Evidence map›Paper›PMID 33258085›Full record

ArticleEJNMMI research2020

Clinical impact of digital and conventional PET control databases for semi-quantitative analysis of brain

Elise Mairal, Matthieu Doyen, Thérèse Rivasseau-Jonveaux, Catherine Malaplate, Eric Guedj, Antoine Verger

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EJNMMI research, 2020. 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
0.6field-weighted citation impact, top 29% 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, 7 citations in OpenAlex.

  1. Article
  2. Moving the goalposts while scoring-the dilemma posed by new PET technologies.European journal of nuclear medicine and molecular imaging · 2021
    Article
  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

6 authors at 5 institutions in 1 country.

Elise MairalDepartment of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU Nancy, Université de Lorraine, Rue du Morvan, 54500, Vandoeuvre-les-Nancy, France.
Matthieu DoyenDepartment of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU Nancy, Université de Lorraine, Rue du Morvan, 54500, Vandoeuvre-les-Nancy, France.
Thérèse Rivasseau-JonveauxClinical Memory and Research Center, Department of Geriatrics, CHRU Nancy, Université de Lorraine, 2LPN EA 7489, 54000, Nancy, France.
Catherine MalaplateDepartment of Biochemistry, Molecular Biology and Nutrition CHRU Nancy, Université de Lorraine, 54000, Nancy, France.
Eric GuedjAPHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, Nuclear Medicine Department, Aix Marseille Univ, Marseille, France.
Antoine VergerDepartment of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU Nancy, Université de Lorraine, Rue du Morvan, 54500, Vandoeuvre-les-Nancy, France. a.verger@chru-nancy.fr.ORCID http://orcid.org/0000-0003-2194-0328
Inserm · FRCentre de Médecine Préventive · FRCentre Hospitalier Régional et Universitaire de Nancy · FRCentre National de la Recherche Scientifique · FRUniversité de Lorraine · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDigital PET cameras markedly improve sensitivity and spatial resolution of brain

methodsWe retrospectively selected two groups of subjects, twenty-seven Alzheimer's Disease (AD) patients and twenty-two healthy control (HC) subjects. All subjects underwent a brain

resultsAt group level, SQA using digital controls detected more marked hypometabolic areas in AD (+ 116 cm

conclusionThere is an urgent need to establish specific digital PET control databases for SQA of brain

Identifiers

PMID33258085
PMCPMC7704892
OpenAlexW3109094143

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.