Evidence map›Paper›PMID 32307327›Full record

ArticleUrologic oncology2020

Multicenter analysis of clinical and MRI characteristics associated with detecting clinically significant prostate cancer in PI-RADS (v2.0) category 3 lesions.

Bashir Al Hussein Al Awamlh, Leonard S Marks, Geoffrey A Sonn, Shyam Natarajan, Richard E Fan, Michael D Gross, Elizabeth Mauer, Samprit Banerjee, Stefanie Hectors, Sigrid Carlsson and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Urologic oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Bashir Al Hussein Al AwamlhDepartment of Urology, New York Presbyterian Hospital, Weill Cornell Medicine, New York, NY.
Leonard S MarksDepartment of Urology, Ronald Reagan UCLA Medical Center, Los Angeles, CA.
Geoffrey A SonnDepartment of Urology, Stanford University School of Medicine, Stanford, CA.
Shyam NatarajanDepartment of Bioengineering, University of California at Los Angeles, Los Angeles, CA.
Richard E FanDepartment of Urology, Stanford University School of Medicine, Stanford, CA.
Michael D GrossDepartment of Urology, New York Presbyterian Hospital, Weill Cornell Medicine, New York, NY.
Elizabeth MauerDivision of Healthcare Policy and Research, Weill Cornell Medicine, New York, NY.
Samprit BanerjeeDivision of Healthcare Policy and Research, Weill Cornell Medicine, New York, NY.
Stefanie HectorsDepartment of Radiology,New York Presbyterian Hospital, Weill Cornell Medicine, New York, NY.
Sigrid CarlssonDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
Daniel J MargolisDepartment of Radiology,New York Presbyterian Hospital, Weill Cornell Medicine, New York, NY.
Jim C HuDepartment of Urology, New York Presbyterian Hospital, Weill Cornell Medicine, New York, NY. Electronic address: jch9011@med.cornell.edu.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Improving shared decision making in cancer screeningK22CA234400 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CARLSSON, SIGRID · 2019 to 2021
$621k
NCI NIH HHS K22 CA234400NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

objectivesWe sought to identify clinical and magnetic resonance imaging (MRI) characteristics in men with the Prostate Imaging - Reporting and Data System (PI-RADS) category 3 index lesions that predict clinically significant prostate cancer (CaP) on MRI targeted biopsy. MATERIALS AND

methodsMulticenter study of prospectively collected data for biopsy-naive men (n = 247) who underwent MRI-targeted and systematic biopsies for PI-RADS 3 index lesions. The primary endpoint was diagnosis of clinically significant CaP (Grade Group ≥2). Multivariable logistic regression models assessed for factors associated with clinically significant CaP. The probability distributions of clinically significant CaP based on different levels of predictors of multivariable models were plotted in a heatmap.

resultsMen with clinically significant CaP had smaller prostate volume (39.20 vs. 55.10 ml, P < 0.001) and lower apparent diffusion coefficient (ADC) values (973 vs. 1068 μm

conclusionHigher PSA density, lower prostate volume and ADC values are associated with clinically significant CaP in biopsy-naïve men with PI-RADS 3 lesions. We present regression-derived probabilities of detecting clinically significant CaP based on various clinical and imaging values that can be used in decision-making. Our findings demonstrate an opportunity for MRI refinement or biomarker discovery to improve risk stratification for PI-RADS 3 lesions.

Indexed as

AgedHumansMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesProstatic NeoplasmsMagnetic resonance imagingProstate cancer

Identifiers

PMID32307327
PMCPMC7328785

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Registered trials

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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.