Evidence map›Paper›PMID 33369661›Full record

ArticleJAMA network open2020

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

Samuel L Washington, Chang Wook Jeong, Peter E Lonergan, Annika Herlemann, Scarlett L Gomez, Peter R Carroll, Matthew R Cooperberg

Abstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

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  6. Is uptake of AS in low-risk prostate cancer in Ontario linked to guideline publication?Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Samuel L WashingtonDepartment of Urology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco.
Chang Wook JeongDepartment of Urology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco.
Peter E LonerganDepartment of Urology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco.
Annika HerlemannDepartment of Urology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco.
Scarlett L GomezDepartment of Epidemiology & Biostatistics, University of California, San Francisco.
Peter R CarrollDepartment of Urology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco.
Matthew R CooperbergDepartment of Urology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Sentinel SurveillanceAgedBlack or African AmericanEthnicityGeographyHealthcare DisparitiesHispanic or LatinoHumansLogistic ModelsMaleMiddle AgedNeoplasm StagingOdds RatioPatient Acceptance of Health CarePractice Patterns, Physicians'Prostatic Neoplasms

Identifiers

PMID33369661
PMCPMC7770559

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.