Building a risk prediction model for anastomotic leakage postoperative low rectal cancer based on Lasso-Logistic regression

Gender, NRS2002 rating, diverting ostomy, distance from tumor to anal margin, and operation time are all influencing factors of postoperative AL in low rectal cancer. The nomogram prediction model based on Lasso-Logistic regression has high consistency, discrimination and clinical application value.

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Publication Details

Journal
BMC Gastroenterology
Published
2025-07-30
DOI
https://doi.org/10.1186/s12876-025-04128-y
Citations
1
Primary Topic
Colorectal Cancer Surgical Treatments
Type
article
Field-Weighted Citation Impact
1.05
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article

Building a risk prediction model for anastomotic leakage postoperative low rectal cancer based on Lasso-Logistic regression

Lin Lin, Zhenhao Quan, Kaiyu Sun, Feipeng Xu et al.
1 citations
BMC Gastroenterology
Colorectal Cancer Surgical Treatments
1.05
article

Building a risk prediction model for anastomotic leakage postoperative low rectal cancer based on Lasso-Logistic regression

Lin Lin, Zhenhao Quan, Kaiyu Sun, Feipeng Xu, Renwei Huang
article en
1 citations

Abstract

Gender, NRS2002 rating, diverting ostomy, distance from tumor to anal margin, and operation time are all influencing factors of postoperative AL in low rectal cancer. The nomogram prediction model based on Lasso-Logistic regression has high consistency, discrimination and clinical application value.

BMC GastroenterologyVol. 25(1)
Guangdong Medical College (CN)
Gender equality
Openalex Percentile: Top 19%
Colorectal Cancer Surgical Treatments
1.05
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