Пацієнт зі стабільною ішемічною хворобою серця в Україні та Європі: результати 5-річного реєстру CLARIFY
Bibliographic record
Abstract
CLARIFY (The prospeCtive observational LongitudinAl RegIstry oF patients with stable coronary arterY disease) is a large multicenter project in the patients with a stable coronary artery disease (CAD). Within 5 years (2009–2014) 32,703 patients with confirmed diagnosis of CAD from 45 countries worldwide took part in the registry. Study results have demonstrated the significant differences between the current international standards of management and real-life clinical practice. Despite the fact that Ukrainian doctors actively used the complete list of the medicinal products recommended in the stable CAD (ASA, statins, BBs, ivabradine, ACE inhibitors), the control of therapy efficacy was very low and not only relative to the symptoms (after 5-year follow-up, angina attacks were persistent in 74 % of patients versus 16.9 % of the European patients). It should be noted that the clinical status of patients enrolled in Ukraine was more severe compared with the general group: 24.1 % of patients with the severe angina (ІІІ FC), in Europe – 2.2 %, in the world population – 1.6 %. Rate of the myocardial revascularization (surgical, endovascular) was very low in Ukraine as for 5-year study – only 5.9 %. As a result, our patients had 2-fold need in the hospitalization, 2-fold rate of fatal MI and acute cerebrovascular accidents (stroke + TIA) and 3-fold rate of the unstable angina. Control of such main risk factors of CAD, as BP levels < 140/90 mm Hg, LDL cholesterol levels < 1.8 mmol/L, HR < 70 beats per minute was insufficient both in the Ukrainian and global populations. During the study both Ukrainian and European patients have not demonstrated the dynamics in life style modification (majority of subjects continued sedentary lifestyle, were overweight, had signs of the abdominal obesity and smoked). Taking into consideration the results of the CLARIFY study, significant optimization of management of patients with stable CAD is still necessary.
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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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".