Evidence map›Paper›PMID 39372932›Full record

ArticleResearch square2024

Time Trends in Adolescent Diagnoses of Major Depressive Disorder and Co-occurring Psychiatric Conditions in Electronic Health Records.

Marina Wilson, Hyunjoon Lee, Lorenza Dall'Aglio, Xinyun Li, Anushka Kumar, Mary K Colvin, Jordan W Smoller, William R Beardslee, Karmel W Choi

Abstract readPreprint
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Marina WilsonCenter for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital.
Hyunjoon LeeCenter for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital.
Lorenza Dall'AglioCenter for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital.
Xinyun LiCenter for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital.
Anushka KumarCenter for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital.
Mary K ColvinDepartment of Psychiatry, Massachusetts General Hospital.
Jordan W SmollerCenter for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital.
William R BeardsleeDepartment of Psychiatry, Boston Children's Hospital.
Karmel W ChoiCenter for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital.

Funding

Integrating Health Records, Genomic, and Social Data to Stratify Adolescent Depression RiskK08MH127413 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI CHOI, KARMEL · 2021 to 2025
$987k
NIMH NIH HHS K08 MH127413
6 · The paper itself

Abstract

Major depressive disorder (MDD) is highly prevalent in youth and generally characterized by psychiatric comorbidities. Secular trends in co-occurring diagnoses remain unclear, especially in healthcare settings. Using large-scale electronic health records data from a major U.S. healthcare system, we examined the prevalence of MDD diagnoses and co-occurring psychiatric conditions during adolescence (12-18 years; N = 133,753) across four generations (birth years spanning 1985 to 2002) and by sex. Then using a phenome-wide association analysis, we explored which of 67 psychiatric conditions were associated with adolescent MDD diagnosis in earlier versus recent generations. Adolescent MDD diagnosis prevalence increased (8.9 to 11.4%) over time. Over 60% with an MDD diagnosis had co-occurring psychiatric diagnoses, especially neurodevelopmental and anxiety disorders. Co-occurring diagnoses generally increased over time, especially for anxiety disorders (14 to 50%) and suicidal behaviors (6 to 23%), across both sexes. Eight comorbidities interacted with generation, showing stronger associations with MDD diagnosis in earlier (e.g., conduct disorder) versus more recent (e.g., suicidal ideation and behaviors) generations. The findings underscore the importance of assessing psychiatric complexity in adolescents diagnosed with MDD, applying transdiagnostic approaches to address co-occurring presentations, and further investigating potential causes for generational increases.

Indexed as

adolescencecomorbiditydepressionelectronic health recordsmajor depressive disordertime trends

Identifiers

PMID39372932
PMCPMC11451741

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.