Evidence map›Paper›PMID 32761380›Full record

ArticleWorld journal of urology2021

The predictive value of the prostate health index vs. multiparametric magnetic resonance imaging for prostate cancer diagnosis in prostate biopsy.

Jiří Stejskal, Vanda Adamcová, Miroslav Záleský, Vojtěch Novák, Otakar Čapoun, Vojtěch Fiala, Olga Dolejšová, Hana Sedláčková, Štěpán Veselý, Roman Zachoval

Abstract readComparative StudyMulticenter Study
PubMed Publisher
In one paragraph

Article in World journal of urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Jiří StejskalDepartment of Urology, 3rd Faculty of Medicine of Charles University and Thomayer Hospital, Vídeňská 800, Prague, 14059, Czech Republic. jiri.stejskal@ftn.cz.ORCID http://orcid.org/0000-0001-8488-4314
Vanda AdamcováDepartment of Urology, 3rd Faculty of Medicine of Charles University and Thomayer Hospital, Vídeňská 800, Prague, 14059, Czech Republic.
Miroslav Záleský1st Faculty of Medicine, Charles University, Prague, Czech Republic.
Vojtěch NovákDepartment of Urology, 2nd Faculty of Medicine of Charles University, University Hospital Motol, Prague, Czech Republic.
Otakar ČapounDepartment of Urology, 1st Faculty of Medicine of Charles university, General Universtity Hospital, Prague, Czech Republic.
Vojtěch FialaDepartment of Urology, 1st Faculty of Medicine of Charles university, General Universtity Hospital, Prague, Czech Republic.
Olga DolejšováDepartment of Urology, Faculty of Medicine in Pilsen, Charles University, University Hospital in Pilsen, Pilsen, Czech Republic.
Hana SedláčkováDepartment of Urology, Faculty of Medicine in Pilsen, Charles University, University Hospital in Pilsen, Pilsen, Czech Republic.
Štěpán VeselýDepartment of Urology, 2nd Faculty of Medicine of Charles University, University Hospital Motol, Prague, Czech Republic.
Roman ZachovalDepartment of Urology, 3rd Faculty of Medicine of Charles University and Thomayer Hospital, Vídeňská 800, Prague, 14059, Czech Republic.
Charles University · CZ

Funding

Ministerstvo Zdravotnictví Ceské Republiky 15-27047A
6 · The paper itself

Abstract

purposeTo compare the ability of Prostate Health Index (PHI) to diagnose csPCa, with that of total PSA, PSA density (PSAD) and the multiparametric magnetic resonance (mpMRI) of the prostate.

methodsWe analysed a group of 395 men planned for a prostate biopsy who underwent a mpMRI of the prostate evaluated using the PIRADS v1 criteria. All patients had their PHI measured before prostate biopsy. In patients with an mpMRI suspicious lesions, an mpMRI/ultrasound software fusion-guided biopsy was performed first, with 12 core systematic biopsy performed in all patients. A ROC analysis was performed for PCa detection for total PSA, PSAD, PIRADS score and PHI; with an AUC curve calculated for all criteria and a combination of PIRADS score and PHI. Subsequent sub-analyses included patients undergoing first and repeat biopsy.

resultsThe AUC for predicting the presence of csPCa in all patients was 59.5 for total PSA, 69.7 for PHI, 64.9 for PSAD and 62.5 for PIRADS. In biopsy naive patients it was 61.6 for total PSA, 68.9 for PHI, 64.6 for PSAD and 63.1 for PIRADS. In patients with previous negative biopsy the AUC for total PSA, PHI, PSAD and PIRADS was 55.4, 71.2, 64.4 and 69.3, respectively. Adding of PHI to PIRADS increased significantly (p = 0.007) the accuracy for prediction of csPCa.

conclusionProstate Health Index could serve as a tool in predicting csPCa. When compared to the mpMRI, it shows comparable results. The PHI cannot, however, help us guide prostate biopsies in any way, and its main use may, therefore, be in pre-MRI or pre-biopsy triage.

Indexed as

Multiparametric Magnetic Resonance ImagingAgedHumansImage-Guided BiopsyMaleMiddle AgedPredictive Value of TestsProstatic NeoplasmsRetrospective StudiesMRIPIRADSProstate cancerProstate health indexProstate MRIPSA densityTRUS fusion biopsy

Identifiers

PMID32761380
OpenAlexW3047175805

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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.