High-dose St. John's wort extract STW 3-VI as a daily single-dose is safe and effective in the treatment of mild to moderate depression in different age-groups – results of a re-evaluation
Bibliographic record
Abstract
Objectives: In a post-marketing surveillance study (1) 4188 patients of 793 general practitioners were included. The patients suffered mainly from mild to moderate depression and dysthymia according to ICD 10 and were treated with St. John's wort extract (STW 3-VI, 900mg extract) 1×1 tablet daily for 12 weeks. This revaluation assessed the change of the Hamilton Depression Rating Scale (HAMD) scores over time to different age-groups. Methods: An analysis of variance (ANOVA) for repeated measures (SPSS 15.0) was conducted. Only patients with completed data for all measurements were revaluated. Results: 1701 patients with mild depression, 1433 patients with moderate depression and 194 patients with dysthymia were revaluated (913 male, 2415 female patients). The 3 main ICD-10 disease classes showed a significant and comparable change of the HAMD-scores over time with very similar scores in moderate depression and dysthymia (mild depression: HAMD-means: 13.5at baseline vs. 3.3 after 12 weeks; moderate depression: HAMD-means: 18.2at baseline vs. 5.5 after 12 weeks). In a 2. analysis the patients were separated into 7 age-groups (from <18 years to >65 years). All age-groups, including the elderly, showed the above mentioned significant and comparable change of the HAMD-scores over time. Conclusion: This revaluation indicates that there is neither an influence of the disease classification (i.e. mild or moderate depressive disorders) nor of the age to the time course of the treatment outcome in patients treated with St. John's wort extract (STW 3-VI). References: 1. Demling et al., Nervenheilkunde 2004, 23:160.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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".