Evidence map›Paper›PMID 37461867›Full record

ArticlePediatrics2023

Diagnostic Accuracy of Primary Care Clinicians Across a Statewide System of Autism Evaluation.

Rebecca McNally Keehn, Nancy Swigonski, Brett Enneking, Tybytha Ryan, Patrick Monahan, Ann Marie Martin, Lisa Hamrick, Girija Kadlaskar, Angela Paxton, Mary Ciccarelli and 1 more

Open access · greenAbstract read
In one paragraph

Article in Pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. 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
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Rebecca McNally KeehnDepartments of Pediatrics.
Nancy SwigonskiDepartments of Pediatrics.
Brett EnnekingDepartments of Pediatrics.
Tybytha RyanDepartments of Pediatrics.
Patrick MonahanBiostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana.
Ann Marie MartinDepartments of Pediatrics.
Lisa HamrickDepartments of Psychological Sciences.
Girija KadlaskarSpeech, Language and Hearing Sciences, Purdue University, West Lafayette, Indiana.
Angela PaxtonDepartments of Pediatrics.
Mary CiccarelliDepartments of Pediatrics.
Brandon KeehnDepartments of Psychological Sciences.
Purdue University West Lafayette · USIndiana University – Purdue University Indianapolis · US

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
An innovative model of early ASD diagnosis in the primary care setting: Integrating clinical evaluation and biomarkers to improve diagnostic accuracyR21MH121747 · NIMH · INDIANA UNIVERSITY INDIANAPOLIS · PI KEEHN, BRANDON, MCNALLY KEEHN, REBECCA · 2020 to 2020
$435k
NCATS NIH HHS UL1 TR002529NIMH NIH HHS R21 MH121747
6 · The paper itself

Abstract

objectivesTo evaluate the diagnostic accuracy of the Early Autism Evaluation (EAE) Hub system, a statewide network that provides specialized training and collaborative support to community primary care providers in the diagnosis of young children at risk for autism spectrum disorder (ASD).

methodsEAE Hub clinicians referred children, aged 14 to 48 months, to this prospective diagnostic study for blinded follow-up expert evaluation including assessment of developmental level, adaptive behavior, and ASD symptom severity. The primary outcome was agreement on categorical ASD diagnosis between EAE Hub clinician (index diagnosis) and ASD expert (reference standard).

resultsAmong 126 children (mean age: 2.6 years; 77% male; 14% Latinx; 66% non-Latinx white), 82% (n = 103) had consistent ASD outcomes between the index and reference evaluation. Sensitivity was 81.5%, specificity was 82.4%, positive predictive value was 92.6%, and negative predictive value was 62.2%. There was no difference in accuracy by EAE Hub clinician or site. Across measures of development, there were significant differences between true positive and false negative (FN) cases (all Ps < .001; Cohen's d = 1.1-1.4), with true positive cases evidencing greater impairment.

conclusionsCommunity-based primary care clinicians who receive specialty training can make accurate ASD diagnoses in most cases. Diagnostic disagreements were predominately FN cases in which EAE Hub clinicians had difficulty differentiating ASD and global developmental delay. FN cases were associated with a differential diagnostic and phenotypic profile. This research has significant implications for the development of future population health solutions that address ASD diagnostic delays.

Indexed as

Autism Spectrum DisorderAutistic DisorderAdaptation, PsychologicalChildChild, PreschoolFemaleHumansMalePrimary Health CareProspective Studies

Identifiers

PMID37461867
PMCPMC10686684
OpenAlexW4384627003

What OpenQuestion holds

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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.