MétaCan
Menu
Back to cohort
Record W4293764522 · doi:10.1111/1460-6984.12776

Stability of language difficulties among a clinical sample of preschoolers

2022· article· en· W4293764522 on OpenAlexafffundabout
Chantale Breault, Marie‐Julie Béliveau, Fannie Labelle, Florence Valade, Natacha Trudeau

Bibliographic record

VenueInternational Journal of Language & Communication Disorders · 2022
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCentre for Interdisciplinary Research in Rehabilitation
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsMcNemar's testPsychologyPersistence (discontinuity)Test (biology)El NiñoPediatricsDevelopmental psychologyLanguage developmentMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: Some data call into question the persistence of developmental language disorders (DLDs) identified during the preschool period. For this reason, speech-language pathologists (SLPs) often reassess children. However, it is unclear if the instability of the profiles documented in community sample studies is present in children referred to specialized clinics. Given the scarcity of SLP resources, is re-evaluating the language skills of these children a good use of clinical time? AIM: To examine the stability of the findings from two SLP assessments in a sample of Canadian preschool children referred to a tertiary clinic between the ages of 2 and 6 years. It was hypothesized that children under the age of 4 years at first assessment and children with less severe initial deficits would show less stability of DLD diagnosis. METHODS & PROCEDURES: The clinical files of children referred to an early childhood psychiatric clinic in Canada were reviewed. For 149 children with two SLPs assessment reports, persistence of language deficits was documented and tested with McNemar's statistics. Differences between preschoolers under the age of 4 versus 4 years and over, as well as between mildly and severely impaired children, were examined. OUTCOMES & RESULTS: High level of agreement (94%) and McNemar's test (p = 0.180) supported the stability of initial diagnosis. The stability for children assessed before the age of 4 (n = 64) was 100%, and was significantly different from older children's (n = 85) stability of 89% (Fisher's exact test, p = 0.01; bilateral). The stability for children with mild impairments (n = 18) was 78%, which was significantly lower than the stability (97%) in children with severe impairments (n = 114) (Fisher's exact test, p = 0.007; bilateral). CONCLUSIONS & IMPLICATIONS: No instability of language status was observed in children assessed before 4 years of age, which could be related to the significant severity of the difficulties that children in this age group presented and be specific to this type of clinical sample. The great stability of language status observed in preschoolers referred to a specialized clinic suggests that clinicians should limit reassessments to devote available resources to intervention efforts. WHAT THIS PAPER ADDS: What is already known on this subject? Previous research that has demonstrated important instability in the classification of language impairment before 4 years of age gathered data mainly by screening the general population or was not based on a comprehensive clinical assessment. What this paper adds to existing knowledge? This study investigated the classification stability of DLD between two comprehensive SLP assessments in a clinical sample of Canadian preschoolers. The results indicate great stability of language status assessed before 4 years old in this population, suggesting that severity of impairments may trump the age factor in this group. What are the potential or actual clinical implications of this work? In the case of children referred to a specialized clinic, clinicians and policymakers should be aware that DLD diagnosis made before 4 years of age remains stable during preschool age, and that a best practice with this population would be to abandon unnecessary testing in favour of early intervention.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.361
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes3
Has abstractyes

Explore more

Same venueInternational Journal of Language & Communication DisordersSame topicLanguage Development and DisordersFrench-language works237,207