Evidence map›Paper›PMID 39381609›Full record

ArticleFrontiers in psychiatry2024

Depression severity and verbal comprehension in children and adolescents with a major depressive episode.

Monia Trasolini, Giulia Serra, Maria Elena Iannoni, Elisa Andracchio, Massimo Apicella, Gino Maglio, Deny Menghini, Stefano Vicari

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 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

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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

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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. 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

8 authors.

Monia TrasoliniChild & Adolescent Neuropsychiatry Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
Giulia SerraChild & Adolescent Neuropsychiatry Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
Maria Elena IannoniChild & Adolescent Neuropsychiatry Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
Elisa AndracchioChild & Adolescent Neuropsychiatry Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
Massimo ApicellaChild & Adolescent Neuropsychiatry Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
Gino MaglioChild & Adolescent Neuropsychiatry Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
Deny MenghiniChild & Adolescent Neuropsychiatry Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
Stefano VicariChild & Adolescent Neuropsychiatry Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Severe depression is a prevalent psychiatric illness in children and adolescents associated with high levels of morbidity, disability, and a high risk of suicidal behavior. Cognitive factors associated with depression severity in juveniles have been poorly reported. Methods: We investigated the relationship between depression severity and intelligence quotient (IQ)with its subscales in 65 juveniles (aged 10-17 years) with a current major depressive episode evaluated at the Mood Disorder Program of Bambino Gesù Children's Hospital in Rome. Pearson's correlation analyses were followed by a Benjamini-Hochberg correction and linear multivariable regression model. Results: Depression severity measured with the total score of the Children's Depression Rating Scale-Revised (CDRS-R) was positively associated with the Verbal Comprehension Index (VCI; Pearson's r = 0.309 [0.042-0.534]; p = 0.024). The CDRS-R subscales positively associated with VCI by Pearson's correlation were depressed feelings, suicidal ideation, excessive weeping, and reduced facial expressions. Suicidal ideation was the only factor independently and significantly associated with higher VCI in the multivariable linear regression model. Discussion: Suicidal ideation was significantly and independently associated with higher verbal comprehension, indicating that depressed juveniles with better verbal ability may be at a greater risk of showing suicidal ideation.

Indexed as

adolescentbipolar disordercognitiondepressionintelligent quotientsuicidal ideationverbal comprehension

Identifiers

PMID39381609
PMCPMC11458534

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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.