Evidence map›Paper›PMID 40608185›Full record

ArticleChild psychiatry and human development2025

Using Machine Learning to Predict Treatment Outcome in a Concatenated Dataset of Youth Anxiety Treatments.

Lesley A Norris, Marija Stanojevic, Laura C Skriner, Brian C Chu, Marianne Aalberg, Wendy K Silverman, Denise Bodden, John C Piacentini, Zoran Obradovic, Philip C Kendall

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Child psychiatry and human development, 2025. 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

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

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

10 authors.

Lesley A NorrisDepartment of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA. Lesley.norris@brown.edu.
Marija StanojevicCambridge Cognition, Toronto, ON, Canada.
Laura C SkrinerThe Center for Stress, Anxiety, and Mood, LLC, Summit, NJ, USA.
Brian C ChuDepartment of Clinical Psychology, Graduate School of Applied and Professional Psychology, Rutgers University, Piscataway, NJ, USA.
Marianne AalbergAkershus University Hospital, Lørenskog, Norway.
Wendy K SilvermanYale University, New Haven, CT, USA.
Denise BoddenDepartment of Clinical Child and Family Studies, Utrecht University, Utrecht, The Netherlands.
John C PiacentiniDepartment of Psychiatry and Biobehavioral Sciences, University of California Los Angeles School of Medicine, Los Angeles, CA, USA.
Zoran ObradovicDepartment of Psychology, Temple University, Philadelphia, PA, USA.
Philip C KendallDepartment of Psychology, Temple University, Philadelphia, PA, USA.

Funding

RESEARCH TRAINING IN CHILD MENTAL HEALTHT32MH019927 · NIMH · RHODE ISLAND HOSPITAL (PROVIDENCE, RI) · PI Kristen G Benito, Anthony Spirito · 1994 to 2026
$7.8M
Using Machine Learning Methods to Predict Treatment Outcome for Anxious YouthF31MH123038 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI NORRIS, LESLEY ANNE · 2020 to 2021
$67k
NIMH NIH HHS F31 MH123038NIMH NIH HHS F31MH123038NIMH NIH HHS T32 MH019927
6 · The paper itself

Abstract

Machine Learning (ML) is a promising approach for predicting outcomes of youth anxiety treatments. To this end, data from nine randomized controlled trials of youth anxiety treatments were concatenated into a dataset (N = 1362; M

Indexed as

HarmonizationMachine learningPredictionYouth anxiety

Identifiers

PMID40608185
PMCPMC12805868

What OpenQuestion holds

Textmetadata
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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.