Evidence map›Paper›PMID 39312683›Full record

ArticleJournal of the National Cancer Institute2025

Disparities in the utilization of magnetic resonance imaging for prostate cancer detection: a population-based study.

Christiane J El Khoury, Stephen J Freedland, Krupa Gandhi, Scott W Keith, Nikita Nikita, Amy Shaver, Swapnil Sharma, W M Kevin Kelly, Grace Lu-Yao

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Geographic variability in contemporary utilization of PET imaging for prostate cancer: a medicare claims cohort study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
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

9 authors.

Christiane J El KhouryDepartment of Medical Oncology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.ORCID 0000-0002-6677-2447
Stephen J FreedlandDepartment of Urology, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Krupa GandhiDivision of Biostatistics and Bioinformatics, Department of Pharmacology, Physiology, and Cancer Biology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
Scott W KeithSidney Kimmel Comprehensive Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA.
Nikita NikitaDepartment of Medical Oncology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
Amy ShaverDepartment of Medical Oncology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
Swapnil SharmaDepartment of Medical Oncology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
W M Kevin KellyDepartment of Medical Oncology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
Grace Lu-YaoDepartment of Medical Oncology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.ORCID 0000-0002-2925-7737

Funding

X-Ray Crystallography and Macromolecular CharacterizationP30CA056036 · NCI · THOMAS JEFFERSON UNIVERSITY · PI Claudio Guillermo Giraudo · 1995 to 2026
$94.8M
California Department of Public HealthCalifornia Health and Safety Code Section 103885Centers for Disease Control and Prevention's National Program of Cancer 1NU58DP007156NCINCI NIH HHS HHSN261201800009CNCI NIH HHS HHSN261201800009INCI NIH HHS HHSN261201800015CNCI NIH HHS HHSN261201800015INCI NIH HHS HHSN261201800032CNCI NIH HHS HHSN261201800032INCI NIH HHS P30 CA056036NIH HHS 5P30CA056-036Pennsylvania Department of Health 4100088563
6 · The paper itself

Abstract

backgroundRacial disparities exist in prostate cancer care and outcomes. Ultrasound-guided biopsy may miss a sizeable portion of clinically significant prostate cancer, while magnetic resonance imaging (MRI) improves its detection. This study aimed to investigate demographic and socioeconomic status-related factors influencing MRI use for prostate cancer detection.

methodsSurveillance, Epidemiology, and End Results Program-Medicare data were used to assess use of prediagnostic MRI in 90 908 patients with a diagnosis of primary prostate cancer (2012-2019). Modified Poisson regression models adjusted for socioeconomic factors such as income, education, Medicare buy-in, and dual eligibility, were used to examine factors associated with MRI use. All statistical tests were 2 sided.

resultsPrediagnostic MRI use increased substantially between 2012 (3.8%) and 2019 (32.6%). The disparity in utilization between non-Hispanic Black and non-Hispanic White patients decreased by more than half, from 43% (relative risk [RR] = 0.57, 95% confidence interval [CI] = 0.48 to 0.67) in 2012 to 20% (RR = 0.80, 95% CI = 0.74 to 0.86) in 2019. Rural residents were 35% less likely (RR = 0.65, 95% CI = 0.61 to 0.69) to undergo MRI, while individuals in the US Census Central (vs West) region of the United States were 49% less likely (RR = 0.49, 95% CI = 0.48 to 0.51). No significant disparities in MRI use were identified between individuals 75 years of age and older and individuals aged 64 to 75 years. Socioeconomic status factors associated with MRI use were income, education, Medicare buy-in, and dual eligibility.

conclusionsThis study revealed increased MRI utilization over time, including among individuals 75 years of age and older. Racial disparities decreased, while wide urban-rural disparities remained. Targeted public health interventions should focus on geographical factors because urban or rural designations and US region were associated with the most prominent disparities. Future research should explore pathways contributing to these disparities by using a multidisciplinary approach, including geographical studies, to help eliminate health-care inequities.

Indexed as

Healthcare DisparitiesMagnetic Resonance ImagingProstatic NeoplasmsAgedAged, 80 and overBlack or African AmericanEarly Detection of CancerHumansMaleMedicareSEER ProgramSocioeconomic FactorsUnited StatesWhiteWhite People

Identifiers

PMID39312683
PMCPMC11807436

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.