A Cross-sectional Survey of Hypertension Diagnosis and Treatment Practices Among Physicians in Yaroslavl Region, Russia
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Bibliographic record
Abstract
INTRODUCTION: In Russia, cardiovascular (CV) mortality is the leading cause of death. With the prevalence of hypertension in adults reaching 40%, hypertension is a key priority for health authorities to improve its prevention, diagnosis, and treatment. This requires an evaluation of current clinical practices in order to develop specific improvement initiatives. METHODS: This cross-sectional survey was conducted in 39 outpatient institutions of Yaroslavl region from April to May 2011. A total of 180 physicians (154 general practitioners [GPs]; 26 cardiologists) completed diaries on 10 consecutive patients whose visits were related to hypertension. This survey was approved by the Department of Health and Pharmacy of Yaroslavl region. RESULTS: A total of 1,794 diaries (1,525 from GPs; 269 from cardiologists) were analyzed. The majority of patients were women (60%), mean age was 60 years, and most (97%) were on antihypertensive therapy. Mean blood pressure (BP) was 151/90 mmHg and goal BP (<140/90 mmHg) was achieved in 17% of patients. The distribution of patients' systolic BP (SBP) was: 20% controlled (<140 mmHg), 44% SBP 140-159 mmHg, 26% SBP 160-179 mmHg, and 10% SBP≥180 mmHg. The most common CV risk factors included left ventricular hypertrophy (72% of patients), abdominal obesity (54%), dyslipidemia (48%), family history of early CV events (33%), smoking (24%), and type 2 diabetes (21%). Heart diseases and cerebrovascular diseases were reported in 48% and 15% of patients, respectively, and regular alcohol consumption was mentioned by 37%. CONCLUSION: The majority of patients with hypertension had additional CV risk factors and associated clinical conditions. Blood pressure control rates in Yaroslavl region are similar to those for Russia as a whole, but much lower than countries that have successfully implemented comprehensive hypertension intervention programs, such as Canada.
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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 | 0.001 | 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 | 0.001 |
| 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 it