A clinical prediction nomogram to assess risk of colorectal cancer among patients with type 2 diabetes

Autor:	Tingting Su, Shuang Ren, Bixun Li, Wei-Yuan Wei, Cheng-En Deng, Lu-Huai Feng, Zhenhua Yang, Kunpeng Bu
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Adult Male 0301 basic medicine Oncology medicine.medical_specialty Colorectal cancer MEDLINE lcsh:Medicine Diseases Type 2 diabetes Logistic regression Article Body Mass Index 03 medical and health sciences 0302 clinical medicine Risk Factors Internal medicine Humans Hypoglycemic Agents Medicine In patient lcsh:Science Early Detection of Cancer Aged Retrospective Studies Cancer Aged 80 and over Multidisciplinary business.industry Incidence lcsh:R Gastroenterology Health care Middle Aged Nomogram medicine.disease Nomograms 030104 developmental biology Diabetes Mellitus Type 2 Decision curve analysis Colorectal cancer screening Female lcsh:Q Colorectal Neoplasms business 030217 neurology & neurosurgery
Zdroj:	Scientific Reports, Vol 10, Iss 1, Pp 1-8 (2020) Scientific Reports
ISSN:	2045-2322
DOI:	10.1038/s41598-020-71456-2
Popis:	Colorectal cancer remains a major health burden worldwide and is closely related to type 2 diabetes. This study aimed to develop and validate a colorectal cancer risk prediction model to identify high-risk individuals with type 2 diabetes. Records of 930 patients with type 2 diabetes were reviewed and data were collected from 1 November 2013 to 31 December 2019. Clinical and demographic parameters were analyzed using univariable and multivariable logistic regression analysis. The nomogram to assess the risk of colorectal cancer was constructed and validated by bootstrap resampling. Predictors in the prediction nomogram included age, sex, other blood-glucose-lowering drugs and thiazolidinediones. The nomogram demonstrated moderate discrimination in estimating the risk of colorectal cancer, with Hosmer–Lemeshow test P = 0.837, an unadjusted C-index of 0.713 (95% CI 0.670–0.757) and a bootstrap-corrected C index of 0.708. In addition, the decision curve analysis demonstrated that the nomogram would be clinically useful. We have developed a nomogram that can predict the risk of colorectal cancer in patients with type 2 diabetes. The nomogram showed favorable calibration and discrimination values, which may help clinicians in making recommendations about colorectal cancer screening for patients with type 2 diabetes.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23b9bb6925770bef9231ab3646aa1aa6 http://link.springer.com/article/10.1038/s41598-020-71456-2 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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