A cluster randomized controlled Trial to Evaluate an Ambulatory primary care Management program for patients with dyslipidemia: the TEAM study
Bibliographic record
Abstract
BACKGROUND: Few studies have reported the efficacy of collaborative care involving family physicians and community pharmacists for patients with dyslipidemia. METHODS: We randomly assigned clusters consisting of at least two physicians and at least four pharmacists to provide collaborative care or usual care. Under the collaborative care model, pharmacists counselled patients about their medications, requested laboratory tests, monitored the effectiveness and safety of medications and patients' adherence to therapy, and adjusted medication dosages. After 12 months of follow-up, we assessed changes in low-density lipoprotein (LDL) cholesterol (the primary outcome), the proportion of patients reaching their target lipid levels and changes in other risk factors. RESULTS: Fifteen clusters representing a total of 77 physicians and 108 pharmacists were initially recruited, and a total of 51 physicians and 49 pharmacists were included in the final analyses. The collaborative care teams followed a total of 108 patients, and the usual care teams followed a total of 117 patients. At baseline, mean LDL cholesterol level was higher in the collaborative care group (3.5 v. 3.2 mmol/L, p = 0.05). During the study, patients in the collaborative care group were less likely to receive high-potency statins (11% v. 40%), had more visits with health care professionals and more laboratory tests, were more likely to have their lipid-lowering treatment changed and were more likely to report lifestyle changes. At 12 months, the crude incremental mean reduction in LDL cholesterol in the collaborative care group was -0.2 mmol/L (95% confidence interval [CI] -0.3 to -0.1), and the adjusted reduction was -0.05 (95% CI -0.3 to 0.2). The crude relative risk of achieving lipid targets for patients in the collaborative care group was 1.10 (95% CI 0.95 to 1.26), and the adjusted relative risk was 1.16 (95% CI 1.01 to 1.34). INTERPRETATION: Collaborative care involving physicians and pharmacists had no significant clinical impact on lipid control in patients with dyslipidemia. International Standard Randomized Controlled Trial register no. ISRCTN66345533.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".