Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 863

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Can Autism be Detected at 18 Months?: The Needle, the Haystack, and the CHAT

Baron-Cohen, Simon, Allen, Jane, Gillberg, Christopher·1992·British Journal of Psychiatry

Abstract

Autism is currently detected only at about three years of age. This study aimed to establish if detection of autism was possible at 18 months of age. We screened 41 18–month-old toddlers who were at high genetic risk for developing autism, and 50 randomly selected 18–month-olds, using a new instrument, the CHAT, administered by GPs or health visitors. More than 80% of the randomly selected 18–month-old toddlers passed on all items, and none failed on more than one of pretend play, protodeclarative pointing, joint-attention, social interest, and social play. Four children in the high-risk group failed on two or more of these five key types of behaviour. At follow-up at 30 months of age, the 87 children who had passed four or more of these key types of behaviour at 18 months of age had continued to develop normally. The four toddlers who had failed on two or more of these key types of behaviour at 18 months received a diagnosis of autism by 30 months.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1192/bjp.161.6.839

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 863

Metadata

Authors
Baron-Cohen, S., Allen, J., & Gillberg, C.
Venue
British Journal of Psychiatry
Published
1992-12
Volume
161
Issue
6
Pages
839-843
ISSN
  • 0007-1250 (ISSN-L)
  • 1472-1465
OpenAlex
W2124468651
Cited by
863
References
1
FWCI
3.84
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Can Autism be Detected at 18 Months?: The Needle, the Haystack, and the CHAT. https://app.cochat.ai/papers/10.1192/bjp.161.6.839
The paper
Baron-Cohen, S., Allen, J., & Gillberg, C. (1992). Can Autism be Detected at 18 Months?: The Needle, the Haystack, and the CHAT. British Journal of Psychiatry. https://doi.org/10.1192/bjp.161.6.839

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.