Evidence map›Paper›PMID 38079032›Full record

ArticleJournal of autism and developmental disorders2025

From Symptomatology to Functioning - Applying the ICF to Autism Measures to Facilitate Neurodiversity-Affirmative Data Harmonization.

Melissa H Black, Karl Lundin Remnélius, Lovisa Alehagen, Thomas Bourgeron, Sven Bölte

Abstract read
In one paragraph

Article in Journal of autism and developmental disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  5. Expanding Research on Contextual Factors in Autism Research: What Took Us So Long?Autism research : official journal of the International Society for Autism Research · 2025
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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.

Melissa H BlackCenter of Neurodevelopmental Disorders Disorders at Karolinska Institutet (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet & Stockholm Health Care Services, Child and Adolescent Psychiatry Stockholm, CAP Research Center, Gävlegatan 22 (Entré B), Floor 8, SE-11330, Stockholm, Sweden. melissa.black@ki.se.ORCID http://orcid.org/0000-0003-0293-4053
Karl Lundin RemnéliusCenter of Neurodevelopmental Disorders Disorders at Karolinska Institutet (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet & Stockholm Health Care Services, Child and Adolescent Psychiatry Stockholm, CAP Research Center, Gävlegatan 22 (Entré B), Floor 8, SE-11330, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-0270-8358
Lovisa AlehagenCenter of Neurodevelopmental Disorders Disorders at Karolinska Institutet (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet & Stockholm Health Care Services, Child and Adolescent Psychiatry Stockholm, CAP Research Center, Gävlegatan 22 (Entré B), Floor 8, SE-11330, Stockholm, Sweden.ORCID https://orcid.org/0009-0006-9727-0999
Thomas BourgeronHuman Genetics and Cognitive Functions, Institut Pasteur, UMR3571 CNRS, IUF, Université de Paris Cité, Paris, France.ORCID https://orcid.org/0000-0001-8164-9220
Sven BölteCenter of Neurodevelopmental Disorders Disorders at Karolinska Institutet (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet & Stockholm Health Care Services, Child and Adolescent Psychiatry Stockholm, CAP Research Center, Gävlegatan 22 (Entré B), Floor 8, SE-11330, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-4579-4970

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA considerable number of screening and diagnostic tools for autism exist, but variability in these measures presents challenges to data harmonization and the comparability and generalizability of findings. At the same time, there is a movement away from autism symptomatology to stances that capture heterogeneity and appreciate diversity. The International Classification of Functioning, Disability and Health (ICF) provides a classification system that can support content harmonization of different screening and diagnostic tools for autism while enabling the translation of diagnostic information into functioning.

methodHere we linked commonly used screening and diagnostic measures within the field of autism to the ICF to facilitate the unification of data obtained from these measures.

resultsAs expected, screening and diagnostic measures primarily focus on body functions and activities and participation domains of the ICF, and much less on environmental factors, reflecting biomedical and adaptive behavior operationalizations of autism derived from diagnostic manuals.

conclusionBy translating symptomology-based information to the continuous and diagnostically neutral view of functioning, the ICF linking presented here may provide a means to harmonize measures of autism characteristics while enabling diagnostic information to be re-examined through a more neurodiversity-affirmative lens.

Indexed as

Autism Spectrum DisorderAutistic DisorderDisability EvaluationInternational Classification of Functioning, Disability and HealthChildHumansBiopsychosocialDiagnosisFunctioningHarmonizationScreening

Identifiers

PMID38079032
PMCPMC11802640

What Socratic holds

Textmetadata
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 Socratic graph.