Hypertension control: results from the Diabetes Care Program of Nova Scotia registry and impact of changing clinical practice guidelines
Bibliographic record
Abstract
BACKGROUND: The objective of this study was to determine the rate of blood pressure control according to 4 sets of Canadian guidelines published over a decade in patients with diabetes mellitus attending Diabetes Centres in the province of Nova Scotia. METHODS: One hundred randomly selected charts from each of 13 Diabetes Centres audited between 1997 and 2001 were extracted from the Diabetes Care Program of Nova Scotia Registry. Multivariate logistic regression analyses examined the relationship between individual characteristics and self-reported antihypertensive use. Included were 1132 adults, mean age 63 years (48% male), with 9 years mean time since diagnosis of diabetes. RESULTS: According to the 1992 guidelines, 63% of the patients and according to the 2003 guidelines, 84% of patients were above target blood pressure or receiving antihypertensive medications. Forty-seven percent of patients are considered to be hypertensive and not on treatment according to 2003 guidelines. The results of the multivariate analyses showed that the only factors independently associated with anti-hypertensive use was oral anti-hyperglycemic use. CONCLUSION: Hypertension is an additional risk factor in those with diabetes mellitus for macrovascular and microvascular complications. The health and budgetary impacts of addressing the treatment gap need to be further explored.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".