Evidence map›Paper›PMID 22004538›Full record

ArticlePsychological assessment2012

Generalizability of evidence-based assessment recommendations for pediatric bipolar disorder.

Melissa M Jenkins, Eric A Youngstrom, Jennifer Kogos Youngstrom, Norah C Feeny, Robert L Findling

Abstract readEvaluation Study
In one paragraph

Article in Psychological assessment, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Evidence-based use of scalable biomarkers to increase diagnostic efficiency and decrease the lifetime costs of autism.Autism research : official journal of the International Society for Autism Research · 2021
    Article
  5. Article
  6. Review
  7. Unfiltered Administration of the YMRS and CDRS-R in a Clinical Sample of Children.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53 · 2015
    Article
  8. Article
  9. Article
  10. Article
  11. Comparing the Diagnostic Accuracy of Five Instruments for Detecting Posttraumatic Stress Disorder in Youth.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53
    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

5 authors.

Melissa M JenkinsDepartment of Psychology, University of North Carolina at Chapel Hill, NC 27599-3270, USA.
Eric A Youngstrom
Jennifer Kogos Youngstrom
Norah C Feeny
Robert L Findling

Funding

Assessment of Juvenille Bipolar Spectrum DisordersR01MH066647 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YOUNGSTROM, ERIC · 2003 to 2007
$2.4M
NIMH NIH HHS R01 MH066647
6 · The paper itself

Abstract

Bipolar disorder is frequently clinically diagnosed in youths who do not actually satisfy Diagnostic and Statistical Manual of Mental Disorders (4th ed., text revision; DSM-IV-TR; American Psychiatric Association, 1994) criteria, yet cases that would satisfy full DSM-IV-TR criteria are often undetected clinically. Evidence-based assessment methods that incorporate Bayesian reasoning have demonstrated improved diagnostic accuracy and consistency; however, their clinical utility is largely unexplored. The present study examines the effectiveness of promising evidence-based decision-making strategies compared with the clinical gold standard. Participants were 562 youths, ages 5 to 17 and predominantly African American, drawn from a community mental health clinic. Research diagnoses combined a semistructured interview with youths' psychiatric, developmental, and family mental health histories. Independent Bayesian estimates that relied on published risk estimates from other samples discriminated bipolar diagnoses (area under curve = .75, p < .00005). The Bayes and confidence ratings correlated at rs = .30. Agreement about an evidence-based assessment intervention threshold model (wait/assess/treat) was κ = .24, p < .05. No potential moderators of agreement between the Bayesian estimates and confidence ratings, including type of bipolar illness, were significant. Bayesian risk estimates were highly correlated with logistic regression estimates using optimal sample weights (r = .81, p < .0005). Clinical and Bayesian approaches agree in terms of overall concordance and deciding next clinical action, even when Bayesian predictions are based on published estimates from clinically and demographically different samples. Evidence-based assessment methods may be useful in settings in which gold standard assessments cannot be routinely used, and they may help decrease rates of overdiagnosis while promoting earlier identification of true cases.

Indexed as

Actuarial AnalysisBayes TheoremDecision Support TechniquesAdolescentAdultBipolar DisorderBlack or African AmericanChildChild, PreschoolCommunity Mental Health CentersDiagnostic and Statistical Manual of Mental DisordersDiagnostic ErrorsEvidence-Based MedicineFemaleHumansInterview, Psychological

Identifiers

PMID22004538
PMCPMC3752420

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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.