Predicting efficacy of dipeptidyl peptidase‐4 inhibitors in patients with type 2 diabetes: Association of glycated hemoglobin reduction with serum eicosapentaenoic acid and docosahexaenoic acid levels
Bibliographic record
Abstract
This study was initiated to identify clinical and dietary parameters that predict efficacy of dipeptidyl peptidase-4 inhibitors. A total of 72 untreated Japanese patients with type 2 diabetes who received DPP-4 inhibitors (sitagliptin, alogliptin or vildagliptin) for 4 months were examined for changes of glycated hemoglobin (HbA1c) and body mass index (BMI), and self-administered 3-day food records, as well as serum levels of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). DPP-4 inhibitors significantly reduced HbA1c (before initiation of DPP-4 inhibitors 7.2 ± 0.7%, 4 months after initiation of DPP-4 inhibitors 6.7 ± 0.6% [paired t-test, P < 0.01 vs before]). Multiple regression analysis showed that changes of HbA1c were significantly correlated with baseline HbA1c, as well as estimated intake of fish. Furthermore, changes of HbA1c were significantly correlated with serum levels of EPA (r = -0.624, P < 0.01) and DHA (r = -0.577, P < 0.01). HbA1c reduction by DPP-4 inhibitors is significantly correlated with estimated intake of fish and serum levels of EPA and DHA. (J Diabetes Invest, doi: 10.1111/j.2040-1124.2012.00214.x, 2012).
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How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".