Evidence map›Paper›PMID 32641087›Full record

ArticleBMC psychiatry2020

The ADHD teen integrative data analysis longitudinal (TIDAL) dataset: background, methodology, and aims.

Margaret H Sibley, Stefany J Coxe

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Harmonizing Depression Measures Across Studies: a Tutorial for Data Harmonization.Prevention science : the official journal of the Society for Prevention Research · 2023
    Article
  3. Article
  4. Article
  5. Utilizing Moderated Non-linear Factor Analysis Models for Integrative Data Analysis: A Tutorial.Structural equation modeling : a multidisciplinary journal · 2023
    Article
  6. Mediators of psychosocial treatment for adolescent ADHD.Journal of consulting and clinical psychology · 2022
    Article
  7. Article
  8. 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

2 authors at 2 institutions in 1 country.

Margaret H SibleyDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle Children's Research Insitute, 2001 8th Ave., Suite 400, Seattle, WA, 98117, USA. margaret.sibley@seattlechildrens.org.
Stefany J CoxeDepartment of Psychology, Florida International University, 11200 SW 8th Street, Miami, FL, 33199, USA.
Florida International University · USUniversity of Washington · US

Funding

Effectiveness of MI Enhanced Behavior Therapy for Adolescents with ADHDR01MH106587 · NIMH · SEATTLE CHILDREN'S HOSPITAL · PI SIBLEY, MARGARET HARPER · 2015 to 2018
$1.7M
Increasing Academic Success in Middle School Students with ADHDR34MH092466 · NIMH · FLORIDA INTERNATIONAL UNIVERSITY · PI PELHAM, WILLIAM E, SIBLEY, MARGARET HARPER · 2012 to 2014
$636k
Integrative Data Analysis of Psychosocial Treatment Studies for Adolescent ADHDR03MH116397 · NIMH · SEATTLE CHILDREN'S HOSPITAL · PI COXE, STEFANY JEAN, SIBLEY, MARGARET HARPER · 2018 to 2019
$151k
NIMH NIH HHS R01 MH106587NIMH NIH HHS R03 MH116397NIMH NIH HHS R34 MH092466
6 · The paper itself

Abstract

backgroundThe Attention Deficit Hyperactivity Disorder (ADHD) Teen Integrative Data Analysis Longitudinal (TIDAL) dataset integrates data from four randomized trials.

methodParticipants with ADHD (N = 854; 72.5% male, 92.5% racial/ethnic minority, ages 10-17) were assessed three times across 12 months. Data includes parent, self, and teacher ratings, observations, and school records. The battery was harmonized using an Integrative Data Analysis (IDA) approach to form variables that assign unique values to all participants.

resultsThe data will be used to investigate: (1) profiles that organize the heterogeneous population into clinically meaningful subgroups, (2) whether these profiles predict treatment response, (3) heterogeneity in treatment response and variables that predict this response, (4) how treatment characteristics and adjunctive supports predict treatment response, and (5) mediators of treatment and whether these mechanisms are moderated by treatment characteristics.

conclusionsThe ADHD TIDAL Dataset will be openly shared with the field to maximize its utility.

Indexed as

Attention Deficit Disorder with HyperactivityAdolescentData AnalysisEthnicityFemaleHumansInfantMaleMinority GroupsParentsADHDAdolescenceInterventionLongitudinal data

Identifiers

PMID32641087
PMCPMC7346648
OpenAlexW3041152692

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.