Evidence map›Paper›PMID 36824946›Full record

ArticleResearch square2023

Racial Disparities in Quantitative MRI for African American and White Men with Prostate Cancer.

Fatemeh Zabihollahy, Qi Miao, Ida Sonni, Sitaram Vangala, Harrison Kim, William Hsu, Anthony Sisk, Robert Reiter, Steven Raman, Kyunghyun Sung

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 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, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Fatemeh ZabihollahyDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Qi MiaoDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Ida SonniDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Sitaram VangalaDepartment of Medicine Statistics Core, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Harrison KimDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA.
William HsuDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Anthony SiskDepartment of Pathology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Robert ReiterDepartment of Urology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Steven RamanDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Kyunghyun SungDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
University of California, Los Angeles · USUniversity of Alabama at Birmingham · US

Funding

Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer ClassificationR01CA248506 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SUNG, KYUNG HYUN, WU, HOLDEN H · 2020 to 2024
$3.0M
NCI NIH HHS R01 CA248506
6 · The paper itself

Abstract

The risk of prostate cancer (PCa) is strongly influenced by race and ethnicity. The purpose of this study is to investigate differences in the diagnostic performance of multiparametric MRI (mpMRI) in African American (AA) and white (W) men. 111 patients (37 AA and 74 W men) were selected from the study's initial cohort of 885 patients after matching age, prostate-specific antigen, and prostate volume. The diagnostic performance of mpMRI was assessed using detection rates (DRs) and positive predictive values (PPVs) with/without combining

Identifiers

PMID36824946
PMCPMC9949266
OpenAlexW4320914226

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.