Evidence map›Paper›PMID 35604589›Full record

ReviewIndian journal of pediatrics2023

Early Identification of Autism Spectrum Disorder (ASD): Strategies for Use in Local Communities.

Roula Choueiri, William T Garrison, Valerie Tokatli

Open access · hybridAbstract readReview
In one paragraph

Review in Indian journal of pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.9field-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

12 citing papers in PubMed, 35 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Roula ChoueiriAutism Spectrum Center, Department of Neurology, Boston Children's Hospital, 2 Brookline Place, Brookline, MA, 02445, USA. Roula.Choueiri@Childrens.Harvard.edu.ORCID 0000-0001-7718-5494
William T GarrisonDivision of Developmental and Behavioral Pediatrics, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Valerie TokatliAutism Spectrum Center, Department of Neurology, Boston Children's Hospital, 2 Brookline Place, Brookline, MA, 02445, USA.
Boston Children's Hospital · USUniversity of Massachusetts Chan Medical School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis of autism spectrum disorder (ASD) is essential for improved outcomes. There is a paucity of data on the prevalence of ASD in low- and middle-income countries (LMIC), but early identification may be further delayed in those communities. In this paper, recent studies on strategies for the early detection of ASD, and the prevalence of ASD in LMIC are reviewed. The limitations that can arise in the early identification of ASD in LMIC communities are discussed, and screening tools and strategies that can be helpful are identified. The goal is to recommend models that are culturally appropriate and scientifically valid, easily integrated within community settings while strengthening community systems and reducing disparities in the early identification of ASD. Starting locally by simplifying and demystifying the ASD identification process and building community connections will inform global researchers and policymakers while making a difference in the lives of the children and families affected by ASD.

Indexed as

Autism Spectrum DisorderChildEarly DiagnosisHumansPrevalenceAutism spectrum disorder (ASD)Community early childhood providersCommunity workersCultural factors and ASDEarly identificationLow- and middle-income countries and ASDLow-cost ASD screeningScreening for ASD

Identifiers

PMID35604589
PMCPMC9125962
OpenAlexW4281288305

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.