Evidence map›Paper›PMID 41073410›Full record

ArticleTranslational psychiatry2025

Predictive modeling of adaptive behavior trajectories in autism: insights from a clinical cohort study.

Annie Aitken, Maia C Lazerwitz, Ally Eash, Neil Hattangadi, Pratik Mukherjee, Elysa J Marco, Kevin A Shapiro

Abstract read
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Annie AitkenCortica Healthcare, San Diego, CA, USA. aitkenannie@gmail.com.ORCID http://orcid.org/0000-0002-7227-6888
Maia C LazerwitzCortica Healthcare, San Diego, CA, USA.
Ally EashCortica Healthcare, San Diego, CA, USA.
Neil HattangadiCortica Healthcare, San Diego, CA, USA.
Pratik MukherjeeUniversity of California, San Francisco, CA, USA.
Elysa J MarcoCortica Healthcare, San Diego, CA, USA.
Kevin A ShapiroCortica Healthcare, San Diego, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research aimed at understanding how baseline clinical and demographic characteristics influence outcomes over time is critically important to inform individualized therapeutic programs for children with neurodevelopmental differences. This study characterizes adaptive behavior trajectories in children receiving medical and behavioral therapy within a network of care centers with a shared data-gathering mechanism for intake and longitudinal assessments. We then take the further step of utilizing intake data to develop machine-learning models which predict differences in those trajectories. Specifically, we evaluated data from 1225 autistic children, aged 20-90 months, using latent class growth mixture modeling (LCGMM) with scores on the Vineland Adaptive Behavior Scales, 3

Indexed as

Adaptation, PsychologicalAutism Spectrum DisorderAutistic DisorderMachine LearningBehavior TherapyChildChild, PreschoolCohort StudiesFemaleHumansInfantLatent Class AnalysisLongitudinal StudiesMale

Identifiers

PMID41073410
PMCPMC12514274

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.