Evidence map›Paper›PMID 37580226›Full record

ArticleUrologic oncology2023

Association between urology practice use of multiparametric MRI and genomic testing and treatment of men with newly diagnosed prostate cancer.

Kassem S Faraj, Samuel R Kaufman, Lindsey A Herrel, Mary K Oerline, Avinash Maganty, Vahakn B Shahinian, Brent K Hollenbeck

Abstract read
In one paragraph

Article in Urologic oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kassem S FarajDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI. Electronic address: farajk@med.umich.edu.
Samuel R KaufmanDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI.
Lindsey A HerrelDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI.
Mary K OerlineDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI.
Avinash MagantyDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI.
Vahakn B ShahinianDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
Brent K HollenbeckDepartment of Urology, Massachusetts General Hospital, Boston, MA.

Funding

Tissue/InformaticsP50CA186786 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Ganesh S Palapattu · 2014 to 2026
$27.6M
Advanced Training in Urologic OncologyT32CA180984 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Ganesh S Palapattu, VAHAKN B SHAHINIAN · 2014 to 2026
$3.4M
Aligning financial incentives to promote rational use of active surveillance for prostate cancerR01CA269367 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BRENT K. HOLLENBECK, VAHAKN B SHAHINIAN · 2022 to 2026
$2.8M
NCI NIH HHS P50 CA186786NCI NIH HHS R01 CA269367NCI NIH HHS T32 CA180984
6 · The paper itself

Abstract

introductionBiomarkers for prostate cancer, such as multiparametric MRI (mpMRI) and tissue-based genomics, are increasingly used for treatment decision-making. Using biomarkers indiscriminately and thus ignoring competing risks of mortality may lead to treatment in some men who derive little clinical benefit. We assessed the relationship between urology practice use of biomarkers and subsequent treatment in men with newly diagnosed prostate cancer.

methodsWe used a 20% random sample of national Medicare data to perform a retrospective cohort study of men with newly diagnosed prostate cancer diagnosed from 2015 through 2019. Urology practice-level use of biomarkers was characterized based on urology practice propensity to use either biomarker after diagnosis (never, below median, above the median). Noncancer mortality risk within 10 years of diagnosis was calculated for all men. Multilevel models were used to assess the relationship between practice-level biomarker use and treatment by noncancer mortality risk.

resultsBetween 2015 and 2019, 1,764 (65%) urology practices used mpMRI and 897 (33%) used genomic testing for prostate cancer. Compared with urology practices never using each biomarker, those using mpMRI above the median (56% vs. 47%, P = 0.003) and tissue-based genomics below the median (56% vs. 50%, P = 0.03) were more likely to treat men with >75% risk of noncancer mortality. Additionally, compared with urology practices never using either biomarker, use of mpMRI (72% vs. 69%, P = 0.07) or tissue-based genomics (71% vs. 70%, P = 0.65) did not impact treatment in the healthiest group (i.e., those with <25% risk of noncancer mortality).

conclusionsCompared to practices that do not use each biomarker in men with newly diagnosed prostate cancer, urology practices using mpMRI, and tissue-based genomics to a lesser extent, are more likely to treat men at very high risk of dying from competing risks of mortality within 10 years of prostate cancer diagnosis.

Indexed as

Multiparametric Magnetic Resonance ImagingProstatic NeoplasmsUrologyAgedBiomarkersGenetic TestingHumansMagnetic Resonance ImagingMaleMedicareRetrospective StudiesUnited StatesBiomarkersBiomarkersOvertreatmentProstate cancerTreatment

Identifiers

PMID37580226
PMCPMC10836888

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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.