Evidence map›Paper›PMID 37546551›Full record

ArticleWorld journal of gastrointestinal oncology2023

Development and validation of an online calculator to predict the pathological nature of colorectal tumors.

Ya-Dan Wang, Jing Wu, Bo-Yang Huang, Chun-Mei Guo, Cang-Hai Wang, Hui Su, Hong Liu, Miao-Miao Wang, Jing Wang, Li Li and 2 more

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Article in World journal of gastrointestinal oncology, 2023. 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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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Ya-Dan WangDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Jing WuDepartment of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Diseases, Beijing 100050, China.
Bo-Yang HuangDepartment of Gastroenterology, Beijing Shijitan Hospital, the Ninth Clinical Medicine Peking University, Beijing 100038, China.
Chun-Mei GuoDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Cang-Hai WangDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Hui SuDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Hong LiuDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Miao-Miao WangDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Jing WangDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China. wujing36youyi@ccmu.edu.cn.
Li LiDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Peng-Peng DingDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Ming-Ming MengDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNo single endoscopic feature can reliably predict the pathological nature of colorectal tumors (CRTs).

aimTo establish and validate a simple online calculator to predict the pathological nature of CRTs based on white-light endoscopy.

methodsThis was a single-center study. During the identification stage, 530 consecutive patients with CRTs were enrolled from January 2015 to December 2021 as the derivation group. Logistic regression analysis was performed. A novel online calculator to predict the pathological nature of CRTs based on white-light images was established and verified internally. During the validation stage, two series of 110 images obtained using white-light endoscopy were distributed to 10 endoscopists [five highly experienced endoscopists and five less experienced endoscopists (LEEs)] for external validation before and after systematic training.

resultsA total of 750 patients were included, with an average age of 63.6 ± 10.4 years. Early colorectal cancer (ECRC) was detected in 351 (46.8%) patients. Tumor size, left semicolon site, rectal site, acanthosis, depression and an uneven surface were independent risk factors for ECRC. The C-index of the ECRC calculator prediction model was 0.906 (

conclusionA novel online calculator including tumor size, location, acanthosis, depression, and uneven surface can accurately predict the pathological nature of ECRC.

Indexed as

Colorectal tumorsEarly colorectal cancerOnline calculatorPathological natureWhite-light endoscopy

Identifiers

PMID37546551
PMCPMC10401472

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