Evidence map›Paper›PMID 37877822›Full record

ArticleUrology research & practice2023

Staging of Prostate Cancer: Role of Multiparametric Magnetic Resonance Imaging in Different Risk Classes.

Francesco Saverio Guerra, Laura Eusebi, Francesco Bartelli, Sara Cecchini, Enrico Paci, Giuseppe Guglielmi

Open access · diamondAbstract read
In one paragraph

Article in Urology research & practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 4 institutions in 2 countries.

Francesco Saverio GuerraDepartment of Clinical and Experimental Medicine, Foggia University School of Medicine, Foggia, Italy.
Laura EusebiRadiology Hospital "Carlo Urbani", Jesi, Italy.
Francesco BartelliRadiology Hospital "Carlo Urbani", Jesi, Italy.
Sara CecchiniDiagnostic Imaging, Clinical and Interventional Radiology, IRCCS INRCA, Ancona, Italy.
Enrico PaciDiagnostic Imaging, Clinical and Interventional Radiology, IRCCS INRCA, Ancona, Italy.
Giuseppe GuglielmiDepartment of Clinical and Experimental Medicine, Foggia University School of Medicine, Foggia, Italy; Radiology Unit, "Dimiccoli" Hospital, Barletta, Italy; Department of Radiology, Hospital IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, FG, Italy.
Carle Foundation Hospital · USIstituti di Ricovero e Cura a Carattere Scientifico · ITCasa Sollievo della Sofferenza · ITUniversity of Foggia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using multiparametric magnetic resonance imaging, it is now possible to diagnose prostate cancer and categorize its risk. As it can accurately determine the extracapsu- lar extension of the tumor, invasion of seminal vesicles, involvement of lymph nodes, and the potential presence of bone metastases, multiparametric magnetic resonance imaging plays a crucial role not only in the diagnosis but also in the local staging of prostate cancer. The patients with a history of negative biopsy/increasing prostate- specific antigen and the existence of further data supporting its use in biopsy-naive patients and active surveillance are the most blatant indications for multiparametric magnetic resonance imaging in guidelines. The traditional clinical examination, pros- tate-specific antigen tests, and systematic biopsy are all enhanced by multiparametric magnetic resonance imaging, which will miss certain cancers due to insufficient size or changes in tissue density. The use of multiparametric magnetic resonance imaging is expected to rise, and further advances in the method will be crucial for the secure adoption of targeted therapeutic ideas. Here, we give a succinct overview of multipa- rametric magnetic resonance imaging's application to the identification and risk clas- sification of prostate cancer.

Identifiers

PMID37877822
PMCPMC10541521
OpenAlexW4385456732

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.