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Development and validation of a risk prediction model for post-polypectomy colorectal cancer in the USA: a prospective cohort study

BACKGROUND: Effective risk stratification tools for post-polypectomy colorectal cancer (PPCRC) are lacking. We aimed to develop an effective risk stratification tool for the prediction of PPCRC in three large population-based cohorts and to validate the tool in a clinical cohort. METHODS: Leveraging...

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Autores principales: Knudsen, Markus Dines, Wang, Kai, Wang, Liang, Polychronidis, Georgios, Berstad, Paula, Wu, Kana, He, Xiaosheng, Hang, Dong, Fang, Zhe, Ogino, Shuji, Chan, Andrew T., Giovannucci, Edward, Wang, Molin, Song, Mingyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432960/
https://www.ncbi.nlm.nih.gov/pubmed/37599907
http://dx.doi.org/10.1016/j.eclinm.2023.102139
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author Knudsen, Markus Dines
Wang, Kai
Wang, Liang
Polychronidis, Georgios
Berstad, Paula
Wu, Kana
He, Xiaosheng
Hang, Dong
Fang, Zhe
Ogino, Shuji
Chan, Andrew T.
Giovannucci, Edward
Wang, Molin
Song, Mingyang
author_facet Knudsen, Markus Dines
Wang, Kai
Wang, Liang
Polychronidis, Georgios
Berstad, Paula
Wu, Kana
He, Xiaosheng
Hang, Dong
Fang, Zhe
Ogino, Shuji
Chan, Andrew T.
Giovannucci, Edward
Wang, Molin
Song, Mingyang
author_sort Knudsen, Markus Dines
collection PubMed
description BACKGROUND: Effective risk stratification tools for post-polypectomy colorectal cancer (PPCRC) are lacking. We aimed to develop an effective risk stratification tool for the prediction of PPCRC in three large population-based cohorts and to validate the tool in a clinical cohort. METHODS: Leveraging the integrated endoscopic, histopathologic and epidemiologic data in three U.S population-based cohorts of health professional (the Nurses' Health Study (NHS) I, II and Health Professionals Follow-up Study (HPFS)), we developed a risk score to predict incident PPCRC among 26,741 patients with a polypectomy between 1986 and 2017. We validated the PPCRC score in the Mass General Brigham (MGB) Colonoscopy Cohort (Boston, Massachusetts, U.S) of 76,603 patients with a polypectomy between 2007 and 2018. In all four cohorts, we collected detailed data on patients’ demographics, endoscopic history, polyp features, and lifestyle factors at polypectomy. The outcome, incidence of PPCRC, was assessed by biennial follow-up questionnaires in the NHS/HPFS cohorts, and through linkage to the Massachusetts Cancer Registry in the MGB cohort. In all four cohorts, individuals who were diagnosed with CRC or died before baseline or within six months after baseline were excluded. We used Cox regression to calculate the hazard ratio (HR), 95% confidence interval (CI) and assessed the discrimination using C-statistics and reclassification using the Net Reclassification Improvement (NRI). FINDINGS: During a median follow-up of 12.8 years (interquartile range (IQR): 9.3, 16.7) and 5.1 years (IQR: 2.7, 7.8) in the NHS/HPFS and MGB cohorts, we documented 220 and 241 PPCRC cases, respectively. We identified a PPCRC risk score based on 11 predictors. In the validation cohort, the PPCRC risk score showed a strong association with PPCRC risk (HR for high vs. low, 3.55, 95% CI, 2.59–4.88) and demonstrated a C-statistic (95% CI) of 0.75 (0.70–0.79), and was discriminatory even within the low- and high-risk polyp groups (C-statistic, 0.73 and 0.71, respectively) defined by the current colonoscopy surveillance recommendations, leading to a NRI of 45% (95% CI, 36–54%) for patients with PPCRC. INTERPRETATION: We developed and validated a risk stratification model for PPCRC that may be useful to guide tailored colonoscopy surveillance. Further work is needed to determine the optimal surveillance interval and test the added value of other predictors of PPCRC beyond those included in the current study, along with implementation studies. FUNDING: 10.13039/100000002US National Institutes of Health, the 10.13039/100000048American Cancer Society, the South-Eastern Norway Regional Health Authority, the 10.13039/501100001659Deutsche Forschungsgemeinschaft.
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spelling pubmed-104329602023-08-18 Development and validation of a risk prediction model for post-polypectomy colorectal cancer in the USA: a prospective cohort study Knudsen, Markus Dines Wang, Kai Wang, Liang Polychronidis, Georgios Berstad, Paula Wu, Kana He, Xiaosheng Hang, Dong Fang, Zhe Ogino, Shuji Chan, Andrew T. Giovannucci, Edward Wang, Molin Song, Mingyang eClinicalMedicine Articles BACKGROUND: Effective risk stratification tools for post-polypectomy colorectal cancer (PPCRC) are lacking. We aimed to develop an effective risk stratification tool for the prediction of PPCRC in three large population-based cohorts and to validate the tool in a clinical cohort. METHODS: Leveraging the integrated endoscopic, histopathologic and epidemiologic data in three U.S population-based cohorts of health professional (the Nurses' Health Study (NHS) I, II and Health Professionals Follow-up Study (HPFS)), we developed a risk score to predict incident PPCRC among 26,741 patients with a polypectomy between 1986 and 2017. We validated the PPCRC score in the Mass General Brigham (MGB) Colonoscopy Cohort (Boston, Massachusetts, U.S) of 76,603 patients with a polypectomy between 2007 and 2018. In all four cohorts, we collected detailed data on patients’ demographics, endoscopic history, polyp features, and lifestyle factors at polypectomy. The outcome, incidence of PPCRC, was assessed by biennial follow-up questionnaires in the NHS/HPFS cohorts, and through linkage to the Massachusetts Cancer Registry in the MGB cohort. In all four cohorts, individuals who were diagnosed with CRC or died before baseline or within six months after baseline were excluded. We used Cox regression to calculate the hazard ratio (HR), 95% confidence interval (CI) and assessed the discrimination using C-statistics and reclassification using the Net Reclassification Improvement (NRI). FINDINGS: During a median follow-up of 12.8 years (interquartile range (IQR): 9.3, 16.7) and 5.1 years (IQR: 2.7, 7.8) in the NHS/HPFS and MGB cohorts, we documented 220 and 241 PPCRC cases, respectively. We identified a PPCRC risk score based on 11 predictors. In the validation cohort, the PPCRC risk score showed a strong association with PPCRC risk (HR for high vs. low, 3.55, 95% CI, 2.59–4.88) and demonstrated a C-statistic (95% CI) of 0.75 (0.70–0.79), and was discriminatory even within the low- and high-risk polyp groups (C-statistic, 0.73 and 0.71, respectively) defined by the current colonoscopy surveillance recommendations, leading to a NRI of 45% (95% CI, 36–54%) for patients with PPCRC. INTERPRETATION: We developed and validated a risk stratification model for PPCRC that may be useful to guide tailored colonoscopy surveillance. Further work is needed to determine the optimal surveillance interval and test the added value of other predictors of PPCRC beyond those included in the current study, along with implementation studies. FUNDING: 10.13039/100000002US National Institutes of Health, the 10.13039/100000048American Cancer Society, the South-Eastern Norway Regional Health Authority, the 10.13039/501100001659Deutsche Forschungsgemeinschaft. Elsevier 2023-08-10 /pmc/articles/PMC10432960/ /pubmed/37599907 http://dx.doi.org/10.1016/j.eclinm.2023.102139 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Knudsen, Markus Dines
Wang, Kai
Wang, Liang
Polychronidis, Georgios
Berstad, Paula
Wu, Kana
He, Xiaosheng
Hang, Dong
Fang, Zhe
Ogino, Shuji
Chan, Andrew T.
Giovannucci, Edward
Wang, Molin
Song, Mingyang
Development and validation of a risk prediction model for post-polypectomy colorectal cancer in the USA: a prospective cohort study
title Development and validation of a risk prediction model for post-polypectomy colorectal cancer in the USA: a prospective cohort study
title_full Development and validation of a risk prediction model for post-polypectomy colorectal cancer in the USA: a prospective cohort study
title_fullStr Development and validation of a risk prediction model for post-polypectomy colorectal cancer in the USA: a prospective cohort study
title_full_unstemmed Development and validation of a risk prediction model for post-polypectomy colorectal cancer in the USA: a prospective cohort study
title_short Development and validation of a risk prediction model for post-polypectomy colorectal cancer in the USA: a prospective cohort study
title_sort development and validation of a risk prediction model for post-polypectomy colorectal cancer in the usa: a prospective cohort study
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432960/
https://www.ncbi.nlm.nih.gov/pubmed/37599907
http://dx.doi.org/10.1016/j.eclinm.2023.102139
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