Evidence map›Paper›PMID 27318809›Full record

ArticleJournal of autism and developmental disorders2016

Using the PDD Behavior Inventory as a Level 2 Screener: A Classification and Regression Trees Analysis.

Ira L Cohen, Xudong Liu, Melissa Hudson, Jennifer Gillis, Rachel N S Cavalari, Raymond G Romanczyk, Bernard Z Karmel, Judith M Gardner

Abstract read
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Article in Journal of autism and developmental disorders, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Is Taurine a Biomarker in Autistic Spectrum Disorder?Advances in experimental medicine and biology
    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

8 authors.

Ira L CohenDepartment of Psychology, New York State Institute for Basic Research in Developmental Disabilities, 1050 Forest Hill Road, Staten Island, NY, 10314, USA. ira.cohen@opwdd.ny.gov.ORCID 0000-0001-6688-0141
Xudong LiuQueen's Genomics Lab at Ongwanada, Ongwanada Resource Center, Department of Psychiatry, Queen's University, 191 Portsmouth Ave, Kingston, ON, K7M 8A6, Canada.
Melissa HudsonQueen's Genomics Lab at Ongwanada, Ongwanada Resource Center, Department of Psychiatry, Queen's University, 191 Portsmouth Ave, Kingston, ON, K7M 8A6, Canada.
Jennifer GillisDepartment of Psychology, Binghamton University - State University of N.Y., Binghamton, NY, 13902-6000, USA.
Rachel N S CavalariDepartment of Psychology, Binghamton University - State University of N.Y., Binghamton, NY, 13902-6000, USA.
Raymond G RomanczykDepartment of Psychology, Binghamton University - State University of N.Y., Binghamton, NY, 13902-6000, USA.
Bernard Z KarmelDepartment of Infant Development, New York State Institute for Basic Research in Developmental Disabilities, 1050 Forest Hill Road, Staten Island, NY, 10314, USA.
Judith M GardnerDepartment of Infant Development, New York State Institute for Basic Research in Developmental Disabilities, 1050 Forest Hill Road, Staten Island, NY, 10314, USA.

Funding

Standardized testing/Arousal-attention batteryP01HD047281 · NICHD · INSTITUTE FOR BASIC RES IN DEV DISABIL · PI GARDNER, JUDITH M · 2005 to 2009
$4.3M
NICHD NIH HHS P01 HD047281
6 · The paper itself

Abstract

In order to improve discrimination accuracy between Autism Spectrum Disorder (ASD) and similar neurodevelopmental disorders, a data mining procedure, Classification and Regression Trees (CART), was used on a large multi-site sample of PDD Behavior Inventory (PDDBI) forms on children with and without ASD. Discrimination accuracy exceeded 80 %, generalized to an independent validation set, and generalized across age groups and sites, and agreed well with ADOS classifications. Parent PDDBIs yielded better results than teacher PDDBIs but, when CART predictions agreed across informants, sensitivity increased. Results also revealed three subtypes of ASD: minimally verbal, verbal, and atypical; and two, relatively common subtypes of non-ASD children: social pragmatic problems and good social skills. These subgroups corresponded to differences in behavior profiles and associated bio-medical findings.

Indexed as

Social SkillsAdolescentAlgorithmsAutism Spectrum DisorderChildChild Development Disorders, PervasiveChild, PreschoolFemaleHumansInfantMachine LearningMaleParentsRegression AnalysisSensitivity and SpecificitySurveys and QuestionnairesAutism Spectrum DisorderData miningDecision treesGenotypeLevel 2 screenersMachine learningMonoamine Oxidase APhenotypeSeizuresSubgroups

Identifiers

What OpenQuestion holds

Textmetadata
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.