Evidence map›Paper›PMID 30457245›Full record

ReviewActa clinica Croatica2018

Role of Multiparametric Magnetic Resonance Imaging in Prostate Cancer Assessment.

Igor Tomašković, Matej Knežević, Ivan Pezelj, Karolina Bolanča Čulo, Luka Novosel, Sven Nikles, Miroslav Tomić, Danijel Justinić, Josip Ninčević, Matea Pirša and 1 more

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Acta clinica Croatica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

11 authors at 1 institution in 1 country.

Igor TomaškovićDepartment of Urology, Sestre milosrdnice University Hospital Center, Zagreb.
Matej KneževićDepartment of Urology, Sestre milosrdnice University Hospital Center, Zagreb.
Ivan PezeljDepartment of Urology, Sestre milosrdnice University Hospital Center, Zagreb.
Karolina Bolanča ČuloDepartment of Radiology, Sestre milosrdnice University Hospital Center.
Luka NovoselDepartment of Radiology, Sestre milosrdnice University Hospital Center.
Sven NiklesDepartment of Urology, Sestre milosrdnice University Hospital Center, Zagreb.
Miroslav TomićDepartment of Urology, Sestre milosrdnice University Hospital Center, Zagreb.
Danijel JustinićDepartment of Urology, Sestre milosrdnice University Hospital Center, Zagreb.
Josip NinčevićDepartment of Radiology, Sestre milosrdnice University Hospital Center.
Matea PiršaDepartment of Urology, Sestre milosrdnice University Hospital Center, Zagreb.
Boris RužićDepartment of Urology, Sestre milosrdnice University Hospital Center, Zagreb.
University of Osijek · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiparametric magnetic resonance is assuming an increasingly important role in the diagnosis, initial assessment and monitoring of patients with prostate cancer. This paper offers a more complex insight into the application of magnetic resonance imaging with prostate cancer, with a current literature overview. The focus is on the problem of initial prostate cancer evaluation which strongly affects further decision-making and therapeutic interventions. Clinical suggestions based on the current guidelines are also offered.

Indexed as

Magnetic Resonance ImagingProstatic NeoplasmsHumansMagnetic Resonance SpectroscopyMaleProspective StudiesCancer stagingDiagnostic imagingGuidelinesMagnetic resonanceProstate cancerRadical prostatectomy

Identifiers

PMID30457245
PMCPMC12231103
OpenAlexW2930360785

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.