Literature DB >> 34732855

Estimating patient health in prostate cancer treatment counseling.

Gregory T Chesnut1,2, Amy L Tin3, Katherine A Fleshner4, Nicole E Benfante5, Andrew J Vickers3, James A Eastham5, Daniel D Sjoberg3, Sigrid V Carlsson6,7,8.   

Abstract

BACKGROUND: We assessed the concordance among urologists' judgment 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.
© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

Entities:  

Year:  2021        PMID: 34732855      PMCID: PMC9061891          DOI: 10.1038/s41391-021-00467-5

Source DB:  PubMed          Journal:  Prostate Cancer Prostatic Dis        ISSN: 1365-7852            Impact factor:   5.554


  26 in total

1.  Mechanisms of decision-making in preoperative assessment for older adult prostate cancer patients-A qualitative study.

Authors:  Patrick Kierkegaard; Mira D Vale; Spencer Garrison; Brent K Hollenbeck; John M Hollingsworth; Jason Owen-Smith
Journal:  J Surg Oncol       Date:  2019-12-23       Impact factor: 3.454

Review 2.  A systematic literature review of life expectancy prediction tools for patients with localized prostate cancer.

Authors:  Matthew Kent; Andrew J Vickers
Journal:  J Urol       Date:  2014-11-15       Impact factor: 7.450

3.  Improved prediction of long-term, other cause mortality in men with prostate cancer.

Authors:  Timothy J Daskivich; Karim Chamie; Lorna Kwan; Jessica Labo; Atreya Dash; Sheldon Greenfield; Mark S Litwin
Journal:  J Urol       Date:  2011-09-23       Impact factor: 7.450

4.  The assessment of patient life-expectancy: how accurate are urologists and oncologists?

Authors:  James R M Wilson; Michael G Clarke; Paul Ewings; John D Graham; Ruaraidh MacDonagh
Journal:  BJU Int       Date:  2005-04       Impact factor: 5.588

5.  External Validation of the Prostate Cancer Specific Comorbidity Index: A Claims Based Tool for the Prediction of Life Expectancy in Men with Prostate Cancer.

Authors:  Timothy J Daskivich; I-Chun Thomas; Michael Luu; Jeremy B Shelton; Danil V Makarov; Ted A Skolarus; John T Leppert
Journal:  J Urol       Date:  2019-08-08       Impact factor: 7.450

6.  Long-term survival rates of patients with prostate cancer in the prostate-specific antigen screening era: population-based estimates for the year 2000 by period analysis.

Authors:  Hermann Brenner; Volker Arndt
Journal:  J Clin Oncol       Date:  2004-11-30       Impact factor: 44.544

Review 7.  The science of early detection.

Authors:  Barnett S Kramer
Journal:  Urol Oncol       Date:  2004 Jul-Aug       Impact factor: 3.498

8.  Long-term survival probability in men with clinically localized prostate cancer: a case-control, propensity modeling study stratified by race, age, treatment and comorbidities.

Authors:  Ashutosh Tewari; Christine Cole Johnson; George Divine; E David Crawford; Eduard J Gamito; Raymond Demers; Mani Menon
Journal:  J Urol       Date:  2004-04       Impact factor: 7.450

9.  Successful external validation of a model to predict other cause mortality in localized prostate cancer.

Authors:  Matthew Kent; David F Penson; Peter C Albertsen; Michael Goodman; Ann S Hamilton; Janet L Stanford; Antoinette M Stroup; Behfar Ehdaie; Peter T Scardino; Andrew J Vickers
Journal:  BMC Med       Date:  2016-02-09       Impact factor: 8.775

10.  Development and Evaluation of a New Frailty Index for Older Surgical Patients With Cancer.

Authors:  Armin Shahrokni; Amy Tin; Koshy Alexander; Saman Sarraf; Anoushka Afonso; Olga Filippova; Jennifer Harris; Robert J Downey; Andrew J Vickers; Beatriz Korc-Grodzicki
Journal:  JAMA Netw Open       Date:  2019-05-03
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