Evidence map›Paper›PMID 37910188›Full record

ArticlePediatric radiology2023

Semiquantitative analysis of cerebral [

Álvaro Cruz-Cortes, Arturo Avendaño-Estrada, Sarael Alcauter, Juan Carlos Núñez-Enríquez, Belen Rivera-Bravo, Miguel Ángel Olarte-Casas, Miguel Ángel Ávila-Rodríguez

Open access · hybridAbstract read
In one paragraph

Article in Pediatric radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

7 authors at 2 institutions in 1 country.

Álvaro Cruz-CortesUnidad de Radiofarmacia-Ciclotrón, División de Investigación, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico.
Arturo Avendaño-EstradaUnidad de Radiofarmacia-Ciclotrón, División de Investigación, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico. arturoae@ciencias.unam.mx.ORCID 0000-0002-7089-4797
Sarael AlcauterInstituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro City, Mexico.
Juan Carlos Núñez-EnríquezUnidad de Investigación Médica en Epidemiología Clínica, UMAE Hospital de Pediatría, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Ciudad de Mexico, Mexico.
Belen Rivera-BravoDivisión de Investigación Facultad de Medicina Universidad Nacional Autónoma de México, Unidad PET/CT, Ciudad de Mexico, Mexico.
Miguel Ángel Olarte-CasasDivisión de Investigación Facultad de Medicina Universidad Nacional Autónoma de México, Unidad PET/CT, Ciudad de Mexico, Mexico.
Miguel Ángel Ávila-RodríguezUnidad de Radiofarmacia-Ciclotrón, División de Investigación, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico.
Universidad Nacional Autónoma de México · MXMexican Social Security Institute · MX

Funding

SECTEI 226/2021
6 · The paper itself

Abstract

backgroundGlycolytic metabolism in the brain of pediatric patients, imaged with [

objectiveThe purpose of the current study was to characterize [ MATERIALS AND

methodsSeven hundred ninety-five [

resultsAt all evaluated ages, the occipital lobe showed the highest [

conclusionsBrain glycolytic metabolism of [

Indexed as

Fluorodeoxyglucose F18Positron-Emission TomographyAdolescentBrainChildFemaleHealthy VolunteersHumansMaleRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticals[18F]FDG-PETBrain metabolismChildren brainDevelopmentNeuroimagingSUV

Identifiers

PMID37910188
PMCPMC10698097
OpenAlexW4388133327

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.