Evidence map›Paper›PMID 42052529›Full record

ArticleFrontiers in psychiatry2026

Dimensional phenotype measurement in children with rare genetic conditions: new insights into the aetiology of neurodevelopmental and psychiatric disorders.

Sjra Chawner, L C Chetcuti, E K Spackman, M Uljarevic

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 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

4 authors.

Sjra ChawnerCentre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom.
L C ChetcutiYale Child Center, Yale University, New Haven, CT, United States.
E K SpackmanDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States.
M UljarevicDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rare neurodevelopmental genetic conditions (NGCs) present with diverse and complex phenotypic manifestations, often resulting in a range of clinical and cognitive difficulties that cut across traditional, categorically defined neurodevelopmental and neuropsychiatric diagnoses. Traditional categorical diagnostic frameworks have significant limitations in capturing the full complexity and heterogeneity of these phenotypes. This perspective reviews current advances in the field, highlighting the benefits of dimensional frameworks like the Research Domain Criteria (RDoC) and the Hierarchical Taxonomy of Psychopathology (HiTOP). Dimensional approaches have shown promise in capturing subthreshold symptoms and behavioural dimensions predictive of later neuropsychiatric outcomes. The transition to dimensional frameworks offers significant potential for improving diagnostic accuracy and informing personalised treatment strategies. However, the field remains hindered by the lack of standardised and validated dimensional assessment tools. Future research should focus on developing new assessment tools that are specifically designed for NGCs and are culturally and neurodivergence sensitive, with researchers, clinicians, and families codeveloping measures to ensure the practical application of these tools.

Indexed as

child and adolescent psychiatrydimensional assessmentgenomicsHiTOPmedical geneticspsychiatric geneticsrare genetic conditionsRDoC

Identifiers

PMID42052529
PMCPMC13111431

What OpenQuestion holds

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LicenceCC BY
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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.