Evidence map›Paper›PMID 32257972›Full record

ArticleProstate international2020

Correlation of Prostate-Imaging Reporting and Data Scoring System scoring on multiparametric prostate magnetic resonance imaging with histopathological factors in radical prostatectomy material in Turkish prostate cancer patients: a multicenter study of the Urooncology Association.

Fuat Kızılay, Serdar Çelik, Sinan Sözen, Bora Özveren, Saadettin Eskiçorapçı, Mahir Özgen, Haluk Özen, Bülent Akdoğan, Güven Aslan, Fehmi Narter and 3 more

Open access · goldAbstract read
In one paragraph

Article in Prostate international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Evaluation of 3D ARFI imaging of prostate cancer: diagnostic reliability and concordance with MpMRI.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
  6. Article
  7. Article
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  9. Article
  10. Article
  11. Article
  12. Article
  13. The Role of [Cancers · 2022
    Review
  14. Article
  15. Article
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  17. Article
  18. Article
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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

13 authors at 8 institutions in 1 country.

Fuat KızılayEge University, Department of Urology, Izmir, Turkey.
Serdar ÇelikIzmir Bozyaka Training and Research Hospital, Urology Clinic, Izmir, Turkey.
Sinan SözenGazi University, Department of Urology, Ankara, Turkey.
Bora ÖzverenAcıbadem Altunizade Hospital, Istanbul, Turkey.
Saadettin EskiçorapçıAcıbadem Atakent Hospital, Istanbul, Turkey.
Mahir ÖzgenAcıbadem Kadıköy Hospital, Istanbul, Turkey.
Haluk ÖzenHacettepe University, Department of Urology, Ankara, Turkey.
Bülent AkdoğanHacettepe University, Department of Urology, Ankara, Turkey.
Güven AslanDokuz Eylül University, Department of Urology, Izmir, Turkey.
Fehmi NarterAcıbadem Kadıköy Hospital, Istanbul, Turkey.
Çağ ÇalEge University, Department of Urology, Izmir, Turkey.
Levent TürkeriAcıbadem Altunizade Hospital, Istanbul, Turkey.
Members of Urooncology Association
Acıbadem Adana Hospital · TRAcıbadem Kadıköy Hospital · TREge University · TRHacettepe University · TRAcıbadem University Atakent Hospital · TRDokuz Eylül University · TRGazi University · TRIzmir Bozyaka Eğitim ve Araştırma Hastanesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHistopathological features after radical prostatectomy (RP) provide important information for the prognosis of prostate cancer (PCa). The possible correlations between Prostate-Imaging Reporting and Data Scoring System (PIRADS) scores in multiparametric magnetic resonance imaging (mpMRI) may also be predictive for prognosis. In this study, we aimed to evaluate the correlation of PIRADS scores with histopathological data.

methodsA total of 177 patients who underwent preoperative mpMRI and RP for PCa from eight institutions were included in the study. Correlation of PIRADS score in preoperative mpMRI with adverse histopathological factors in RP specimen was investigated using univariate and multivariate analyses.

resultsThe relationship between PIRADS score and postoperative extracapsular extension, lymphovascular invasion, and seminal vesicle involvement was significant (

conclusionPIRADS scoring system in mpMRI showed a statistically significant correlation with adverse histopathological factors in RP specimen. A higher PIRADS score may help to predict a higher Gleason score, indicating clinically important PCa as well as poor prognotic factors such as extracapsular extension, lymphovascular invasion, and seminal vesicle invasion that may indicate a higher risk of recurrence and the need for additional treatment.

Indexed as

HistopathologyMultiparametric magnetic resonance imaging prostatePIRADSProstate neoplasms

Identifiers

PMID32257972
PMCPMC7125386
OpenAlexW3005238295

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.