Depressive Symptoms Following Stroke and Transient Ischemic Attack
Bibliographic record
Abstract
OBJECTIVE: To examine whether depressive symptoms after a stroke or a transient ischemic attack (TIA) increase the risk of cognitive impairment and functional deterioration at 2-year follow-up. METHODS: Participants were survivors of first-ever, mild-to-moderate ischemic stroke or TIA from the TABASCO prospective cohort study who underwent 3T magnetic resonance imaging and were examined by a multiprofessional team 6, 12, and 24 months after the event using direct interviews, depression scales, and neurologic, neuropsychological, and functional evaluations. The main outcome was the development of cognitive impairment, either mild cognitive impairment (MCI) or dementia. MCI was diagnosed by a decline on at least 1 cognitive domain (≥ 1.5 SD) of the Montreal Cognitive Assessment score and/or on the computerized neuropsychological battery, as compared with age- and education-matched published norms. Dementia was diagnosed by a consensus forum that included senior neurologists specializing in memory disorders and a neuropsychologist. RESULTS: Data were obtained from 306 consecutive eligible patients (mean age: 67.1 ± 10.0 years) who were admitted to the department of emergency medicine at the Tel Aviv Medical Center from April 1, 2008, to December 1, 2011, within 72 hours from onset of symptoms of TIA or stroke. Of these patients, 51 (16.7%) developed cognitive impairment during a 2-year follow-up. Multivariate regression analysis showed that a Geriatric Depression Scale (GDS) score ≥ 6 at admission and at 6 months after the event was a significant independent marker of cognitive impairment 2 years after the stroke/TIA (OR = 3.62, 95% CI, 1.01-13.00; OR = 3.68, 95% CI, 1.03-13.21, respectively). A higher GDS score at 6 months was also related to a worse functional outcome (P < .001). CONCLUSIONS: Our results support depression screening among stroke and TIA survivors as a tool to identify patients who are prone to have a worse cognitive and functional outcome. These patients may benefit from closer medical surveillance and a more intensive treatment approach. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT01926691.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".