Evidence map›Paper›PMID 38627331›Full record

ArticleJournal of endocrinological investigation2024

Brain morphometry and estimation of aging brain in subjects with congenital untreated isolated GH deficiency.

Keila R Villar-Gouy, Carlos Ernesto Garrido Salmon, Roberto Salvatori, Michael Kellner, Miriam P O Krauss, Tâmara O Rocha, Erick Almeida de Souza, Vanderlan O Batista, Ângela C Leal, Lucas B Santos and 12 more

Abstract read
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In one paragraph

Article in Journal of endocrinological investigation, 2024. 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
1.1field-weighted citation impact, top 22% 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, 3 citations in OpenAlex.

  1. Article
  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

22 authors at 4 institutions in 3 countries.

Keila R Villar-GouyDivision of Endocrinology, Health Sciences Graduate Program, Federal University of Sergipe, Street Claudio Batista s/n, Aracaju, Sergipe, 49060-100, Brazil.
Carlos Ernesto Garrido SalmonFaculty of Philosophy, Sciences and Letters of Ribeirao Preto, University of Sao Paulo, Ribeirao Preto, SP, Brazil.
Roberto SalvatoriDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, The Johns Hopkins University School of Medicine Baltimore, Maryland, 21287, USA.
Michael KellnerDepartment of Psychiatry and Psychotherapy, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
Miriam P O KraussCentro de Medicina Integrada de Sergipe (CEMISE), Aracaju, SE, 49020-365, Brazil.
Tâmara O RochaCentro de Medicina Integrada de Sergipe (CEMISE), Aracaju, SE, 49020-365, Brazil.
Erick Almeida de SouzaFaculty of Philosophy, Sciences and Letters of Ribeirao Preto, University of Sao Paulo, Ribeirao Preto, SP, Brazil.
Vanderlan O BatistaDivision of Psychiatry, Health Sciences Graduate Program, Federal University of Sergipe, Aracaju, Sergipe, 49060-100, Brazil.
Ângela C LealDivision of Endocrinology, Health Sciences Graduate Program, Federal University of Sergipe, Street Claudio Batista s/n, Aracaju, Sergipe, 49060-100, Brazil.
Lucas B SantosDivision of Endocrinology, Health Sciences Graduate Program, Federal University of Sergipe, Street Claudio Batista s/n, Aracaju, Sergipe, 49060-100, Brazil.
Enaldo V MeloStatistics Division, Health Sciences Graduate Program, Federal University of Sergipe, Aracaju, Sergipe, 49060-100, Brazil.
Alécia A Oliveira-SantosDivision of Endocrinology, Health Sciences Graduate Program, Federal University of Sergipe, Street Claudio Batista s/n, Aracaju, Sergipe, 49060-100, Brazil.
Carla R P OliveiraDivision of Endocrinology, Health Sciences Graduate Program, Federal University of Sergipe, Street Claudio Batista s/n, Aracaju, Sergipe, 49060-100, Brazil.
Viviane C CamposDivision of Endocrinology, Health Sciences Graduate Program, Federal University of Sergipe, Street Claudio Batista s/n, Aracaju, Sergipe, 49060-100, Brazil.
Elenilde G SantosDivision of Endocrinology, Health Sciences Graduate Program, Federal University of Sergipe, Street Claudio Batista s/n, Aracaju, Sergipe, 49060-100, Brazil.
Nathalie O SantanaDivision of Endocrinology, Health Sciences Graduate Program, Federal University of Sergipe, Street Claudio Batista s/n, Aracaju, Sergipe, 49060-100, Brazil.
Francisco A PereiraDivision of Endocrinology, Health Sciences Graduate Program, Federal University of Sergipe, Street Claudio Batista s/n, Aracaju, Sergipe, 49060-100, Brazil.
Rivia S AmorimDivision of Geriatrics, Health Sciences Graduate Program, Federal University of Sergipe, Aracaju, Sergipe, 49060-100, Brazil.
José Donato-JuniorDepartment of Physiology and Biophysics, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, 05508-900, Brazil.
José Augusto Soares Barreto FilhoDivision of Cardiology, Health Sciences Graduate Program, Federal University of Sergipe, Aracaju, Sergipe, 49060-100, Brazil.
Antonio Carlos Santos *Department of Medical Imaging, Hematology and Clinical Oncology, Faculty of Medicine of Ribeirao Preto, University of Sao Paulo, Ribeirao Preto, SP, Brazil.
Manuel H Aguiar-Oliveira *Division of Endocrinology, Health Sciences Graduate Program, Federal University of Sergipe, Street Claudio Batista s/n, Aracaju, Sergipe, 49060-100, Brazil. herminio.endo@gmail.com.ORCID http://orcid.org/0000-0002-9979-9881
Universidade Federal de Sergipe · BRUniversidade de São Paulo · BRJohns Hopkins University · USUniversität Hamburg · DE

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 307576/2022-1.
6 · The paper itself

Abstract

purposeIndividuals with isolated GH deficiency (IGHD) due to a mutation in the GHRH receptor gene have a normal life expectancy and above 50 years of age, similar total cognitive performance, with better attention and executive function than controls. Our objectives were to evaluate their brain morphometry and brain aging using MRI.

methodsThirteen IGHD and 14 controls matched by age, sex, and education, were enrolled. Quantitative volumetric data and cortical thickness were obtained by automatic segmentation using Freesurfer software. The volume of each brain region was normalized by the intracranial volume. The difference between the predicted brain age estimated by MRI using a trained neuronal network, and the chronological age, was obtained. p < 0.005 was considered significant and 0.005 < p < 0.05 as a suggestive evidence of difference.

resultsIn IGHD, most absolute values of cortical thickness and regional brain volumes were similar to controls, but normalized volumes were greater in the white matter in the frontal pole and in the insula bilaterally, and in the gray matter, in the right insula and in left Caudate (p < 0.005 for all comparisons) We also noticed suggestive evidence of a larger volume in IGHD in left thalamus (p = 0.006), right thalamus (p = 0.025), right caudate (p = 0.046) and right putamen (p = 0.013). Predicted brain ages were similar between groups.

conclusionIGHD is primarily associated with similar absolute brain measurements, and a set of larger normalized volumes, and does not appear to alter the process of brain aging.

Indexed as

AgingBrainHuman Growth HormoneMagnetic Resonance ImagingAdultAgedCase-Control StudiesDwarfism, PituitaryFemaleHumansMaleMiddle AgedOrgan SizeHuman Growth HormoneAgingBrainGHGHRH receptorMagnetic resonance imaging

Identifiers

PMID38627331
OpenAlexW4394841430

What OpenQuestion holds

Textmetadata
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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.