Poststroke Cognitive Decline: A Longitudinal Study from a Tertiary Care Center
Bibliographic record
Abstract
Abstract Objectives Poststroke cognitive decline (PSCD) is a serious disabling consequence of stroke. The purpose of this study is to find the prevalence of PSCD and sociodemographic and clinical determinants of risk factors of PSCD. Materials and Methods This study was a prospective, hospital-based study conducted on 200 stroke patients from stroke registry during October 2015 to April 2017. Detailed clinical evaluation was done. Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores were used to determine PSCD after 3 and 6 months as per the Diagnostic and Statistical Manual of Mental Disorders V. Chi-squared test was used to find the association between two variables. The Wilcoxon signed-rank test was used to compare the difference in cognitive impairment between two follow-ups at 3 and 6 months, respectively. A p-value < 0.05 was considered statistically significant. Results The prevalence of PSCD measured by MoCA scale at 3 and 6 months was 67 and 31.6%, respectively. By MMSE scale, cognitive decline prevalence at 3 months was found to be 87 (46.3%), which reduced to 22 (17.1%) at 6 months. The association between MMSE scale and type of stroke was significant at 3 months. Conclusion One-third of the stroke patients developed PSCD within 3 months of onset of stroke, with different levels of severity. The major predictors of new-onset poststroke cognitive impairment were diabetes and hypertension. The prevalence of PSCD reduced significantly at 6 months of stroke on follow-up.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".