Evidence map›Paper›PMID 34847615›Full record

ArticleJournal of child psychology and psychiatry, and allied disciplines2022

Clinical utility of family history of depression for prognosis of adolescent depression severity and duration assessed with predictive modeling.

Lisa S Gorham, Neda Sadeghi, Lillian Eisner, Jeremy Taigman, Katherine Haynes, Karen Qi, Christopher C Camp, Payton Fors, Diana Rodriguez, Jerry McGuire and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of child psychology and psychiatry, and allied disciplines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Test-Retest Reliability of Functional Connectivity in Adolescents With Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024
    Article
  4. Article
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

16 authors at 1 institution in 2 countries.

Lisa S GorhamSection of Clinical and Computational Psychiatry, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-5150-8176
Neda SadeghiSection of Clinical and Computational Psychiatry, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-5213-1614
Lillian EisnerSection of Clinical and Computational Psychiatry, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0001-9236-9400
Jeremy TaigmanSection of Clinical and Computational Psychiatry, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0003-3637-6889
Katherine HaynesSection of Clinical and Computational Psychiatry, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-9210-926X
Karen QiSection of Clinical and Computational Psychiatry, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-6395-2530
Christopher C CampSection of Clinical and Computational Psychiatry, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0003-2960-8872
Payton ForsSection of Clinical and Computational Psychiatry, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0001-7765-9637
Diana RodriguezSection of Clinical and Computational Psychiatry, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Jerry McGuireSection of Clinical and Computational Psychiatry, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Erin GarthSection of Clinical and Computational Psychiatry, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Chana EngelSection of Clinical and Computational Psychiatry, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Mollie DavisSection of Clinical and Computational Psychiatry, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Kenneth TowbinSection of Clinical and Computational Psychiatry, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0003-3180-0695
Argyris StringarisSection of Clinical and Computational Psychiatry, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-6264-8377
Dylan M NielsonSection of Clinical and Computational Psychiatry, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0003-4613-6643
National Institutes of Health · US

Funding

Mood, Brain, and Development UnitZIAMH002957 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI STRINGARIS, ARGYRIOS · 2017 to 2022
$14.8M
Machine Learning TeamZICMH002968 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PEREIRA, FRANCISCO · 2018 to 2025
$13.9M
Intramural NIH HHS ZIA MH002957
6 · The paper itself

Abstract

backgroundFamily history of depression (FHD) is a known risk factor for the new onset of depression. However, it is unclear if FHD is clinically useful for prognosis in adolescents with current, ongoing, or past depression. This preregistered study uses a longitudinal, multi-informant design to examine whether a child's FHD adds information about future depressive episodes and depression severity applying state-of-the-art predictive out-of-sample methodology.

methodsWe examined data in adolescents with current or past depression (age 11-17 years) from the National Institute of Mental Health Characterization and Treatment of Adolescent Depression (CAT-D) study. We asked whether a history of depression in a first-degree relative was predictive of depressive episode duration (72 participants) and future depressive symptom severity in probands (129 participants, 1,439 total assessments).

resultsFamily history of depression, while statistically associated with time spent depressed, did not improve predictions of time spent depressed, nor did it improve models of change in depression severity measured by self- or parent-report.

conclusionsFamily history of depression does not improve the prediction of the course of depression in adolescents already diagnosed with depression. The difference between statistical association and predictive models highlights the importance of assessing predictive performance when evaluating questions of clinical utility.

Indexed as

DepressionHumansLongitudinal StudiesPrognosisRisk FactorsadolescenceDepressionfamily historylongitudinal studies

Identifiers

PMID34847615
PMCPMC9541414
OpenAlexW3215499896

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.