Early Screening and Diagnosis of Autism Spectrum Disorders
Summary
Early detection of autism spectrum disorders (ASD) has become a global priority owing to the clear relationship between age of diagnosis and the effectiveness of intervention. Screening approaches range from universal parent-completed questionnaires at well-child visits to clinician-observed developmental surveillance and structured observational assessments. Key objectives are to identify atypical social communication, restricted interests and repetitive behaviours within the first two years of life, when neural plasticity and responsiveness to supportive therapies are greatest. Population-based screening seeks to balance sensitivity and specificity to minimise missed cases and false positives, while targeted screening addresses high-risk groups such as siblings of children with ASD. Challenges include variable access to diagnostic services, cultural and linguistic adaptation of instruments, and loss to follow-up after initial positive screens. Integrating interdisciplinary teams—comprising paediatricians, psychologists, speech and language therapists and community health workers—has improved referral pathways and reduced delays between screening and definitive diagnosis. Advances in digital health and tele-assessment are expanding reach in underserved settings, but ensuring accuracy and equitable access remains imperative. Overall, early screening programmes aim not only to shorten the time to diagnosis but also to optimise developmental trajectories by expediting tailored interventions and family support.
Research from Nature Portfolio
A recent cluster-randomised study evaluated the impact of inviting all children at routine 30-month visits to participate in an autism screening programme versus usual care. Centres randomised to the invitation arm implemented a multi-disciplinary assessment combining neurological examination, standardised autism rating scales and parent interviews, while control centres provided customary developmental surveillance. Over two years of follow-up, the invited group showed a higher cumulative incidence of ASD, suggesting more comprehensive case identification when explicit screening invitations are offered. However, overlapping confidence intervals indicated that further studies with larger samples are needed to confirm a clear advantage over usual care. This work emphasises the value of rigorous trial designs for assessing population-level screening effectiveness and underlines the need for robust protocols to interpret incidence changes arising from screening initiatives.
Early Screening and Diagnosis of Autism Spectrum Disorders publication trend
The graph below shows the total number of articles in early screening and diagnosis of autism spectrum disorders across all publications each year (not limited to Nature Index journals).
Technical terms
Screening tool: A brief instrument, often a questionnaire or checklist, used to identify individuals at increased likelihood of ASD before diagnostic evaluation.
Sensitivity: The proportion of true cases correctly identified by a screening instrument.
Specificity: The proportion of non-cases correctly identified as negative by a screening instrument.
Positive predictive value: The probability that a child with a positive screening result truly has ASD upon diagnostic assessment.
Diagnostic stability: The consistency of an ASD diagnosis over successive assessments, indicating the reliability of early diagnosis.
References
- The influence of loss to follow‐up in autism screening research: Taking stock and moving forward. Journal of Child Psychology and Psychiatry (2023).
- Evaluating screening for autism spectrum disorder using cluster randomization. Scientific Reports (2024).
- Evaluation of the Diagnostic Stability of the Early Autism Spectrum Disorder Phenotype in the General Population Starting at 12 Months. JAMA Pediatrics (2019).
- Diagnostic Accuracy of the Social Attention and Communication Surveillance–Revised With Preschool Tool for Early Autism Detection in Very Young Children. JAMA Network Open (2022).
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