ArticleUrology2019
Urologist Practice Structure and Spending for Prostate Cancer Care.
Article in Urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Integration of Advanced Practice Providers into Independent Surgical Groups.Journal of the American College of Surgeons · 2025Article
- Roles and therapeutic potential of the SLC family in prostate cancer-literature review.BMC urology · 2025Review
- Exploring the Association between Gut and Urine Microbiota and Prostatic Disease including Benign Prostatic Hyperplasia and Prostate Cancer Using 16S rRNA Sequencing.Biomedicines · 2022Article
- Association of Race With Receipt of Proton Beam Therapy for Patients With Newly Diagnosed Cancer in the US, 2004-2018.JAMA network open · 2022Article
- Urology Workforce Changes and Implications for Prostate Cancer Care Among Medicare Enrollees.Urology · 2021Article
- Urologist practice structure and quality of prostate cancer care.Urology practice · 2020Article
- Practice-Level Adoption of Conservative Management for Prostate Cancer.Journal of oncology practice · 2019Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveTo investigate the impact of urologist practice structure on health care spending for men with prostate cancer. We hypothesize that 3 elements of urologist practice structure may influence spending for prostate cancer care: urologist participation within a multispecialty group (MSG), practice size among single specialty urology groups, and intensity-modulated radiation therapy (IMRT) ownership. MATERIALS AND
methodsWe used a 20% sample of fee-for-service Medicare beneficiaries to identify men newly diagnosed with prostate cancer between 2011 and 2014. We identified each man's urologist and used data from the Healthcare Relational Spheres provider files to identify practice type, size, and IMRT ownership for each urologist. We then fit generalized linear mixed models to estimate the association between these practice features and Medicare payments in the year after diagnosis. All models were adjusted for patient and healthcare market characteristics.
resultsWe identified 35,929 men with newly diagnosed prostate cancer who were treated by 6381 urologists. Medicare payments for men with newly diagnosed prostate cancer were significantly lower in MSGs ($19,181 v. $22,366 large single specialty group, P < 0.001) and significantly higher among practices with IMRT ownership ($23,801 v. $20,162 for non-owners, P < 0.001). These differences persisted in sensitivity analyses including only men treated with radiotherapy and examining only prostate cancer-related claims.
conclusionUrologist practice structure is associated with payments for prostate cancer care. MSGs had the lowest Medicare payments per episode of prostate cancer care while groups with IMRT ownership had the highest.
Indexed as
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What OpenQuestion holds
Registered trials
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.