Effect of St. John's wort extracts on the treatment of depressive disorder in elderly patients with unstable angina
Bibliographic record
Abstract
Objective To explore the effect of St. John' s wort extracts (SWE) on depressive disorder in el-der patients with unstable angina. Method A total of 170 patients, who fulfil the criteria, were enrolled in this prospective study. Patients were randomly assigned to SWE group (44 cases), Deanxit group (44 cases), psy-chotherapy group (42 cases) and control group (40 cases). The effectiveness of the treatments were evaluated with the reduced percentages of hamiltion depression (HAMD) scale and reduced frequency of angina pectoris attack,which were measured before and after 12 weeks of the above treatment. Results (1) The reduced percentages of HAMD scales were 79.5%, 56.8% and 57.1% in SWE, Deanxit and psychotherapy group, respectively. Com-pared with the control, the differences were significant (P ＜ 0.01). The change in SWE group was even more sig-nificant than in Deanxit or psychotherapy group (P ＜ 0.05). (2) Changes of angina pectoris evaluated by Canada Cardiac Society classification were significantly better in the treatment groups (88.7%,65.9%,57. 1%) than control group,and the change in SWE group was even more significant (P ＜ 0.01). (3) Angina pectoris attack frequencies, durations and electrocardiogram changes were significantly better in the treatment groups than control group (F= 6.05,4.58,5.12,P ＜ 0.01), and the change in SWE group was even more significant (P ＜ 0.05). Conclusions Hie present study demonstrated that SWE can improve depressive symptoms signifi-cantly in elderly patients with unstable angina than Deanxit or psychotherapy, which also contribute to better man-agement of angina attack as well. Key words: St.John's wort extracts (SWE); Depression; Elderly patients; Coronary heart disease; Unsta-ble angina; Psychotherapy
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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 | 0.000 |
| 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 | 0.000 |
| 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".