Economic evaluation of therapeutic interventions to prevent Type 2 diabetes in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIMS: To compare the health and economic outcomes of using acarbose, an intensive lifestyle modification programme, metformin or no intervention to prevent progression to diabetes in Canadian individuals with impaired glucose tolerance (IGT). METHODS: A model was developed to simulate the course of individuals with IGT under each treatment strategy. Patients remain in the IGT state or transition from IGT to diabetes, to normal glucose tolerance (NGT) or to death. Effectiveness and resource use data were derived from published intervention trials. A comprehensive health-care payer perspective incorporating all major direct costs, reported in 2000 Canadian dollars, was adopted. RESULTS: Over a decade, 70 of the 1000 untreated patients are expected to die and 542 develop diabetes. Intensive lifestyle modification is estimated to prevent 117 cases of diabetes, while metformin would prevent 52 and acarbose 74 cases. The proportion of those who return to NGT also increases with any treatment. While lifestyle modification is more effective, it can increase overall costs depending on how it is implemented, whereas acarbose and metformin reduce costs by nearly $1000 per patient. Lifestyle modification was cost effective, varying from CAD $10 000/LYG vs. acarbose. Acarbose costs somewhat more than metformin, but is more effective: CAD $1798/LYG. CONCLUSION: The results of this model suggest that the treatment of IGT in Canada is a cost-effective way to prevent diabetes and may generate savings. While pharmacological treatments tended to be less costly, intensive lifestyle modification, if maintained, led to the greatest health benefits at reasonable incremental costs.
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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) | 0.001 | 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) | 0.001 | 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 it