Evidence map›Paper›PMID 40949375›Full record

ArticleWorld journal of gastrointestinal surgery2025

Risk factors and clinical prediction models for short-term recurrence after endoscopic surgery in patients with colorectal polyps.

Meng Zhang, Rui Yin, Jie Ying, Guan-Qi Liu, Ping Wang, Jian-Xin Ge

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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. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Meng ZhangDepartment of Gastroenterology, Nanjing Jiangbei Hospital, Nanjing 210048, Jiangsu Province, China.
Rui YinDepartment of Gastroenterology, Nanjing Jiangbei Hospital, Nanjing 210048, Jiangsu Province, China.
Jie YingDepartment of Gastroenterology, Nanjing Jiangbei Hospital, Nanjing 210048, Jiangsu Province, China.
Guan-Qi LiuDepartment of Gastroenterology, Nanjing Jiangbei Hospital, Nanjing 210048, Jiangsu Province, China.
Ping WangDepartment of Gastroenterology, Nanjing Jiangbei Hospital, Nanjing 210048, Jiangsu Province, China.
Jian-Xin GeDepartment of Gastroenterology, Nanjing Jiangbei Hospital, Nanjing 210048, Jiangsu Province, China. doc_gejianxin@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal polyps (CPs) are important precursor lesions of colorectal cancer, and endoscopic surgery remains the primary treatment option. However, the short-term recurrence rate post-surgery is high, and the risk factors for recurrence remain unknown.

aimTo comprehensively explore risk factors for short-term recurrence of CPs after endoscopic surgery and develop a nomogram prediction model.

methodsOverall, 362 patients who underwent endoscopic polypectomy between January 2022 and January 2024 at Nanjing Jiangbei Hospital were included. We screened basic demographic data, clinical and polyp characteristics, surgery-related information, and independent risk factors for CPs recurrence using univariate and multivariate logistic regression analyses. The multivariate analysis results were used to construct a nomogram prediction model, internally validated using Bootstrapping, with performance evaluated using area under the curve (AUC), calibration curve, and decision curve analysis.

resultsCP re-occurred in 166 (45.86%) of the 362 patients within 1 year post-surgery. Multivariate logistic regression analysis showed that age (OR = 1.04,

conclusionWe identified multiple independent risk factors for short-term recurrence after endoscopic surgery. The nomogram prediction model showed a certain degree of differentiation, calibration, and potential clinical applicability.

Indexed as

Colorectal polypsEndoscopic surgeryPrediction modelsRecurrenceRisk factorsShort-term

Identifiers

PMID40949375
PMCPMC12427009

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