Improving the early detection of aphasia in the acute phase of stroke: the contribution of a screening test
Bibliographic record
Abstract
BACKGROUND: Aphasia is one of the most common and most debilitating after-effects of a stroke. In the acute phase of a stroke, referrals to speech-language pathology (SLP) are frequently guided by clinical impressions rather than validated tests. OBJECTIVES: This study aimed to evaluate the advantages of incorporating the Screening test for language disorders in adults and the elderly (DTLA) into clinical practice for detecting language disorders during the acute phase of stroke. METHODS: The study includes a retrospective and a prospective component, including a questionnaire on the acceptability, feasibility and usefulness of using the DTLA in patients in the acute phase of stroke. RESULTS: Sixty-one patients admitted for stroke were recruited for each of the two components. The introduction of the DTLA in the prospective component of the study had a significant impact on the detection of language impairment, as more notes about language were found in patients' medical records and more referrals were made to SLP. CONCLUSIONS: Using a screening test can improve the detection of aphasia during the acute phase of stroke, particularly in patients whose impairments might not be easily identified through subjective assessments.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".