Evidence map›Paper›PMID 34884181›Full record

ArticleJournal of clinical medicine2021

Volumetric Alterations of the Cerebral Cortex in Eating Disorders.

Laura Vidal, Miguel A Ortega, Miguel Angel Alvarez-Mon, Melchor Álvarez-Mon, Guillermo Lahera

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Laura VidalDepartment of Medicine and Medical Specialities, University of Alcala, 28801 Alcalá de Henares, Spain.
Miguel A OrtegaDepartment of Medicine and Medical Specialities, University of Alcala, 28801 Alcalá de Henares, Spain.ORCID 0000-0003-2588-1708
Miguel Angel Alvarez-MonDepartment of Medicine and Medical Specialities, University of Alcala, 28801 Alcalá de Henares, Spain.
Melchor Álvarez-MonDepartment of Medicine and Medical Specialities, University of Alcala, 28801 Alcalá de Henares, Spain.ORCID 0000-0003-1309-7510
Guillermo LaheraDepartment of Medicine and Medical Specialities, University of Alcala, 28801 Alcalá de Henares, Spain.ORCID 0000-0002-6152-3564
Universidad de Alcalá · ES

Funding

METHADONE TREATMENT: A STUDY OF A COUNTY POLICY CHANGER01DA003804 · NIDA · SCIENTIFIC ANALYSIS CORPORATION · PI ROSENBAUM, MARSHA · 1985 to 1989
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Comunidad de Madrid B2017/BMD3804Instituto de Salud Carlos III PI18/01726
6 · The paper itself

Abstract

Eating disorders are relatively frequent psychiatric disorders that can produce serious consequences at the brain level. In an effort to clarify the neurobiological mechanisms of their pathogenesis, some studies have suggested the existence of modifications of the cortical architecture in eating disorders, but it is unknown whether the alterations described are a cause or consequence of eating disorders. The main objective of this systematic review is to collect the evidence available about the volumetric alterations of the cerebral cortex in eating disorders in adults and their apparent relationship with the pathogenesis of the disease. Initially, 91 articles were found by a search that included the terms anorexia nervosa (AN), bulimia nervosa (BN), binge eating disorder, gray matter, cortical thickness (CT), and brain volume. To pare down the articles, the following inclusion criteria were applied: (1) cortical thickness and/or gray matter volume (GMV) in patients with anorexia, bulimia nervosa, or binge-eating disorder was the main measure of the study; and (2) the sample was adult patients aged 18-65. The exclusion criteria were as follows: (1) articles that did not analyze cortical thickness or gray matter volume; (2) studies with patients with comorbidities; and (3) studies in patients who did not meet the DSM-IV/DSM-V criteria. In the first phase of selection, we proceeded to read the titles and abstracts as a first screen, thereby excluding 62 studies, followed by a complete critical reading of the 29 remaining articles. In this last phase, nine studies were excluded because they did not specify the eating disorder subtype, they included adolescents, or they did not measure GMV or CT. Finally, after the above systematic selection process, 20 articles were included in this review. Despite the methodological heterogeneity of the studies, there was some agreement between them. They showed an overall reduction in GMV in eating disorders, as well as alterations in certain regions of the cerebral cortex. Some of the most often mentioned cortical areas were the frontal, cingulate, and right orbitofrontal cortices, the precuneus, the right insula, and some temporoparietal gyri in cases of AN, with greater cortical involvement in frontotemporal and medial orbitofrontal regions in BN and binge eating disorder. Likewise, certain cortical regions, such as the left inferior frontal gyrus, the precuneus, the right superior motor area, the cingulate cortex, the insula, and the medial orbitofrontal sulcus, often remained altered after recovery from AN, making them potential cortical areas involved in the etiopathogenesis of AN. A reduction in GMV in specific areas of the CNS can inform us about the neurobiological mechanisms that underlie eating disorders as well as give us a better understanding of their possible consequences at the brain level.

Indexed as

anorexia nervosabinge eating disorderbulimia nervosacortical morphometrycortical thicknesscortical volumetryeating disordersgray mattervoxel-based morphometry

Identifiers

PMID34884181
PMCPMC8658332
OpenAlexW3215708327

What OpenQuestion holds

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Registered trials

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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.