The Role of Alexithymia in the Incidence of Poststroke Depression
Bibliographic record
Abstract
Poststroke depression (PSD) is the most frequent neuropsychiatric consequence of stroke, and alexithymia is a construct characterized by the inability to identify and describe emotions. Our study aimed to determine whether alexithymia is a risk factor for the development of PSD. Patients with ischemic stroke admitted to a general teaching hospital were enrolled in this 6-month study. The patients were evaluated with the Toronto Alexithymia Scale-20 (TAS-20), Beck Anxiety Inventory (BAI), National Institute of Health Stroke Scale (NIHHS), and Mini-Mental Status Examination at baseline and then followed up each month for detection of PSD using the Center for Epidemiologic Studies of Depression scale. In all, 285 patients with ischemic stroke were enrolled, and 93.3% completed the 6-month study. The overall incidence of PSD within 6 months was 16.5%. In multivariate regression analyses, the incidence of PSD was significantly associated with higher BAI, higher NIHSS, and higher TAS-20 scores. In conclusion, our study highlights the importance of alexithymic symptoms as a risk factor for PSD.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".