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Enregistrement W4385850631 · doi:10.1002/aur.2986

Severity should be distinguished from prototypicality

2023· letter· en· W4385850631 sur OpenAlexaff
Laurent Mottron, David Gagnon, Valérie Courchesne

Notice bibliographique

RevueAutism Research · 2023
Typeletter
Langueen
DomaineNeuroscience
ThématiqueAutism Spectrum Disorder Research
Établissements canadiensCentre for Addiction and Mental HealthCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversité de Montréal
Organismes subventionnairesnon disponible
Mots-clésAutismComorbidityPsychologyIntellectual disabilityCore (optical fiber)Developmental psychologyCognitive psychologyClinical psychologyPsychiatryComputer science

Résumé

récupéré en direct d'OpenAlex

Waizbard-Bartov et al. (2023) argue that the current DSM 5 criteria quantifying the severity of autism are too selective and restrictive. They argue that severity resulting from the two core areas should be conceptually merged to that resulting from intellectual deficiency, language impairment, and comorbidity. From there, they justify the concept of profound autism, which includes “high severity of core symptoms, co-occurring intellectual disability, little or no language, and requiring extensive long-term care” (Waizbard-Bartov et al., 2023, p. 6). However, the “profound autism” category is as heterogeneous as the spectrum itself and is therefore as scientifically difficult to process. It confuses several notions and could itself have a detrimental effect on diagnosis and mechanistic research in autism. First, “profoundness” varies with time. The severity of core symptoms, as is stated by the authors, changes over the course of development. These changes can be drastic, especially in the language domain (Gagnon et al., 2021). The unpredictability of the adaptive outcome of prototypical phenotypes (at least for non-syndromic autism) is well established. An adaptive outcome of non-syndromic autism should be distinguished from that of autism with an identified neuro-genetic comorbidity, although their “profoundness” may be similar during the preschool years. Second, the detrimental effects of core symptoms and those of specifiers are based on two distinct mechanisms, even if they can potentiate each other. Defining a state of profound autism both by its symptomatic burden, measured by summary scores combined with intellectual disability and the absence of language, and the needs resulting from their combination confuses the criteria that allow the recognition of autism as a specific condition and its adaptive effects. These can overlap, but can also be dissociated: for example, a very high score in repetitive behaviors at preschool age does not predict worse later adaptation or less language acquisition. Finally, extreme values of the specifiers—and not only that of severity—characterize subgroups that are minimally mutually informative, such as between autistics with an initial language delay and those without or between identified neurogenetic comorbidity and familial type autism. They act as a confounding variable in the identification of individuals (Havdahl et al., 2016) and blur diagnostic boundaries (Defresne & Mottron, 2022). Instead of creating a severity index combining intellectual, language and core symptoms level with the level of support needed, we propose to dissociate prototypicality (how “autistic” the person is) from the level of adaptation (functional impact of core and associated symptoms). In its current state of development, the concept of prototypicality does not result in a categorical diagnosis but allows grading of its certainty. It can be rendered objective by differentially weighting the signs according to their contribution to a certain judgment of autism. The concept of prototypicality refers to how close, or representative, the person is of the center of the autism category. In this framework, severity refers to the adaptive impact of presented signs independently of their relationship with the “prototypicality” of the diagnosis, as was the case for axis 5 of the DSM-IV multiaxial diagnosis. Hence, the relationship between severity and prototypicality ranges from overlap to orthogonality. A person very “prototypical” of autism—with very high scores on core symptoms of autism for example—might be less severe and hence require less support and care than another who shows less autism symptoms. Conceptually attaching severity to what constitutes the very essence of autism is not the remedy to prevent the current drift towards invisible autism, whereas the concept of prototypicality can have this effect (Mottron, 2021). “Profoundness” and its effects is a trans-diagnostic notion that must be studied and supported for its own sake, and services should be obtained based on severity (defined as the adaptive impact of symptoms), independently of diagnosis. Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,012
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Études des sciences et des technologies, Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesIntégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,314
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,012
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0010,002
Communication savante0,0010,000
Science ouverte0,0040,004
Intégrité de la recherche0,0020,020
Charge utile insuffisante (le modèle a refusé de juger)0,0030,008

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,339
Tête enseignante GPT0,444
Écart entre enseignants0,105 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations7
Publié2023
Routes d'admission1
Résumé présentoui

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