The Change of Cognitive Function in Patients with Depression without Insomnia
Bibliographic record
Abstract
Objective To explore cognitive function assessed by Montreal Cognitive Assessment Scale(MoCA)in patients with pure depression.Methods The patients were single major depressive episode.Following an assessment of depressive severity by Hamilton Depression Rating Scale 17(HAMD17),the patients were divided into two groups:mild depression(7～17 scores,41 cases),moderate to severe depression(more than 17 scores,30 cases),and their cognitive function was evaluated by Montreal Cognitive Assessment Scale(MoCA).Results In the moderate-severe depression group the MoCA's total score and some factor scores were significantly lower compared to the mild depression group and the control group respectively(P0.05),there was no significant difference between mild depression group and the control group.Multiple linear regression analysis showed that the factors impaired cognition were depressive severity,age and years of education,with anxiety being the strongest influential factors among all factors of HAMD17.Conclusion Moderate or severe depression could affect cognitive function and anxiety factor was dominant.
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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 | 0.001 |
| 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 | 0.000 |
| 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".