Evidence map›Paper›PMID 38937058›Full record

ArticleBehavior therapy2024

What CBT Modules Work Best for Whom? Identifying Subgroups of Depressed Youths by Their Differential Response to Specific Modules.

Jennifer Frederick, Mei Yi Ng, Matthew J Valente, Katherine Venturo-Conerly, John R Weisz

Abstract read
In one paragraph

Article in Behavior therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Jennifer FrederickFlorida International University. Electronic address: jfred029@fiu.edu.
Mei Yi NgFlorida International University.
Matthew J ValenteUniversity of South Florida.
Katherine Venturo-ConerlyHarvard University.
John R WeiszHarvard University.

Funding

Identifying Person-Specific Drivers of Adolescent Depression via Idiographic Network Modeling of Active and Passive Smartphone DataR21MH126394 · NIMH · FLORIDA INTERNATIONAL UNIVERSITY · PI NG, MEI YI · 2021 to 2022
$422k
Enhancing Clinical Decision-Making in Modular Youth PsychotherapyF31MH134555 · NIMH · HARVARD UNIVERSITY · PI VENTURO-CONERLY, KATHERINE ELIZABETH · 2023 to 2024
$75k
NIMH NIH HHS F31 MH134555NIMH NIH HHS R21 MH126394
6 · The paper itself

Abstract

Prior research suggests that the effects of specific cognitive-behavioral therapy (CBT) modules on symptom outcomes can be estimated. We conducted a study utilizing idiographic and nomothetic methods to clarify which CBT modules are most effective for youth depression, and for whom they are most effective. Thirty-five youths received modular CBT for depression. Interrupted time series models estimated whether the introduction of each module was associated with changes in internalizing symptoms, whereby significant symptom reduction would suggest a therapeutic response to the module. Regression models were used to explore whether participant characteristics predicted subgroups of youths based on their estimated response to certain types (e.g., cognitive) of modules, and whether group membership was associated with posttreatment outcomes. Thirty youths (86%) had at least one module associated with a significant change in internalizing symptoms from premodule delivery to postmodule delivery. The specific modules associated with these changes varied across youths. Behavioral activation was most frequently associated with symptom decreases (34% of youths). No participant characteristics predicted estimated response to module type, and group membership was not significantly associated with posttreatment outcomes. Youths display highly heterogeneous responses to treatment modules, indicating multiple pathways to symptom improvement for depressed youths.

Indexed as

Cognitive Behavioral TherapyAdolescentChildDepressionDepressive DisorderFemaleHumansMaleTreatment Outcomechild psychopathologycognitive-behavioral therapyideographic analysesmajor depressionprecision medicine

Identifiers

PMID38937058
PMCPMC11211639

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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.