Evidence map›Paper›PMID 42793842›Full record

ArticleDiagnostics (Basel, Switzerland)2026

An Assessment of PI-RADS v2.1: Inter-Reader Agreement, Diagnostic Accuracy, and the Added Value of PSA Density in Prostate Cancer Prediction.

Mohammad Abufaraj, Sarah B Al-Qalalweh, Ahmad S Kreishan, Rama M Abbadi, Omar Ismail, Abdelrhman Labib, Mohammad Abu Shattal, Diana A Bawi, Osama Samara, Yazeed E Alhanbali and 3 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2026. 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.

No citing paper in PubMed yet.

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

13 authors.

Mohammad AbufarajDivision of Urology, Department of Special Surgery, Jordan University Hospital, The University of Jordan, Amman 11942, Jordan.ORCID 0000-0002-6603-6319
Sarah B Al-QalalwehDepartment of Special Surgery, Jordan University Hospital, University of Jordan, Amman 11942, Jordan.
Ahmad S KreishanDepartment of Radiology, King Hussein Medical Center, Jordanian Royal Medical Services, Amman 11733, Jordan.
Rama M AbbadiDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN 55454, USA.ORCID 0009-0003-2726-2684
Omar IsmailDepartment of Internal Medicine, Jordan University Hospital, University of Jordan, Amman 11942, Jordan.ORCID 0000-0003-3774-337X
Abdelrhman LabibDepartment of Radiology, Abdali Hospital, Amman 11191, Jordan.
Mohammad Abu ShattalDepartment of Diagnostic Radiology, King Hussein Cancer Center, Amman 11941, Jordan.ORCID 0009-0003-7551-6239
Diana A BawiUniversity Hospitals Leicester NHS Trust, Leicester LE1 5WW, UK.
Osama SamaraDepartment of Radiology and Nuclear Medicine, Jordan University Hospital, The University of Jordan, Amman 11942, Jordan.
Yazeed E AlhanbaliDepartment of Internal Medicine, The University of Texas Medical Branch, Galveston, TX 77555, USA.
Salma N FarahSchool of Medicine, University of Jordan, Amman 11942, Jordan.
Mousa A Al-AbbadiDepartment of Pathology, Microbiology and Forensic Medicine, College of Medicine, University of Jordan, Amman 11942, Jordan.
Shahrokh F ShariatDivision of Urology, Department of Special Surgery, Jordan University Hospital, The University of Jordan, Amman 11942, Jordan.ORCID 0000-0002-6627-6179

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

clinically significant prostate cancerinter-reader agreementmultiparametric MRIPI-RADS v2.1prostate cancerPSA density

Identifiers

PMID42793842
PMCPMC13605971

What OpenQuestion holds

Textmetadata
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.