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Estimating patient health in prostate cancer treatment counseling

BACKGROUND: We assessed the concordance among urologists’ judgement of health quartiles for patients with localized prostate cancer, and compared the life expectancy (LE) and ensuing treatment recommendations when following National Comprehensive Cancer Network (NCCN) guidelines based on actuarial l...

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Autores principales: Chesnut, Gregory T., Tin, Amy L., Fleshner, Katherine A., Benfante, Nicole E., Vickers, Andrew J., Eastham, James A., Sjoberg, Daniel D., Carlsson, Sigrid V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9061891/
https://www.ncbi.nlm.nih.gov/pubmed/34732855
http://dx.doi.org/10.1038/s41391-021-00467-5
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author Chesnut, Gregory T.
Tin, Amy L.
Fleshner, Katherine A.
Benfante, Nicole E.
Vickers, Andrew J.
Eastham, James A.
Sjoberg, Daniel D.
Carlsson, Sigrid V.
author_facet Chesnut, Gregory T.
Tin, Amy L.
Fleshner, Katherine A.
Benfante, Nicole E.
Vickers, Andrew J.
Eastham, James A.
Sjoberg, Daniel D.
Carlsson, Sigrid V.
author_sort Chesnut, Gregory T.
collection PubMed
description BACKGROUND: We assessed the concordance among urologists’ judgement of health quartiles for patients with localized prostate cancer, and compared the life expectancy (LE) and ensuing treatment recommendations when following National Comprehensive Cancer Network (NCCN) guidelines based on actuarial life tables versus the Kent model, a validated LE prediction model. METHODS: NCCN suggests using actuarial life tables and relying on surgeon assessment of patient health to increase (for the best quartile) or decrease (for the worst quartile) LE by 50%. Eleven urologic surgeons allocated quartile of health and recommended treatments for ten patient vignettes. The 10-year survival probability was calculated using the Kent model and compared to the life table estimate based on health quartile by surgeon consensus. RESULTS: Surgeon assessment agreed with the presumed true quartile of health based on a validated model in 41% of cases. For no case did three-quarters of surgeons assign health quartile correctly; in half of cases, <50% of surgeons assigned the correct quartile. The NCCN comorbidity-adjusted LE estimates underestimated risk of death in the best health quartile and overestimated risk of death in the worst health quartile, compared to the Kent model. Patients with LE > 10 years on NCCN estimation were recommended more frequently for surgery (81%) and those with ≤ 10 years estimated LE were more commonly recommended for radiation (57%) or observation (29%). CONCLUSIONS: A method based on physician-assessed health quartiles for LE estimation, as suggested by the NCCN guidelines, appears too crude to be used in the treatment counseling of men with localized prostate cancer, as compared to a validated prediction model, such as the Kent model.
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spelling pubmed-90618912023-05-03 Estimating patient health in prostate cancer treatment counseling Chesnut, Gregory T. Tin, Amy L. Fleshner, Katherine A. Benfante, Nicole E. Vickers, Andrew J. Eastham, James A. Sjoberg, Daniel D. Carlsson, Sigrid V. Prostate Cancer Prostatic Dis Article BACKGROUND: We assessed the concordance among urologists’ judgement of health quartiles for patients with localized prostate cancer, and compared the life expectancy (LE) and ensuing treatment recommendations when following National Comprehensive Cancer Network (NCCN) guidelines based on actuarial life tables versus the Kent model, a validated LE prediction model. METHODS: NCCN suggests using actuarial life tables and relying on surgeon assessment of patient health to increase (for the best quartile) or decrease (for the worst quartile) LE by 50%. Eleven urologic surgeons allocated quartile of health and recommended treatments for ten patient vignettes. The 10-year survival probability was calculated using the Kent model and compared to the life table estimate based on health quartile by surgeon consensus. RESULTS: Surgeon assessment agreed with the presumed true quartile of health based on a validated model in 41% of cases. For no case did three-quarters of surgeons assign health quartile correctly; in half of cases, <50% of surgeons assigned the correct quartile. The NCCN comorbidity-adjusted LE estimates underestimated risk of death in the best health quartile and overestimated risk of death in the worst health quartile, compared to the Kent model. Patients with LE > 10 years on NCCN estimation were recommended more frequently for surgery (81%) and those with ≤ 10 years estimated LE were more commonly recommended for radiation (57%) or observation (29%). CONCLUSIONS: A method based on physician-assessed health quartiles for LE estimation, as suggested by the NCCN guidelines, appears too crude to be used in the treatment counseling of men with localized prostate cancer, as compared to a validated prediction model, such as the Kent model. 2023-06 2021-11-03 /pmc/articles/PMC9061891/ /pubmed/34732855 http://dx.doi.org/10.1038/s41391-021-00467-5 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms
spellingShingle Article
Chesnut, Gregory T.
Tin, Amy L.
Fleshner, Katherine A.
Benfante, Nicole E.
Vickers, Andrew J.
Eastham, James A.
Sjoberg, Daniel D.
Carlsson, Sigrid V.
Estimating patient health in prostate cancer treatment counseling
title Estimating patient health in prostate cancer treatment counseling
title_full Estimating patient health in prostate cancer treatment counseling
title_fullStr Estimating patient health in prostate cancer treatment counseling
title_full_unstemmed Estimating patient health in prostate cancer treatment counseling
title_short Estimating patient health in prostate cancer treatment counseling
title_sort estimating patient health in prostate cancer treatment counseling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9061891/
https://www.ncbi.nlm.nih.gov/pubmed/34732855
http://dx.doi.org/10.1038/s41391-021-00467-5
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