Evidence map›Paper›PMID 41231818›Full record

ArticlePloS one2025

Investigating the role of three screening measures to support clinical decision-making in adult autism assessments.

Janine Robinson, Carrie Allison, Bonnie Auyeung, Isabel C H Clare, Michael Lombardo, Navneet Nagra, Simon Baron-Cohen

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Janine RobinsonCambridgeshire and Peterborough NHS Foundation Trust (CPFT), Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-2256-976X
Carrie AllisonDepartment of Psychiatry, Autism Research Centre, University of Cambridge, United Kingdom.
Bonnie AuyeungPsychology Department, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Isabel C H ClareCambridgeshire and Peterborough NHS Foundation Trust (CPFT), Cambridge, United Kingdom.
Michael LombardoLaboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, Italy.
Navneet NagraCentral and North West London NHS Foundation Trust, London, United Kingdom.
Simon Baron-CohenDepartment of Psychiatry, Autism Research Centre, University of Cambridge, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Referrals for autism diagnostic assessments in adults are increasing, with demand creating long waiting lists. Rigorously evaluated screening tools could serve to identify who is most likely to receive an autism diagnosis and contribute to clinical decision-making. We retrospectively examined individuals attending a specialist diagnostic assessment service in the UK over four years (2011-2014). Complete data on three screening measures were available for N = 422 referrals. These were the Autism Spectrum Quotient (AQ), the Empathy Quotient (EQ) and the Childhood Autism Spectrum Test-Relatives' Questionnaire (CAST-RQ). 89% (n = 376) received an autism diagnosis. Positive screens on all three measures had a 98.3% likelihood of receiving an autism diagnosis, confirming findings from an independent clinic sample. We also examined the AQ subscale scores to establish their association with diagnostic outcome. While all people accepted onto the diagnostic assessment pathway should be offered an assessment, people who meet all three cut-offs could be offered a briefer assessment given the high likelihood that an autism diagnosis will be confirmed. Such triaging may lead to more efficient use of clinic time allowing referred individuals to be seen more quickly.

Indexed as

Autistic DisorderClinical Decision-MakingMass ScreeningAdolescentAdultFemaleHumansMaleMiddle AgedRetrospective StudiesSurveys and QuestionnairesUnited KingdomYoung Adult

Identifiers

PMID41231818
PMCPMC12614533

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.