of Gastroenterology, Jiujiang City Key Laboratory of Cell Therapy, Jiujiang No. 1 People's Hospital Jiujiang 332000, Jiangxi, China.
Jiangtao LiDepartment of Gastroenterology, Jiujiang City Key Laboratory of Cell Therapy, Jiujiang No. 1 People's Hospital Jiujiang 332000, Jiangxi, China.
Yuanyuan ZhengDepartment of Science and Education, Jiujiang City Key Laboratory of Cell Therapy, Jiujiang No. 1 People's Hospital Jiujiang 332000, Jiangxi, China.
Renlong LuDepartment of Gastroenterology, Jiujiang City Key Laboratory of Cell Therapy, Jiujiang No. 1 People's Hospital Jiujiang 332000, Jiangxi, China.
Lianying YuDepartment of Gastroenterology, Jiujiang City Key Laboratory of Cell Therapy, Jiujiang No. 1 People's Hospital Jiujiang 332000, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA multivariate logistic regression model was developed to identify the risk factors for postoperative bleeding in patients undergoing endoscopic submucosal dissection (ESD) for early esophageal cancer.

methodsThe clinical data of 258 patients with early esophageal cancer who received ESD in Jiujiang Number One People's Hospital from April 2019 to March 2022 were retrospectively analyzed. Patients with or without postoperative bleeding were included into a bleeding group and a control group, respectively, and general information with statistically significant difference between the two groups was included in the multivariate logistic regression model to screen the risk factors for postoperative bleeding in the patients. The risk factors were then used to construct a nomogram prediction model for postoperative bleeding, and internal (training set) and external (validation set) validation was performed.

results(1) The incidence of post-ESD bleeding was 12.02% in the 258 patients with early esophageal cancer. (2) History of hypertension, lesion diameter, submucosal fibrosis, C-reactive protein (CRP), and albumin (ALB) were independent risk factors for postoperative bleeding after ESD in the patients (

conclusionHypertension history, lesion diameter, submucosal fibrosis, CRP, and ALB are risk factors for postoperative bleeding in patients with early esophageal cancer undergoing ESD. The nomograms established based on these factors has good predictive value for postoperative bleeding in these patients.

Indexed as

bleedingEarly esophageal cancerendoscopic submucosal sectionnomogramsrisk factors

Identifiers

PMID39544777
PMCPMC11558355

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