Self‐perceived acute psychological stress and risk of mortality, recurrence and disability after stroke: Mashhad Stroke Incidence Study
Bibliographic record
Abstract
This longitudinal study was designed to evaluate the association between acute pre-stroke stress and the severity stroke and its outcomes including mortality, recurrence, disability and functional dependency. Patients with first-ever stroke (FES) were recruited from the Mashhad Stroke Incidence Study. Patients were asked about any acute severe pre-stroke stress in the 2 weeks prior to index stroke. Disability and functional disability were defined using modified the Rankin Scale and Barthel Index, respectively. We used logistic and ordinal regression tests to assess the association between acute pre-stroke stress and study outcomes. Among 624 patients with FES, 169 reported acute pre-stroke stress. Patients with acute pre-stroke stress were younger than those without stress (60.7 ± 14.4 vs. 66.2 ± 14.7; p < 0.001). The frequency of traditional vascular risk factors was not different in patients with and without acute pre-stroke stress. We did not find any association between acute pre-stroke stress and stroke outcomes. Although acute stress was common in our cohort, our results did not support an association between acute pre-stroke stress and the severity of stroke at admission and long-term stroke outcomes.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".