Evidence map›Paper›PMID 35531364›Full record

ReviewTherapeutic advances in urology

A narrative review of biparametric MRI (bpMRI) implementation on screening, detection, and the overall accuracy for prostate cancer.

Jacob W Greenberg, Christopher R Koller, Crystal Casado, Benjamin L Triche, L Spencer Krane

Open access · goldAbstract readReview
In one paragraph

Review in Therapeutic advances in urology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  11. Review
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  13. State-of-the-art Prostate Imaging.Sisli Etfal Hastanesi tip bulteni · 2023
    Review
  14. 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 at 1 institution in 1 country.

Jacob W GreenbergDepartment of Urology, Tulane University School of Medicine, New Orleans, LA, USA.ORCID https://orcid.org/0000-0003-2544-4436
Christopher R KollerDepartment of Urology, Tulane University School of Medicine, New Orleans, LA, USA.
Crystal CasadoDepartment of Urology, Tulane University School of Medicine, New Orleans, LA, USA.
Benjamin L TricheDepartment of Radiology, Tulane University School of Medicine, New Orleans, LA, USA.
L Spencer KraneSoutheastern Louisiana Veterans Health Care System, 2400 Canal St., New Orleans, LA 70119, USA.
Tulane University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer is the most common malignancy in American men following skin cancer, with approximately one in eight men being diagnosed during their lifetime. Over the past several decades, the treatment of prostate cancer has evolved rapidly, so too has screening. Since the mid-2010s, magnetic resonance imaging (MRI)-guided biopsies or 'targeted biopsies' has been a rapidly growing topic of clinical research within the field of urologic oncology. The aim of this publication is to provide a review of biparametric MRI (bpMRI) utilization for the diagnosis of prostate cancer and a comparison to multiparametric MRI (mpMRI). Through single-centered studies and meta-analysis across all identified pertinent published literature, bpMRI is an effective tool for the screening and diagnosis of prostate cancer. When compared with the diagnostic accuracy of mpMRI, bpMRI identifies prostate cancer at comparable rates. In addition, when omitting dynamic contrast-enhanced (DCE) protocol to the MRI, patients incur reduced costs and shorter imaging time while providers can offer more tests to their patient population.

Indexed as

biparametricbpMRIdiagnostic imagingprostate cancerspecificity and sensitivity

Identifiers

PMID35531364
PMCPMC9073105
OpenAlexW4229444907

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.