Evidence map›Paper›PMID 25000935›Full record

ArticleAssessment2015

Adapting the posterior probability of diagnosis index to enhance evidence-based screening: an application to ADHD in primary care.

Oliver Lindhiem, Lan Yu, Damion J Grasso, David J Kolko, Eric A Youngstrom

Open access · greenAbstract read
In one paragraph

Article in Assessment, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. DrKnow: A Diagnostic Learning Tool with Feedback from Automated Clinical Decision Support.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018
    Article
  7. Increased microsaccade rate in individuals with ADHD traits.Journal of eye movement research · 2017
    Article
  8. Article
  9. 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 at 3 institutions in 1 country.

Oliver LindhiemUniversity of Pittsburgh, Pittsburgh, PA, USA lindhiemoj@upmc.edu.
Lan YuUniversity of Pittsburgh, Pittsburgh, PA, USA.
Damion J GrassoUniversity of Connecticut, Storrs, CT, USA.
David J KolkoUniversity of Pittsburgh, Pittsburgh, PA, USA.
Eric A YoungstromUniversity of North Carolina at Chapel Hill, NC, USA.
University of Pittsburgh · USUniversity of Connecticut · USUniversity of North Carolina at Chapel Hill · US

Funding

TREATING BEHAVIOR PROBLEMS IN PRIMARY CARER01MH063272 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KOLKO, DAVID · 2000 to 2012
$5.7M
Skill Acquisition/Utilization During Treatment for Childhood Behavior ProblemsK01MH093508 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LINDHIEM, OLIVER JAMES · 2011 to 2015
$689k
HIV PREVENTION USING TECHNOLOGIES WITH DELINQUENT YOUTHR21MH062272 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LIGHTFOOT, MARGUERITA A · 2000 to 2002
$573k
NIMH NIH HHS K01 MH093508NIMH NIH HHS MH062272NIMH NIH HHS MH093508NIMH NIH HHS R01 MH063272
6 · The paper itself

Abstract

This study adapts the Posterior Probability of Diagnosis (PPOD) Index for use with screening data. The original PPOD Index, designed for use in the context of comprehensive diagnostic assessments, is overconfident when applied to screening data. To correct for this overconfidence, we describe a simple method for adjusting the PPOD Index to improve its calibration when used for screening. Specifically, we compare the adjusted PPOD Index to the original index and naïve Bayes probability estimates on two dimensions of accuracy, discrimination and calibration, using a clinical sample of children and adolescents (N = 321) whose caregivers completed the Vanderbilt Assessment Scale to screen for attention-deficit/hyperactivity disorder and who subsequently completed a comprehensive diagnostic assessment. Results indicated that the adjusted PPOD Index, original PPOD Index, and naïve Bayes probability estimates are comparable using traditional measures of accuracy (sensitivity, specificity, and area under the curve), but the adjusted PPOD Index showed superior calibration. We discuss the importance of calibration for screening and diagnostic support tools when applied to individual patients.

Indexed as

Attention Deficit Disorder with HyperactivityBayes TheoremChildChild, PreschoolEvidence-Based PracticeFactor Analysis, StatisticalFemaleHumansMaleParentsPennsylvaniaPrimary Health CareProbabilityPsychiatric Status Rating ScalesSensitivity and SpecificityADHDcalibrationevidence-based assessmentitem response theoryscreening

Identifiers

PMID25000935
PMCPMC4285573
OpenAlexW2317451848

What OpenQuestion holds

Textmetadata
LicenceTDM
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.