Evidence map›Paper›PMID 35301397›Full record

ArticleScientific reports2022

Neuroimaging reveals distinct brain glucose metabolism patterns associated with morphine consumption in Lewis and Fischer 344 rat strains.

Mª Luisa Soto-Montenegro, Verónica García-Vázquez, Nicolás Lamanna-Rama, Gonzalo López-Montoya, Manuel Desco, Emilio Ambrosio

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 38% 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, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
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 4 institutions in 1 country.

Mª Luisa Soto-MontenegroInstituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain. marisa@hggm.es.
Verónica García-VázquezInstituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
Nicolás Lamanna-RamaInstituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
Gonzalo López-MontoyaInstituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
Manuel DescoInstituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain. desco@hggm.es.
Emilio AmbrosioDepartamento de Psicobiología, Facultad de Psicología, Universidad de Educación Nacional a Distancia (UNED), Madrid, Spain. eambrosio@psi.uned.es.
Hospital General Universitario Gregorio Marañón · ESNational University of Distance Education · ESCentro de Investigación Biomédica en Red de Salud Mental · ESUniversidad Carlos III de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vulnerability to addiction may be given by the individual's risk of developing an addiction during their lifetime. A challenge in the neurobiology of drug addiction is understanding why some people become addicted to drugs. Here, we used positron emission tomography (PET) and statistical parametric mapping (SPM) to evaluate changes in brain glucose metabolism in response to chronic morphine self-administration (MSA) in two rat strains with different vulnerability to drug abuse, Lewis (LEW) and Fischer 344 (F344). Four groups of animals were trained to self-administer morphine or saline for 15 days. 2-deoxy-2-[

Indexed as

GlucoseMorphineAnimalsBrainHumansNeuroimagingRatsRats, Inbred F344Rats, Inbred LewSpecies SpecificityTomography, X-Ray ComputedGlucoseMorphine

Identifiers

PMID35301397
PMCPMC8931060
OpenAlexW4221023816

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.