Long‐term effects of pioglitazone and metformin on insulin sensitivity in patients with Type 2 diabetes mellitus
Bibliographic record
Abstract
AIM: Despite their comparable glycaemic effects in patients with Type 2 diabetes mellitus (T2DM), pioglitazone and metformin may have different effects on insulin sensitivity because they have different mechanisms of action. We studied the changes in insulin sensitivity, as assessed by the Quantitative Insulin Sensitivity Check Index (QUICKI), in patients with T2DM who used metformin or pioglitazone as monotherapy or in combination therapy with sulphonylurea. METHODS: Data in this report are from two multicentre, randomized, double-blind, double-dummy studies conducted in Europe (monotherapy) or in Europe and Canada (combination therapy study). Patients were randomized to 52 weeks of treatment consisting of a 12-week forced titration period and a 40-week maintenance period. HbA(1c), fasting plasma glucose (FPG) and fasting serum insulin (FSI) were quantified from a single blood sample at weeks 0, 8, 16, 24, 32, 42 and 52. Insulin sensitivity was assessed with QUICKI, which is calculated from FSI and fasting blood glucose (FBG) concentrations using the formula 1/(log(10) FSI + log(10) FBG). Time course effects of the treatments were compared by repeated measures analysis of covariance. RESULTS: As monotherapy, pioglitazone and metformin increased QUICKI compared with baseline (baseline vs. end point [mean +/- sem]; pioglitazone [0.303 +/- 0.001 vs. 0.321 +/- 0.001; P < 0.001] and metformin [0.304 +/- 0.001 vs. 0.315 +/- 0.001; P < 0.001]). Pioglitazone increased insulin sensitivity more than metformin from week 4 through week 52. There were significant increases in QUICKI from baseline in both combination therapy groups (baseline vs. end point; pioglitazone + sulphonylurea [0.305 +/- 0.001 vs. 0.319 +/- 0.001; P < 0.001] and metformin + sulphonylurea [0.306 +/- 0.001 vs. 0.317 +/- 0.001; P < 0.001]). Overall, pioglitazone + sulphonylurea significantly increased insulin sensitivity more than metformin + sulphonylurea. CONCLUSION: Pioglitazone differed from metformin in its effects on insulin sensitivity despite both drugs having comparable glycaemic effects.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".