Evidence map›Paper›PMID 39623212›Full record

ArticleEJNMMI research2024

PET imaging of GABA

Faïza Maloum-Rami, Pierre Cheung, Gunnar Antoni, Zhe Jin, Olof Eriksson, Daniel Espes

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EJNMMI research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Faïza Maloum-RamiDepartment of Medical Cell Biology, Department of Medical Sciences, Science for Life Laboratory, Uppsala University, Box 571, 75123, Uppsala, Sweden.
Pierre CheungDepartment of Medicinal Chemistry, Science for Life Laboratory, Uppsala University, Dag Hammarskjölds Väg 14C, 3Tr, 75183, Uppsala, Sweden.
Gunnar AntoniDepartment of Medicinal Chemistry, Science for Life Laboratory, Uppsala University, Dag Hammarskjölds Väg 14C, 3Tr, 75183, Uppsala, Sweden.
Zhe JinDepartment of Medical Cell Biology, Department of Medical Sciences, Science for Life Laboratory, Uppsala University, Box 571, 75123, Uppsala, Sweden.
Olof Eriksson *Department of Medicinal Chemistry, Science for Life Laboratory, Uppsala University, Dag Hammarskjölds Väg 14C, 3Tr, 75183, Uppsala, Sweden. olof.eriksson@ilk.uu.se.ORCID http://orcid.org/0000-0002-2515-8790
Daniel Espes *Department of Medical Cell Biology, Department of Medical Sciences, Science for Life Laboratory, Uppsala University, Box 571, 75123, Uppsala, Sweden. daniel.espes@scilifelab.uu.se.

Funding

Vetenskapsrådet 2020-02312
6 · The paper itself

Abstract

backgroundType 1 diabetes (T1D) is an autoimmune disease characterized by a progressive β-cell destruction. There are no clinically established methods for quantifying endocrine cells of the pancreas and current knowledge is almost exclusively based on autopsy material and functional measurements. Based on the expression of the γ-aminobutyric acid A receptors (GABA

resultsStrong specific in vivo uptake of [

conclusionsOur findings suggest that [

Indexed as

Endocrine-cell mass imagingExocrine pancreasFlumazenilGABAA receptorsPancreatic isletPET imagingSubunitsType 1 diabetesType 2 diabetes

Identifiers

PMID39623212
PMCPMC11612099

What Socratic 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 Socratic graph.