Cognitive Impairment and Its Correlation with Depression
Why this work is in the frame
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Bibliographic record
Abstract
Objective: To determine the correlation between the severity of depression and cognitive impairment. Study Design: Cross-sectional study. Place and Duration of Study: Department of Psychiatry, Combined Military Hospital, Gujranwala, Pakistan from May 2016 to December 2016. Methodology: The cross-sectional study was conducted on outpatients in the Department of Psychiatry at Combined Military Hospital Gujranwala. The diagnosis of depression was made based on the WHO's ICD10 diagnostic criteria, and symptom severity was assessed using the Beck Depressive Inventory. Deirdre M. used the Montreal Cognitive Assessment version 7.1 to assess cognitive impairment. Results: Eighty-six subjects were included in this study. A comparison of cognitive impairment and depression revealed that in a total of 16 subjects with minimal depression, only 5 had cognitive impairment; in 14 subjects with mild depression, 11 showed cognitive impairment; 26 subjects had moderate depression, out of which 18 showed signs of cognitive impairment; and among 30 subjects with severe depression, there was cognitive impairment in 25 individuals. The Spearman correlation showed a weak correlation of 0.321 (p<0.001). Conclusion: A high level of depressive symptoms, although weak, is significantly correlated with cognitive impairment.
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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 | 0.000 |
| 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 | 0.001 |
| 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 it