Preliminary result of poststroke depression:clinical characterics and therapy
Bibliographic record
Abstract
Objective:To analyze clinical features,mechanisms and outcomes of poststroke depression.Methods:First-ever acute cerebral infarction patients(n=111) who were extracted from Nanjing stroke registration were evaluated with the Hamilton Rating scale for Depression(HAMD) 2 weeks after the onset,as well as the Activity of Daily Living Scale,and Mini-Mental State Examination were also included.Poststroke depression(PSD) patients were randomly treated with citalopram or fluoxetine,and the above-mentionde scales were re-tested 3 months after treatment.Results:There are 44 patients diagnosed with PSD(39.6%)in 111 envolled patients.Patients with left hemisphere infarction developed depression significantly more predominant than patients with right hemisphere infarction.PSD associated with lesions of the frontal cortex,temporal cortex,basal ganglia and cerebral ganglion(OR1),but these differences were not significant between the groups.ADL score and MMSE score were significantly different between depression group and no-depression group(P0.05).After 3 months with antidepresson treatment with citalopram or fluoxetine,HAMD and ADL improved significant two treatment groups(P0.01),but there was no difference two groups(P0.05).Conclusion:Incidence of PSD was high.Development of PSD related to the lateracy of infarction.PSD can influence activity of daily life and cognition.Citalopram and fluoxetine have equivalently good effects in treating PSD.
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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) | 0.002 | 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".