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The impact of the rising colorectal cancer incidence in young adults on the optimal age to start screening: Microsimulation analysis I to inform the American Cancer Society colorectal cancer screening guideline

BACKGROUND: In 2016, the Microsimulation Screening Analysis‐Colon (MISCAN‐Colon) model was used to inform the US Preventive Services Task Force colorectal cancer (CRC) screening guidelines. In this study, 1 of 2 microsimulation analyses to inform the update of the American Cancer Society CRC screeni...

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Autores principales: Peterse, Elisabeth F. P., Meester, Reinier G. S., Siegel, Rebecca L., Chen, Jennifer C., Dwyer, Andrea, Ahnen, Dennis J., Smith, Robert A., Zauber, Ann G., Lansdorp‐Vogelaar, Iris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6033623/
https://www.ncbi.nlm.nih.gov/pubmed/29846933
http://dx.doi.org/10.1002/cncr.31543
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author Peterse, Elisabeth F. P.
Meester, Reinier G. S.
Siegel, Rebecca L.
Chen, Jennifer C.
Dwyer, Andrea
Ahnen, Dennis J.
Smith, Robert A.
Zauber, Ann G.
Lansdorp‐Vogelaar, Iris
author_facet Peterse, Elisabeth F. P.
Meester, Reinier G. S.
Siegel, Rebecca L.
Chen, Jennifer C.
Dwyer, Andrea
Ahnen, Dennis J.
Smith, Robert A.
Zauber, Ann G.
Lansdorp‐Vogelaar, Iris
author_sort Peterse, Elisabeth F. P.
collection PubMed
description BACKGROUND: In 2016, the Microsimulation Screening Analysis‐Colon (MISCAN‐Colon) model was used to inform the US Preventive Services Task Force colorectal cancer (CRC) screening guidelines. In this study, 1 of 2 microsimulation analyses to inform the update of the American Cancer Society CRC screening guideline, the authors re‐evaluated the optimal screening strategies in light of the increase in CRC diagnosed in young adults. METHODS: The authors adjusted the MISCAN‐Colon model to reflect the higher CRC incidence in young adults, who were assumed to carry forward escalated disease risk as they age. Life‐years gained (LYG; benefit), the number of colonoscopies (COL; burden) and the ratios of incremental burden to benefit (efficiency ratio [ER] = ΔCOL/ΔLYG) were projected for different screening strategies. Strategies differed with respect to test modality, ages to start (40 years, 45 years, and 50 years) and ages to stop (75 years, 80 years, and 85 years) screening, and screening intervals (depending on screening modality). The authors then determined the model‐recommended strategies in a similar way as was done for the US Preventive Services Task Force, using ER thresholds in accordance with the previously accepted ER of 39. RESULTS: Because of the higher CRC incidence, model‐predicted LYG from screening increased compared with the previous analyses. Consequently, the balance of burden to benefit of screening improved and now 10‐yearly colonoscopy screening starting at age 45 years resulted in an ER of 32. Other recommended strategies included fecal immunochemical testing annually, flexible sigmoidoscopy screening every 5 years, and computed tomographic colonography every 5 years. CONCLUSIONS: This decision‐analysis suggests that in light of the increase in CRC incidence among young adults, screening may be offered earlier than has previously been recommended. Cancer 2018;124:2964‐73. © 2018 The Authors. Cancer published by Wiley Periodicals, Inc. on behalf of American Cancer Society.
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spelling pubmed-60336232018-07-30 The impact of the rising colorectal cancer incidence in young adults on the optimal age to start screening: Microsimulation analysis I to inform the American Cancer Society colorectal cancer screening guideline Peterse, Elisabeth F. P. Meester, Reinier G. S. Siegel, Rebecca L. Chen, Jennifer C. Dwyer, Andrea Ahnen, Dennis J. Smith, Robert A. Zauber, Ann G. Lansdorp‐Vogelaar, Iris Cancer Original Articles BACKGROUND: In 2016, the Microsimulation Screening Analysis‐Colon (MISCAN‐Colon) model was used to inform the US Preventive Services Task Force colorectal cancer (CRC) screening guidelines. In this study, 1 of 2 microsimulation analyses to inform the update of the American Cancer Society CRC screening guideline, the authors re‐evaluated the optimal screening strategies in light of the increase in CRC diagnosed in young adults. METHODS: The authors adjusted the MISCAN‐Colon model to reflect the higher CRC incidence in young adults, who were assumed to carry forward escalated disease risk as they age. Life‐years gained (LYG; benefit), the number of colonoscopies (COL; burden) and the ratios of incremental burden to benefit (efficiency ratio [ER] = ΔCOL/ΔLYG) were projected for different screening strategies. Strategies differed with respect to test modality, ages to start (40 years, 45 years, and 50 years) and ages to stop (75 years, 80 years, and 85 years) screening, and screening intervals (depending on screening modality). The authors then determined the model‐recommended strategies in a similar way as was done for the US Preventive Services Task Force, using ER thresholds in accordance with the previously accepted ER of 39. RESULTS: Because of the higher CRC incidence, model‐predicted LYG from screening increased compared with the previous analyses. Consequently, the balance of burden to benefit of screening improved and now 10‐yearly colonoscopy screening starting at age 45 years resulted in an ER of 32. Other recommended strategies included fecal immunochemical testing annually, flexible sigmoidoscopy screening every 5 years, and computed tomographic colonography every 5 years. CONCLUSIONS: This decision‐analysis suggests that in light of the increase in CRC incidence among young adults, screening may be offered earlier than has previously been recommended. Cancer 2018;124:2964‐73. © 2018 The Authors. Cancer published by Wiley Periodicals, Inc. on behalf of American Cancer Society. John Wiley and Sons Inc. 2018-05-30 2018-07-15 /pmc/articles/PMC6033623/ /pubmed/29846933 http://dx.doi.org/10.1002/cncr.31543 Text en © 2018 The Authors. Cancer published by Wiley Periodicals, Inc. on behalf of American Cancer Society This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Peterse, Elisabeth F. P.
Meester, Reinier G. S.
Siegel, Rebecca L.
Chen, Jennifer C.
Dwyer, Andrea
Ahnen, Dennis J.
Smith, Robert A.
Zauber, Ann G.
Lansdorp‐Vogelaar, Iris
The impact of the rising colorectal cancer incidence in young adults on the optimal age to start screening: Microsimulation analysis I to inform the American Cancer Society colorectal cancer screening guideline
title The impact of the rising colorectal cancer incidence in young adults on the optimal age to start screening: Microsimulation analysis I to inform the American Cancer Society colorectal cancer screening guideline
title_full The impact of the rising colorectal cancer incidence in young adults on the optimal age to start screening: Microsimulation analysis I to inform the American Cancer Society colorectal cancer screening guideline
title_fullStr The impact of the rising colorectal cancer incidence in young adults on the optimal age to start screening: Microsimulation analysis I to inform the American Cancer Society colorectal cancer screening guideline
title_full_unstemmed The impact of the rising colorectal cancer incidence in young adults on the optimal age to start screening: Microsimulation analysis I to inform the American Cancer Society colorectal cancer screening guideline
title_short The impact of the rising colorectal cancer incidence in young adults on the optimal age to start screening: Microsimulation analysis I to inform the American Cancer Society colorectal cancer screening guideline
title_sort impact of the rising colorectal cancer incidence in young adults on the optimal age to start screening: microsimulation analysis i to inform the american cancer society colorectal cancer screening guideline
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6033623/
https://www.ncbi.nlm.nih.gov/pubmed/29846933
http://dx.doi.org/10.1002/cncr.31543
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