Evidence map›Paper›PMID 37109101›Full record

ArticleJournal of clinical medicine2023

Towards an Automated Approach to the Semi-Quantification of [

Enrico Peira, Francesco Sensi, Luca Rei, Ruben Gianeri, Domenico Tortora, Francesco Fiz, Arnoldo Piccardo, Gianluca Bottoni, Giovanni Morana, Andrea Chincarini

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

10 authors at 4 institutions in 1 country.

Enrico PeiraIstituto Nazionale di Fisica Nucleare (INFN), 16146 Genoa, Italy.ORCID 0000-0002-5834-8101
Francesco SensiIstituto Nazionale di Fisica Nucleare (INFN), 16146 Genoa, Italy.ORCID 0000-0002-5129-5713
Luca ReiIstituto Nazionale di Fisica Nucleare (INFN), 16146 Genoa, Italy.
Ruben GianeriIstituto Nazionale di Fisica Nucleare (INFN), 16146 Genoa, Italy.
Domenico TortoraNeuroradiology Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy.ORCID 0000-0002-5621-4046
Francesco FizS.C. di Medicina Nucleare, E.O. Ospedali Galliera, 16128 Genoa, Italy.ORCID 0000-0003-3932-1330
Arnoldo PiccardoS.C. di Medicina Nucleare, E.O. Ospedali Galliera, 16128 Genoa, Italy.ORCID 0000-0002-6779-1471
Gianluca BottoniS.C. di Medicina Nucleare, E.O. Ospedali Galliera, 16128 Genoa, Italy.
Giovanni MoranaDepartment of Neurosciences, University of Turin, 10124 Turin, Italy.
Andrea ChincariniIstituto Nazionale di Fisica Nucleare (INFN), 16146 Genoa, Italy.ORCID 0000-0003-4094-9942
Istituto Nazionale di Fisica Nucleare · ITEnte Ospedaliero Ospedali Galliera · ITIstituto Giannina Gaslini · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to evaluate the use of a computer-aided, semi-quantification approach to [

methodsA total of 18 pediatric patients with PDGs underwent magnetic resonance imaging and [

resultsHigh Pearson correlation coefficients resulted between the ratios calculated with the two approaches: ρ = 0.93 (

conclusionsThis study suggested that the proposed computer-aided approach could yield similar results to the manual procedure in terms of diagnostic and prognostic information.

Indexed as

[18F]F-DOPA PETPDGspediatric oncologysemi-quantificationSUVr

Identifiers

PMID37109101
PMCPMC10142802
OpenAlexW4362733270

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.