Multivariate regression analysis for perforation and bleeding.

Multivariate regression analysis for perforation and bleeding.

<p>Multivariate regression analysis for perforation and bleeding.</p>

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Bibliographic Details
Main Author:	Zhaohui Liu (189380) (author)
Other Authors:	Hualin Li (438300) (author), Jiwen Deng (16974780) (author), Ruinuan Wu (9194123) (author)
Published:	2025
Subjects:	Medicine Cell Biology Biotechnology Cancer Infectious Diseases Chemical Sciences not elsewhere classified general clinical characteristics effective removal method 82 &# 8201 15 &# 8201 10 &# 8201 multivariate regression analysis endoscopic submucosal excavation xlink "> samples 92 %) tumours 45 %) tumours 16 %) tumours intraluminal growth pattern 77 &# 8201 removed via ese 33 %) males independent risk factor xlink "> ese risk factors responsible mean resection time mean operation time 55 %) tumours perforation ?</ p xlink "> resection time operation time growth pattern risk factor risk factors successfully removed logistic regression endoscopic suture observed factors 89 %) 11 %) mean size successfully managed successful haemostasis perforation increases pathological diagnosis pathologic diagnosis minor bleeding mean age june 2023 intraoperative bleeding gastric fundus gastric body august 2024 84 years 001 ).
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Summary:	<p>Multivariate regression analysis for perforation and bleeding.</p>

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