ArticleJournal of autism and developmental disorders2019
Autism Spectrum Disorder Decision Tree Subgroups Predict Adaptive Behavior and Autism Severity Trajectories in Children with ASD.
Article in Journal of autism and developmental disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Autism Data Classification Using AI Algorithms with Rules: Focused Review.Bioengineering (Basel, Switzerland) · 2025Review
- Artificial intelligence-driven diagnosis of autism spectrum disorder in children.Frontiers in medicine · 2025Article
- Trajectory research in children with an autism diagnosis: A scoping review.Autism : the international journal of research and practice · 2024Article
- Language Skill Differences Further Distinguish Social Sub-types in Children with Autism.Journal of autism and developmental disorders · 2024Article
- Prediction of patient admission and readmission in adults from a Colombian cohort with bipolar disorder using artificial intelligence.Frontiers in psychiatry · 2023Article
- Informant (Dis)Agreement on Ratings of Challenging Behaviors and Social Communication in Preschool Children With Autism Spectrum Disorder.Journal of speech, language, and hearing research : JSLHR · 2021Article
- Predictors in ASD: The Importance of Parents' Perception.Frontiers in psychiatry · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
A recent cross-sectional analysis of PDD Behavior Inventory (PDDBI) data, analyzed with a classification and regression tree algorithm, yielded a decision tree (the Autism Spectrum Disorder-Decision Tree or ASD-DT) that detected three behaviorally distinct ASD subgroups: minimally verbal, verbal, and atypical. These subgroups differed in PDDBI profiles and in factors previously reported to be predictors of autism severity and adaptive behavior trajectories. We retrospectively analyzed trajectories of adaptive skills and autism severity in these subgroups, defined by ASD-DTs calculated from initial evaluation PDDBIs. Results confirmed predictions that each subgroup had distinct trajectories that varied with the type of adaptive behavior assessed suggesting that the ASD-DT has prognostic value that could be helpful for both clinical and research applications.
Indexed as
Identifiers
30511124What OpenQuestion holds
Registered trials
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.