Outcomes of a multidisciplinary approach to the management of the metabolic syndrome
Bibliographic record
Abstract
Background:Patients with the metabolic syndrome (determined by NCEP ATPIII criteria) are at increased risk for the development of diabetes, cardiovascular disease, and cancer.Objectives:We sought to determine whether treating patients at a dedicated community-based clinic using a multidisciplinary program would result in positive changes in predetermined clinical indicators of the metabolic syndrome.Methods:Patients were referred to the clinic by either family physicians or specialists. They were seen individually by a health care team consisting of a registered dietitian, a registered nurse, a pharmacist, and an endocrinologist. Patients were counselled with regard to lifestyle changes and pharmacotherapy in order to achieve targets for glucose, lipids, blood pressure, and weight. Patients remained on the program for a maximum of 6 months.Results:There were statistically significant changes for the first 76 patients who completed at least 4 of 6 monthly visits. The following parameters decreased: waist c...
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".