Changes Over Time in Glycemic Control, Insulin Sensitivity, and β-Cell Function in Response to Low-Dose Metformin and Thiazolidinedione Combination Therapy in Patients With Impaired Glucose Tolerance
Bibliographic record
Abstract
OBJECTIVE: In the Canadian Normoglycemia Outcome Evaluation (CANOE) trial, low-dose rosiglitazone/metformin reduced the risk of diabetes in subjects with impaired glucose tolerance by 66% over a median of 3.9 years. We evaluate the temporal changes in glycemic control, insulin sensitivity, and β-cell function during this trial. RESEARCH DESIGN AND METHODS: CANOE participants (n=207) underwent annual oral glucose tolerance testing, enabling temporal comparison of glycemia, insulin sensitivity (Matsuda index), and β-cell function (insulin secretion-sensitivity index-2 [ISSI-2]) between the rosiglitazone/metformin and placebo arms. RESULTS: Glycemic parameters and insulin sensitivity improved in the rosiglitazone/metformin arm in year 1, but deteriorated in the years thereafter as in the placebo arm. Generalized estimating equation analysis confirmed that both insulin sensitivity and β-cell function decreased over time (Matsuda: β=-0.0515, P<0.0001; ISSI-2: β=-6.6507, P<0.0001), with no significant time-by-treatment interaction (Matsuda: P=0.57; ISSI-2: P=0.22). CONCLUSIONS: Despite preventing incident diabetes, low-dose rosiglitazone/metformin did not modify the natural history of worsening insulin resistance and β-cell dysfunction.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".