Literature DB >> 33369661

Regional Variation in Active Surveillance for Low-Risk Prostate Cancer in the US.

Samuel L Washington1,2, Chang Wook Jeong1,3, Peter E Lonergan1, Annika Herlemann1,4, Scarlett L Gomez2, Peter R Carroll1, Matthew R Cooperberg1,2.   

Abstract

Importance: Active surveillance (AS) is now recognized as the preferred management option for most low-risk prostate cancers to minimize risks of overtreatment. Despite increasing use of AS in the US, wide regional variability has been observed, and these regional variations in contemporary practice have not been well described. Objective: To explore variations between county and Surveillance, Epidemiology, and End Results (SEER) regions in AS in the US. Design, Setting, and Participants: A cohort study using the SEER Prostate with Watchful Waiting (WW) database linked to the County Area Health Resource File for detailed county-level demographics and physician distribution data was conducted from January 2010 to December 2015. Analysis was performed in October 2020. A total of 79 825 men with clinically localized, low-risk prostate cancer eligible for AS or WW were included. Exposures: Multiple patient-, county-, and SEER region-level factors, including age, year of diagnosis, county-level densities of urologists, radiation oncologists, primary care physicians, and SEER registry region. Main Outcomes and Measures: Use of AS or WW as the initial reported treatment strategy were noted. Hierarchical mixed-effect logistic regression models were used to evaluate clustered random regional variation on use of AS or WW. Temporal trends by year in proportions of initial treatment type, as well as county-level local variation, were also estimated.
Results: Of 79 825 men (mean [SD] age, 62.8 [7.6] years, 11 292 [14.1%] non-Hispanic Black, 7506 [9.4%] Hispanic) with low-risk prostate cancer, the mean annualized percent increase in AS rates from 2010 to 2015 ranged from 6.3% in New Mexico to 81.0% in New Jersey. Differences across SEER regions accounted for 17% of the total variation in AS. Increasing age (51-60 years: odds ratio [OR], 1.33; 95% CI, 1.21-1.46; 61-70 years: OR, 1.86; 95% CI, 1.70-2.04; 71-80 years: OR, 2.26; 95% CI, 2.05-2.50) was associated with greater odds of AS. Hispanic ethnicity (OR, 0.79; 95% CI, 0.74-0.85), T category (OR, 0.79; 95% CI, 0.73-0.84), and Medicaid enrollment (OR, 0.73; 95% CI, 0.66-0.81) were associated with lower odds of AS. Black race, county-level socioeconomic factors (household income, educational level, and city type), and specialist densities were not associated with AS use. Conclusions and Relevance: In this US cohort study based on the SEER-WW database, although the use of AS increased, considerable practice variation appeared to be associated with geographic location, but use of AS was not associated with Black race, specialty professional density, or socioeconomic factors. This small area variation underlies the broader national trends in AS practice and may inform policies aimed at continuing to affect risk-appropriate care for men throughout the US.

Entities:  

Year:  2020        PMID: 33369661     DOI: 10.1001/jamanetworkopen.2020.31349

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


  8 in total

1.  Knowledge, attitudes, and practices of active surveillance in prostate cancer among urologists: a real-life survey from Brazil.

Authors:  Marcelo Langer Wroclawski; Breno Santos Amaral; Paulo Priante Kayano; Wilson Francisco Schreiner Busato; Sebastião José Westphal; Erik Montagna; Bianca Bianco; Andrey Soares; Fernando Cotait Maluf; Gustavo Caserta Lemos; Arie Carneiro
Journal:  BMC Urol       Date:  2022-06-15       Impact factor: 2.090

2.  Genetic Factors Associated with Prostate Cancer Conversion from Active Surveillance to Treatment.

Authors:  Yu Jiang; Travis J Meyers; Adaeze A Emeka; Lauren Folgosa Cooley; Phillip R Cooper; Nicola Lancki; Irene Helenowski; Linda Kachuri; Daniel W Lin; Janet L Stanford; Lisa F Newcomb; Suzanne Kolb; Antonio Finelli; Neil E Fleshner; Maria Komisarenko; James A Eastham; Behfar Ehdaie; Nicole Benfante; Christopher J Logothetis; Justin R Gregg; Cherie A Perez; Sergio Garza; Jeri Kim; Leonard S Marks; Merdie Delfin; Danielle Barsa; Danny Vesprini; Laurence H Klotz; Andrew Loblaw; Alexandre Mamedov; S Larry Goldenberg; Celestia S Higano; Maria Spillane; Eugenia Wu; H Ballentine Carter; Christian P Pavlovich; Mufaddal Mamawala; Tricia Landis; Peter R Carroll; June M Chan; Matthew R Cooperberg; Janet E Cowan; Todd M Morgan; Javed Siddiqui; Rabia Martin; Eric A Klein; Karen Brittain; Paige Gotwald; Daniel A Barocas; Jeremiah R Dallmer; Jennifer B Gordetsky; Pam Steele; Shilajit D Kundu; Jazmine Stockdale; Monique J Roobol; Lionne D F Venderbos; Martin G Sanda; Rebecca Arnold; Dattatraya Patil; Christopher P Evans; Marc A Dall'Era; Anjali Vij; Anthony J Costello; Ken Chow; Niall M Corcoran; Soroush Rais-Bahrami; Courtney Phares; Douglas S Scherr; Thomas Flynn; R Jeffrey Karnes; Michael Koch; Courtney Rose Dhondt; Joel B Nelson; Dawn McBride; Michael S Cookson; Kelly L Stratton; Stephen Farriester; Erin Hemken; Walter M Stadler; Tuula Pera; Deimante Banionyte; Fernando J Bianco; Isabel H Lopez; Stacy Loeb; Samir S Taneja; Nataliya Byrne; Christopher L Amling; Ann Martinez; Luc Boileau; Franklin D Gaylis; Jacqueline Petkewicz; Nicholas Kirwen; Brian T Helfand; Jianfeng Xu; Denise M Scholtens; William J Catalona; John S Witte
Journal:  HGG Adv       Date:  2021-11-19

3.  Adoption of New Risk Stratification Technologies Within US Hospital Referral Regions and Association With Prostate Cancer Management.

Authors:  Michael S Leapman; Rong Wang; Henry S Park; James B Yu; Preston C Sprenkle; Michaela A Dinan; Xiaomei Ma; Cary P Gross
Journal:  JAMA Netw Open       Date:  2021-10-01

4.  Association Between a 22-feature Genomic Classifier and Biopsy Gleason Upgrade During Active Surveillance for Prostate Cancer.

Authors:  Benjamin H Press; Tashzna Jones; Olamide Olawoyin; Soum D Lokeshwar; Syed N Rahman; Ghazal Khajir; Daniel W Lin; Matthew R Cooperberg; Stacy Loeb; Burcu F Darst; Yingye Zheng; Ronald C Chen; John S Witte; Tyler M Seibert; William J Catalona; Michael S Leapman; Preston C Sprenkle
Journal:  Eur Urol Open Sci       Date:  2022-02-11

5.  Five-year follow-up study of a population-based prospective cohort of men with low-risk prostate cancer: the treatment options in prostate cancer study (TOPCS): study protocol.

Authors:  Jinping Xu; Michael Goodman; James Janisse; Michael L Cher; Cathryn Hufford Bock
Journal:  BMJ Open       Date:  2022-02-21       Impact factor: 2.692

6.  Variation in the Use of Active Surveillance for Low-Risk Prostate Cancer Across US Census Regions.

Authors:  Bashir Al Hussein Al Awamlh; Neal Patel; Xiaoyue Ma; Adam Calaway; Lee Ponsky; Jim C Hu; Jonathan E Shoag
Journal:  Front Oncol       Date:  2021-05-19       Impact factor: 6.244

7.  Trends and practices for managing low-risk prostate cancer: a SEER-Medicare study.

Authors:  Richard M Hoffman; Sarah L Mott; Bradley D McDowell; Sonia T Anand; Kenneth G Nepple
Journal:  Prostate Cancer Prostatic Dis       Date:  2021-06-09       Impact factor: 5.455

8.  Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillance.

Authors:  Nikita Sushentsev; Leonardo Rundo; Oleg Blyuss; Tatiana Nazarenko; Aleksandr Suvorov; Vincent J Gnanapragasam; Evis Sala; Tristan Barrett
Journal:  Eur Radiol       Date:  2021-07-13       Impact factor: 5.315

  8 in total

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