Evidence map›Paper›PMID 42416639›Full record

ArticleJCPP advances2026

Association of cumulative early medical events and neurodevelopmental conditions through a common latent factor-A population-based twin study.

Torkel Carlsson, Henrik Larsson, Sebastian Lundström, Sven Bölte, Mark J Taylor

Abstract read
In one paragraph

Article in JCPP advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Torkel CarlssonCenter of Neurodevelopmental Disorders (KIND) Centre for Psychiatry Research Stockholm Sweden.ORCID https://orcid.org/0000-0003-3231-5288
Henrik LarssonDepartment of Medical Epidemiology & Biostatistics Karolinska Institutet Stockholm Sweden.ORCID https://orcid.org/0000-0002-6851-3297
Sebastian LundströmGillberg Neuropsychiatry Centre University of Gothenburg Gothenburg Sweden.
Sven BölteCenter of Neurodevelopmental Disorders (KIND) Centre for Psychiatry Research Stockholm Sweden.
Mark J TaylorDepartment of Medical Epidemiology & Biostatistics Karolinska Institutet Stockholm Sweden.ORCID https://orcid.org/0000-0001-5161-4182

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The cumulative effect of early medical events has been shown to be associated with autism. It is unclear whether this effect is specific to autism or if it is associated to other neurodevelopmental conditions (NDCs) as well. Methods: We established a registry-linked population-based twin cohort of 10,254 pairs within the child and adolescent twin study in Sweden. Participants were evaluated for symptoms of autism, attention deficit hyperactivity disorder, tics, and learning difficulties at age 9. Three early medical events previously associated with autism, beyond familial confounding (low birth weight, congenital malformations, and perinatal respiratory stress), were summed up creating an individual cumulative exposure load. Confirmatory Factor Analysis was performed on the measure of NDCs and a standardized common latent NDC factor was regressed on level of cumulative exposure. Results: Cumulative exposure to early medical events was associated with a non-linear increase in the common latent NDC factor, Conclusion: The result suggests a possibly causal environmental pathway. The cumulative effect of early medical events previously associated with autism, are not specific for autism, but rather associated with NDCs in a broad sense.

Indexed as

cumulative environmental effectearly medical eventslatent factorneurodevelopmental conditionstwin study

Identifiers

PMID42416639
PMCPMC13339276

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Registered trials

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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.