Evidence map›Paper›PMID 24882182›Full record

ArticleJournal of affective disorders2014

Further evidence that severe scores in the aggression/anxiety-depression/attention subscales of child behavior checklist (severe dysregulation profile) can screen for bipolar disorder symptomatology: a conditional probability analysis.

Mai Uchida, Stephen V Faraone, MaryKate Martelon, Tara Kenworthy, K Yvonne Woodworth, Thomas J Spencer, Janet R Wozniak, Joseph Biederman

Abstract read
In one paragraph

Article in Journal of affective disorders, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

8 authors.

Mai UchidaClinical and Research Programs in Pediatric Psychopharmacology and ADHD, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
Stephen V FaraoneDepartments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA.
MaryKate MartelonClinical and Research Programs in Pediatric Psychopharmacology and ADHD, Massachusetts General Hospital, Boston, MA, USA.
Tara KenworthyClinical and Research Programs in Pediatric Psychopharmacology and ADHD, Massachusetts General Hospital, Boston, MA, USA.
K Yvonne WoodworthClinical and Research Programs in Pediatric Psychopharmacology and ADHD, Massachusetts General Hospital, Boston, MA, USA.
Thomas J SpencerClinical and Research Programs in Pediatric Psychopharmacology and ADHD, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
Janet R WozniakClinical and Research Programs in Pediatric Psychopharmacology and ADHD, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
Joseph BiedermanClinical and Research Programs in Pediatric Psychopharmacology and ADHD, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA. Electronic address: jbiederman@partners.org.

Funding

OUTCOME OF ATTENTION DEFICIT HYPERACTIVITY DISORDERR01HD036317 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI BIEDERMAN, JOSEPH · 1998 to 2007
$4.0M
LONGITUDINAL FOLLOW UP OF ADHD GIRLS AND THEIR SIBLINGSR01MH050657 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BIEDERMAN, JOSEPH · 1993 to 2002
$1.5M
NICHD NIH HHS R01 HD036317NICHD NIH HHS R01HD36317NIMH NIH HHS R01 MH050657NIMH NIH HHS R01MH50657
6 · The paper itself

Abstract

backgroundPrevious work shows that children with high scores (2SD, combined score≥210) on the Attention Problems, Aggressive Behavior, and Anxious-Depressed (A-A-A) subscales of the Child Behavior Checklist (CBCL) are more likely than other children to meet criteria for bipolar (BP)-I disorder. However, the utility of this profile as a screening tool has remained unclear.

methodsWe compared 140 patients with pediatric BP-I disorder, 83 with attention deficit hyperactivity disorder (ADHD), and 114 control subjects. We defined the CBCL-Severe Dysregulation profile as an aggregate cutoff score of ≥210 on the A-A-A scales. Patients were assessed with structured diagnostic interviews and functional measures.

resultsPatients with BP-I disorder were significantly more likely than both control subjects (Odds Ratio [OR]: 173.2; 95% Confidence Interval [CI], 21.2 to 1413.8; P<0.001) and those with ADHD (OR: 14.6; 95% CI, 6.2 to 34.3; P<0.001) to have a positive CBCL-Severe Dysregulation profile. Receiver Operating Characteristics analyses showed that the area under the curve for this profile comparing children with BP-I disorder against control subjects and those with ADHD was 99% and 85%, respectively. The corresponding positive predictive values for this profile were 99% and 92% with false positive rates of <0.2% and 8% for the comparisons with control subjects and patients with ADHD, respectively. LIMITATIONS: Non-clinician raters administered structured diagnostic interviews, and the sample was referred and largely Caucasian.

conclusionsThe CBCL-Severe Dysregulation profile can be useful as a screen for BP-I disorder in children in clinical practice.

Indexed as

AggressionChecklistAdolescentAnxiety DisordersAttention Deficit Disorder with HyperactivityBipolar DisorderChildDepressive DisorderFemaleHumansMaleProbabilityPsychiatric Status Rating ScalesBipolar disorderCBCLMood disordersScreening instrumentSeverity of illness index

Identifiers

PMID24882182
PMCPMC4066999

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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.