Evidence map›Paper›PMID 41313576›Full record

ArticleJournal of autism and developmental disorders2025

What Happens After Autism Screening-Factors That Predict Evaluation Attendance.

Andrea Trubanova Wieckowski, Maci Brown, Hannah Register, Deborah Fein, Aubyn C Stahmer, Leslie A McClure, Sarah Dufek, Diana L Robins

Abstract read
In one paragraph

Article in Journal of autism and developmental disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Andrea Trubanova WieckowskiA.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA. atw64@drexel.edu.ORCID http://orcid.org/0000-0001-5811-3460
Maci BrownA.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA.
Hannah RegisterA.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA.
Deborah FeinDepartment of Psychological Sciences, University of Connecticut, Storrs, CT, USA.
Aubyn C StahmerDepartment of Psychiatry and Behavioral Sciences, School of Medicine, MIND Institute, University of California Davis, Sacramento, USA.
Leslie A McClureCollege for Public Health & Social Justice, Saint Louis University, St. Louis, MO, USA.
Sarah DufekDepartment of Psychiatry and Behavioral Sciences, School of Medicine, MIND Institute, University of California Davis, Sacramento, USA.
Diana L RobinsA.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA.

Funding

Extending the Early Start Denver Model to Young Children with Down SyndromeR01MH115715 · NIMH · DREXEL UNIVERSITY · PI ROBINS, DIANA L · 2017 to 2021
$12.2M
Early Detection of Pervasive Developmental DisordersR01HD039961 · NICHD · UNIVERSITY OF CONNECTICUT STORRS · PI ROBINS, DIANA L · 2002 to 2018
$11.5M
Eunice Kennedy Shriver National Institute of Child Health and Human Development R01HD039961NICHD NIH HHS R01 HD039961NIMH NIH HHS R01 MH115715NIMH NIH HHS R01MH115715
6 · The paper itself

Abstract

purposeStandardized, high-fidelity screening is an effective strategy for early identification of autism. However, studies show that many families do not attend an evaluation following a positive screening result. This study aims to address a critical gap in understanding factors influencing autism evaluation attendance.

methodsChildren (n = 895) from two large-scale, primary care autism screening studies were invited to attend a diagnostic evaluation based on a screener result indicating higher likelihood for autism. We explored whether evaluation attendance differed based on sex, race, ethnicity, maternal education, or age at the time of screening. In addition, we explored whether screener scores differed between children who attended the evaluation versus those whose families declined.

resultsEvaluation attendance differed significantly between the two studies, but did not differ significantly within either study based on child's sex, race, ethnicity, or maternal education. The age at which the child was screened was a significant predictor of evaluation attendance, with higher attendance when the first positive screen was at 18 months (57%) compared to 12 months (38%) or 15 months (30%). In addition, children who completed an evaluation had screening scores indicating more autism characteristics compared to children who did not attend an evaluation (all t > 1.798, all p < .038).

conclusionThese findings emphasize the role of screening factors while de-emphasizing the role of child demographics on families' attendance following a positive screening result.

Indexed as

Autism screeningDemographic factorsEvaluation attendanceScreening factors

Identifiers

PMID41313576
PMCPMC13540754

What OpenQuestion holds

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Registered trials

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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.