Bibliographic record
Abstract
Objective:To explore the therapeutic effect of nicorandil based on routine medication on stable coronary heart disease(CHD).Methods:A total of 100 inpatients diagnosed as stable CHD were enrolled,randomly and equally divided into nicorandil group(received nicorandil 5mg based on routine medication,three times/d)and routine treatment group.After discharge,patients were followed up for six months.Angina pectoris frequency,ECG,serum level of high sensitive C reactive protein(hsCRP)and 6min walking distance(6MWD)were compared between two groups before and after follow up.Results:After six-month follow up,compared with routine treatment group,there were significant improvements in clinic therapeutic effect(48% vs.74%)and ECG therapeutic effect(78% vs.96%)in nicorandil group,P0.05all;compared with before follow-up,there were significant reductions in angina pectoris frequency and serum hsCRP level;and significant rise in 6MWD in both groups,P0.05all;compared with routine treatment group,there were significant reductions in angina pectoris frequency[(10.35±1.51)times/week vs.(9.95±1.65)times/week]and hsCRP level[(1.12±0.51)mg/L vs.(0.95±0.43)mg/L];and significant increase in 6MWD [(342.38±35.64)m vs.(388.64±32.43)m]in nicorandil group,P0.05 all.Conclusion:Nicorandil can effectively reduce the attack number of angina pectoris of stable coronary heart disease and serum hsCRP level,increase exercise tolerance and improve clinical therapeutic effect.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".