Evidence map›Paper›PMID 35064874›Full record

ArticleJournal of autism and developmental disorders2022

Identifying Patient Characteristics to Understand Which Children May Receive Diagnostic Clarity in a Virtual Autism Spectrum Disorder Evaluation.

Randi A Phelps, Erika Sample, Rachel K Greene, Susanne W Duvall

Open access · bronzeAbstract read
In one paragraph

Article in Journal of autism and developmental disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Randi A PhelpsDivision of Pediatric Psychology, Department of Pediatrics, Institute On Development and Disability, Oregon Health & Science University and Doernbecher Children's Hospital, Portland, OR, USA. phelpsra@ohsu.edu.ORCID http://orcid.org/0000-0002-1160-3734
Erika SampleSchool of Graduate Psychology, Pacific University, Hillsboro, OR, USA.
Rachel K GreeneDivision of Pediatric Psychology, Department of Pediatrics, Institute On Development and Disability, Oregon Health & Science University and Doernbecher Children's Hospital, Portland, OR, USA.
Susanne W DuvallDivision of Pediatric Psychology, Department of Pediatrics, Institute On Development and Disability, Oregon Health & Science University and Doernbecher Children's Hospital, Portland, OR, USA.
Oregon Health & Science University · USPacific University Oregon · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given long waitlists for autism spectrum disorder (ASD) evaluation coupled with the COVID-19 pandemic, it is crucial to triage patients to services they are likely to receive diagnostic clarity (i.e., virtual, in-person evaluation). Participants attended a virtual ASD assessment. A subset also attended in-person evaluation. Results suggest younger children with educational services for ASD may benefit from virtual assessment while older patients with a history of psychiatric conditions may benefit from in-person evaluation. An ASD symptom severity tool related to virtual and in-person diagnostic clarity. Family history of ASD related to in-person diagnosis while other variables (e.g., age, educational services) did not. The study suggests patient characteristics may be used to determine for whom virtual ASD assessment may be appropriate.

Indexed as

Autism Spectrum DisorderCOVID-19ChildHumansPandemicsAutism spectrum disorderDiagnosisTelemedicineVirtual assessment

Identifiers

PMID35064874
PMCPMC8783571
OpenAlexW4206977890

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.