TruaceTracing the truth around AITuesday, August 25, 2026
TRV-2026-0878Certified recordPeer-reviewed

Pathogenic Genetic Variants, Comorbid Autism and Adaptive Developmental Quotient as Independent Predictors of Intellectual Disability in Children With Global Developmental Delay: An Interpretable Machine Learning Model With Calibrated Risk Estimation

Background Global developmental delay (GDD) frequently precedes intellectual disability (ID), but no validated multivariable prognostic tool exists to support individualised counselling during the initial diagnostic work-up. Existing risk indicators are typically considered in isolation, and their joint contribution within an interpretable predictive framework remains uncertain. Methods We retrospectively analysed 2453 children diagnosed with GDD between January 2014 and December 2023 at a provincial tertiary ch…

Health · The Trace — both readings · certified 2026-08-25 · v1 · article view · machine-readable

Current reading — gain

Among 2453 tertiary-referred children with GDD, a Platt-calibrated L2 logistic regression integrating routine clinical, neurophysiological and genetic data stratified progression to ID with AUC 0.783 and near-ideal calibration, enabling high-PPV triage.

Current reading — problem

In the same tertiary GDD cohort, the Youden-optimal model missed 33.9% of children who progressed to ID and had NPV 31.7%, limiting safe rule-out and indicating poor transportability beyond high-prevalence referral settings.

What this doesn’t fix

Single-centre retrospective design with high ID prevalence reflecting tertiary referral; model not validated for community populations and requires refitting and external validation before broader use.

Evidence

Reader signal

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Truvace Impact Record TRV-2026-0878, v1: “Pathogenic Genetic Variants, Comorbid Autism and Adaptive Developmental Quotient as Independent Predictors of Intellectual Disability in Children With Global Developmental Delay: An Interpretable Machine Learning Model With Calibrated Risk Estimation.” Truvace, 2026-08-25. /record/TRV-2026-0878 (accessed at citation time). sha256 63dd7c6c34044e4e

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