Evidence map›Paper›PMID 31546906›Full record

ReviewInternational journal of environmental research and public health2019

Early Autism Screening: A Comprehensive Review.

Fadi Thabtah, David Peebles

Open access · goldAbstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 3 pooled it
8.0field-weighted citation impact, top 2% 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

49 citing papers in PubMed, 3 syntheses or guidelines pooled it, 148 citations in OpenAlex.

  1. Pooled it
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  4. Is traditional back translation enough? Comparison of translation methodology for an ASD screening tool.Autism research : official journal of the International Society for Autism Research · 2022
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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

2 authors at 1 institution in 1 country.

Fadi ThabtahDepartment of Psychology, School of Human and Health Sciences, University of Huddersfield, Huddersfield HD1 3DH, UK. f.thabtah2@hud.ac.uk.ORCID 0000-0002-2664-4694
David PeeblesDepartment of Psychology, School of Human and Health Sciences, University of Huddersfield, Huddersfield HD1 3DH, UK. d.peebles@hud.ac.uk.
University of Huddersfield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autistic spectrum disorder (ASD) refers to a neurodevelopmental condition associated with verbal and nonverbal communication, social interactions, and behavioural complications that is becoming increasingly common in many parts of the globe. Identifying individuals on the spectrum has remained a lengthy process for the past few decades due to the fact that some individuals diagnosed with ASD exhibit exceptional skills in areas such as mathematics, arts, and music among others. To improve the accuracy and reliability of autism diagnoses, many scholars have developed pre-diagnosis screening methods to help identify autistic behaviours at an early stage, speed up the clinical diagnosis referral process, and improve the understanding of ASD for the different stakeholders involved, such as parents, caregivers, teachers, and family members. However, the functionality and reliability of those screening tools vary according to different research studies and some have remained questionable. This study evaluates and critically analyses 37 different ASD screening tools in order to identify possible areas that need to be addressed through further development and innovation. More importantly, different criteria associated with existing screening tools, such as accessibility, the fulfilment of

Indexed as

Autism Spectrum DisorderAutistic DisorderChild Development Disorders, PervasiveDiagnostic and Statistical Manual of Mental DisordersHumansMass ScreeningReproducibility of ResultsSensitivity and Specificityautism spectrum disorderbehaviour sciencechild psychologyclinical diagnosisDSM-5machine learningpublic healthscreening methods

Identifiers

PMID31546906
PMCPMC6765988
OpenAlexW2974919107

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.