Evidence map›Paper›PMID 41356530›Full record

ArticleWorld journal of gastroenterology2025

Risk factors with nomogram construction for moderate to severe pain after endoscopic full-thickness resection.

Guo-Yao Sun, Teng-Jiao Gao, Yong Sun, Wen Jia, Zhuo Yang

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Article in World journal of gastroenterology, 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

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5 authors.

Guo-Yao SunDepartment of Endoscopy, General Hospital of Northern Theater Command, Shenyang 110000, Liaoning Province, China.
Teng-Jiao GaoDepartment of Endoscopy, General Hospital of Northern Theater Command, Shenyang 110000, Liaoning Province, China.
Yong SunDepartment of Endoscopy, General Hospital of Northern Theater Command, Shenyang 110000, Liaoning Province, China.
Wen JiaDepartment of Endoscopy, General Hospital of Northern Theater Command, Shenyang 110000, Liaoning Province, China.
Zhuo YangDepartment of Endoscopy, General Hospital of Northern Theater Command, Shenyang 110000, Liaoning Province, China. yangzhuocy@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndoscopic full-thickness resection (EFTR) is an effective treatment for gastrointestinal lesions. Compared with endoscopic submucosal dissection, EFTR is associated with a higher incidence of postoperative pain, particularly moderate to severe pain, which can significantly impact patients' quality of life and recovery. Although some studies have focused on postoperative analgesia, clinical evidence regarding the underlying mechanisms and risk factors of pain after EFTR - especially moderate to severe pain following upper gastrointestinal EFTR - remains limited.

aimTo identify risk factors for moderate to severe pain following EFTR and to construct a predictive nomogram for clinical use.

methodsWe conducted a retrospective analysis of patients who underwent EFTR at our center between October 1, 2019, and June 1, 2025. Univariate and multivariate logistic regression analyses were performed to identify risk factors associated with postoperative moderate to severe pain following EFTR. A nomogram was subsequently constructed based on a multivariate logistic regression model to predict the risk of moderate to severe pain following EFTR. The discrimination and calibration of the nomogram were evaluated by estimating the area under the receiver operator characteristic curve and by bootstrap resampling and visual inspection of the calibration curve. The clinical utility of the nomogram was assessed using decision curve analysis.

resultsA total of 172 patients who underwent EFTR were included in the study, of whom 27 (15.7%) experienced moderate to severe postoperative pain. Based on multivariate logistic regression analysis, higher body mass index was significantly associated with a reduced risk of moderate to severe postoperative pain [odds ratio (OR) = 0.83, 95% confidence interval (CI): 0.72-0.95,

conclusionIn this study, we successfully developed a predictive nomogram for identifying the risk of moderate to severe pain following EFTR surgery.

Indexed as

Endoscopic Mucosal ResectionGastrointestinal NeoplasmsNomogramsPostoperative PainAdultAgedFemaleHumansMaleMiddle AgedPain MeasurementQuality of LifeRetrospective StudiesRisk AssessmentRisk FactorsROC CurveEndoscopic full-thickness resectionGastrointestinal lesionsNomogramPostoperative painRisk factors

Identifiers

PMID41356530
PMCPMC12678939

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