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What we learn from linking data

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The NIH has launched the new Autism Data Science Initiative: https://dpcpsi.nih.gov/autism-data-science-initiative/funding-opportunities#section1, which brings questions about why linking different data sets is important. It can be done without including personal identifying information, and it should be done following ethical guidelines. If done correctly, using large datasets can answer questions relating to treatment, cause, better identification and personalized medicine for those on the spectrum. So what has linking data done for families? This week’s podcast summarizes longitudinal research that follows individuals across time, linking their information across different ages to look at factors that predict outcomes, environmental factors, and how to best support those on the spectrum.

https://pubmed.ncbi.nlm.nih.gov/40420626

https://bmcpsychology.biomedcentral.com/articles/10.1186/s40359-025-02739-4

https://pubmed.ncbi.nlm.nih.gov/40391067

https://pubmed.ncbi.nlm.nih.gov/40309015

https://pubmed.ncbi.nlm.nih.gov/40401338

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Quality vs. Quantity in an autism diagnosis

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In the fight to ensure everyone with autism is detected and diagnosed as early as possible, community providers are sometimes pushed to the limit in what they can do.  They have a huge caseload and there are long waitlists.  So how accurate are autism diagnoses given by these providers with little time and little resources for training?  As it turns out, they are just okay.  Approximately 23% of those diagnosed by community providers were not diagnosed using standardized and validated autism tools.  How can we weigh this potential over and mis-diagnosis with the potential for missing individuals with autism and depriving them of interventions and services?  That’s a topic for another discussion.  However, one question on the cause of autism was addressed and a theory debunked:  autism is not caused by caesarean section deliveries altering the microbiome, and then leading to ASD.  The microbiome may be involved, but not because of method of delivery and use of antibiotic medications.

https://www.ncbi.nlm.nih.gov/pubmed/30270970

https://www.ncbi.nlm.nih.gov/pubmed/30273187