Evidence map›Paper›PMID 36160831›Full record

ReviewWorld journal of radiology2022

Augmenting prostate magnetic resonance imaging reporting to incorporate diagnostic recommendations based upon clinical risk calculators.

Karisma Gupta, Jordan D Perchik, Andrew M Fang, Kristin K Porter, Soroush Rais-Bahrami

Abstract readReview
In one paragraph

Review in World journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Karisma GuptaDepartment of Radiology, University of Washington, Seattle, WA 98195, United States.
Jordan D PerchikDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL 35233, United States.
Andrew M FangDepartment of Urology, University of Alabama at Birmingham, Birmingham, AL 35233, United States.
Kristin K PorterDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL 35233, United States.
Soroush Rais-BahramiDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL 35233, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Risk calculators have offered a viable tool for clinicians to stratify patients at risk of prostate cancer (PCa) and to mitigate the low sensitivity and specificity of screening prostate specific antigen (PSA). While initially based on clinical and demographic data, incorporation of multiparametric magnetic resonance imaging (MRI) and the validated prostate imaging reporting and data system suspicion scoring system has standardized and improved risk stratification beyond the use of PSA and patient parameters alone. Biopsy-naïve patients with lower risk profiles for harboring clinically significant PCa are often subjected to uncomfortable, invasive, and potentially unnecessary prostate biopsy procedures. Incorporating risk calculator data into prostate MRI reports can broaden the role of radiologists, improve communication with clinicians primarily managing these patients, and help guide clinical care in directing the screening, detection, and risk stratification of PCa.

Indexed as

BiopsyMultiparametric magnetic resonance imagingNomogramsProstatic adenocarcinomaRisk calculators

Identifiers

PMID36160831
PMCPMC9453318

What OpenQuestion holds

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LicenceCC BY-NC
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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.