Prevalence and Application of Speech-Language Therapy in Individuals With Klinefelter Syndrome: A Scoping Review
Bibliographic record
Abstract
Klinefelter syndrome (KS), a condition resulting from the presence of an extra X chromosome in males (47,XXY), is associated with a high prevalence of communication difficulties, however, the application and evaluation of speech-language therapy (SLT) in this population remains poorly understood. Despite extensive documentation of language impairments in individuals with KS, no comprehensive synthesis of SLT interventions or outcomes has been conducted. To address this gap, we conducted a scoping review mapping the existing literature on SLT in individuals with KS to inform future clinical practice and research. A systematic search was performed across four databases: PubMed, Embase, PsycINFO, and Scopus. Eligible studies discussed SLT in relation to individuals with KS. The search identified 57 articles, which were narrowed down to four articles that met the inclusion criteria; the findings were narratively synthesized. Following data extraction, thematic analysis revealed three overarching themes within the literature: (1) High utilization of SLT in KS, (2) Early interdisciplinary intervention for language deficits, and (3) Access barriers and lack of outcome data.Findings highlight that SLT is one of the most frequently accessed early interventions for children with KS, yet therapeutic outcomes are rarely evaluated. Early interdisciplinary intervention models were emphasized as crucial for addressing the complex language needs associated with KS; however, barriers to timely access were prevalent, including limited provider awareness and insufficient knowledge of KS. Moreover, while high rates of SLT usage were reported, few studies assessed the effectiveness or long-term outcomes of interventions, emphasizing the need for further research in this area. The findings of this scoping review suggest that improving awareness among healthcare providers and educators, along with ongoing evaluation of SLT outcomes, is essential to optimize developmental support for children with KS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.018 | 0.018 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".