Evidence map›Paper›PMID 30488151›Full record

ArticleJournal of autism and developmental disorders2019

When Are We Sure? Predictors of Clinician Certainty in the Diagnosis of Autism Spectrum Disorder.

Christina G McDonnell, Catherine C Bradley, Stephen M Kanne, Clara Lajonchere, Zachary Warren, Laura A Carpenter

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of autism and developmental disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Building Capacity: A Systematic Review of Training in the Diagnosis of Autism for Community-Based Clinicians.Autism research : official journal of the International Society for Autism Research · 2025
    Pooled it
  2. Article
  3. Pathways to autism diagnosis in adulthood.Journal of neurodevelopmental disorders · 2025
    Article
  4. Article
  5. Article
  6. Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  7. Article
  8. Article
  9. Accuracy of initial diagnostic impressions of autism in toddlers and behaviors that inform these impressions.Autism research : official journal of the International Society for Autism Research · 2024
    Article
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  20. The first five minutes: Initial impressions during autism spectrum disorder diagnostic evaluations in young children.Autism research : official journal of the International Society for Autism Research · 2021
    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

6 authors at 4 institutions in 2 countries.

Christina G McDonnellUniversity of Western Ontario, Western Interdisciplinary Research Building, Perth Drive, London, ON, N6A 5B7, Canada. christina.g.mcdonnell@gmail.com.
Catherine C BradleyDepartment of Pediatrics, Medical University of South Carolina, Charleston, USA.
Stephen M KanneDepartment of Health Psychology and Thompson Center for Autism and Neurodevelopmental Disorders, University of Missouri, Columbia, MO, USA.
Clara LajonchereUCLA Institute for Precision Health, Los Angeles, USA.
Zachary WarrenDepartment of Pediatrics, Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, USA.
Laura A CarpenterDepartment of Pediatrics, Medical University of South Carolina, Charleston, USA.
Medical University of South Carolina · USCenter for Autism and Related Disorders · USVanderbilt University Medical Center · USWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differential diagnosis of autism spectrum disorder (ASD) is challenging, and uncertainty regarding a child's diagnosis may result in under-identification or prolonged diagnostic pathways. The current study examined diagnostic certainty, or how sure clinicians were that their diagnosis was accurate, among 478 toddler and preschool-aged children referred for possible ASD to academic medical specialty clinics. Overall, 60 percent of diagnoses were made with complete certainty. Clinicians were more certain when positively identifying ASD than ruling it out. Children presenting with a moderate (vs high or low) level of observable ASD symptoms were less likely to have a certain diagnosis. Further, clinicians rated less diagnostic certainty for older children, those with public insurance, and those with higher IQ and adaptive behavior abilities.

Indexed as

Clinical Decision-MakingAutism Spectrum DisorderChildChild, PreschoolDiagnosis, DifferentialFemaleHumansMaleUncertaintyAutism spectrum disorderDiagnostic certaintyDifferential diagnosis

Identifiers

PMID30488151
OpenAlexW2903004681

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.