Evidence map›Paper›PMID 35850677›Full record

ArticleBMC urology2022

Assessing the accuracy of multiparametric MRI to predict clinically significant prostate cancer in biopsy naïve men across racial/ethnic groups.

Julio Meza, Rilwan Babajide, Ragheed Saoud, Jamila Sweis, Josephine Abelleira, Irene Helenowski, Borko Jovanovic, Scott Eggener, Frank H Miller, Jeanne M Horowitz and 2 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC urology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. 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

12 authors at 3 institutions in 1 country.

Julio Meza *Department of Urology, Northwestern University, 710 N. Fairbanks Court Olson Pavilion 8-250, Chicago, IL, 60611, USA. julio.meza@northwestern.edu.
Rilwan Babajide *University of Chicago Division of Urology, Chicago, IL, USA.
Ragheed Saoud *Arthur Smith Institute of Urology at Riverhead, Northwell Health, Riverhead, NY, USA.
Jamila SweisDepartment of Urology, Northwestern University, 710 N. Fairbanks Court Olson Pavilion 8-250, Chicago, IL, 60611, USA.
Josephine AbelleiraDepartment of Urology, Northwestern University, 710 N. Fairbanks Court Olson Pavilion 8-250, Chicago, IL, 60611, USA.
Irene HelenowskiDepartment of Urology, Northwestern University, 710 N. Fairbanks Court Olson Pavilion 8-250, Chicago, IL, 60611, USA.
Borko JovanovicDepartment of Urology, Northwestern University, 710 N. Fairbanks Court Olson Pavilion 8-250, Chicago, IL, 60611, USA.
Scott EggenerUniversity of Chicago Division of Urology, Chicago, IL, USA.
Frank H MillerNorthwestern University Department of Radiology, Chicago, IL, USA.
Jeanne M Horowitz *Northwestern University Department of Radiology, Chicago, IL, USA. julio.meza@northwestern.edu.
David D Casalino *Northwestern University Department of Radiology, Chicago, IL, USA.
Adam B Murphy *Department of Urology, Northwestern University, 710 N. Fairbanks Court Olson Pavilion 8-250, Chicago, IL, 60611, USA.
Northwestern University · USUniversity of Chicago · USArthur Smith Institute for Urology · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Using Prostate Health Index and MRI in Combination for Cost-effectively Detecting High-Grade Prostate Cancer in MinoritiesR01CA249973 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MURPHY, ADAM B · 2020 to 2025
$2.9M
NCATS NIH HHS UL1 TR001422NCI NIH HHS 1R01CA249973
6 · The paper itself

Abstract

introductionThe Prostate Imaging Reporting and Data System (PIRADS) has shown promise in improving the detection of Gleason grade group (GG) 2-5 prostate cancer (PCa) and reducing the detection of indolent GG1 PCa. However, data on the performance of PIRADS in Black and Hispanic men is sparse. We evaluated the accuracy of PIRADS scores in detecting GG2-5 PCa in White, Black, and Hispanic men.

methodsWe performed a multicenter retrospective review of biopsy-naïve Black (n = 108), White (n = 108), and Hispanic (n = 64) men who underwent prostate biopsy (PB) following multiparametric MRI. Sensitivity and specificity of PIRADS for GG2-5 PCa were calculated. Race-stratified binary logistic regression models for GG2-5 PCa using standard clinical variables and PIRADS were used to calculate area under the receiver operating characteristics curves (AUC).

resultsRates of GG2-5 PCa were statistically similar between Blacks, Whites, and Hispanics (52.8% vs 42.6% vs 37.5% respectively, p = 0.12). Sensitivity was lower in Hispanic men compared to White men (87.5% vs 97.8% respectively, p = 0.01). Specificity was similar in Black versus White men (21.6% vs 27.4%, p = 0.32) and White versus Hispanic men (27.4% vs 17.5%, p = 0.14). The AUCs of the PIRADS added to standard clinical data (age, PSA and suspicious prostate exam) were similar when comparing Black versus White men (0.75 vs 0.73, p = 0.79) and White versus Hispanic men (0.73 vs 0.59, p = 0.11). The AUCs for the Base model and PIRADS model alone were statistically similar when comparing Black versus White men and White versus Hispanic men.

conclusionsThe accuracy of the PIRADS and clinical data for detecting GG2-5 PCa seems statistically similar across race. However, there is concern that PIRADS 2.0 has lower sensitivity in Hispanic men compared to White men. Prospective validation studies are needed.

Indexed as

Multiparametric Magnetic Resonance ImagingProstatic NeoplasmsBiopsyEthnicityHumansImage-Guided BiopsyMagnetic Resonance ImagingMaleProstate-Specific AntigenProstate-Specific AntigenComparative effectivenessEthnicityMRIPIRADSProstate cancerRaceSensitivity

Identifiers

PMID35850677
PMCPMC9295380
OpenAlexW4285730833

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.