Evidence map›Paper›PMID 33052836›Full record

ReviewTurkish journal of urology2020

Biparametric magnetic resonance imaging in the surveillance of testicular tumors following radical orchiectomy.

Michele Scialpi, Antonio Improta, Danilo Delli Carpini, Monica Tonto, Refky Nicola, Francesco Mancioli

Open access · greenAbstract readReview
In one paragraph

Review in Turkish journal of urology, 2020. 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
0.2field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

6 authors at 3 institutions in 2 countries.

Michele ScialpiDivision of Diagnostic Imaging, Department of Surgical and Biomedical Sciences, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy.ORCID https://orcid.org/0000-0002-4842-2304
Antonio ImprotaDivision of Diagnostic Imaging, Department of Surgical and Biomedical Sciences, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy.ORCID https://orcid.org/0000-0002-5886-5395
Danilo Delli CarpiniDivision of Diagnostic Imaging, Department of Surgical and Biomedical Sciences, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy.ORCID https://orcid.org/0000-0003-4614-3536
Monica TontoDivision of Diagnostic Imaging, Department of Surgical and Biomedical Sciences, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy.ORCID https://orcid.org/0000-0003-0504-7871
Refky NicolaDepartment of Radiology, Roswell Park Cancer Institute, Radiology Buffalo, NY, USA.ORCID https://orcid.org/0000-0003-4361-7740
Francesco MancioliDivision of Radiology, Saint Maria Hospital of Terni, Terni, Italy.ORCID https://orcid.org/0000-0001-5117-3591
University of Perugia · ITRoswell Park Comprehensive Cancer Center · USSanta Maria Nuova Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computed tomography has been considered the preferred imaging modality for the surveillance of patients with testicular tumors (TTs) following radical orchiectomy. However, because of the concerns of frequent radiation exposure and intravenous iodinated contrast, biparametric magnetic resonance imaging (bpMRI) is a valid and safer alternative in the surveillance of patients with TT, instead of multiparametric magnetic resonance imaging. In this review article, we propose a protocol algorithm that utilizes bpMRI in the evaluation of patients after radical orchiectomy for TTs.

Identifiers

PMID33052836
PMCPMC7608532
OpenAlexW3091877633

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.