Evaluation of Age-Specific Efficacy and Safety of 12 Months of Sitagliptin Therapy Administered by Non-Diabetologists
Bibliographic record
Abstract
Background: The mean age of overall incident dialysis patients is 68.9 years for men and 71.4 years for women, and it is increasing yearly, and diabetic nephropathy is the most common underlying disease of it. On the other hand, the number of diabetologist has been insufficient for an ever-increasing number of diabetic patients in Japan. In this context, the examination and treatment of diabetes in non-specialist settings, as well as in specialist settings, have become important. Methods: A multicenter, retrospective, observational study was conducted in Kanagawa, Japan. Laboratory data were compiled for 1 year at intervals of 3 months following the start of sitagliptin treatment. The subjects were divided into three groups by age: < 65 years (n = 148), 65 - 74 years (n = 134), and >= 75 years (n = 127). Laboratory values in comparison with baseline were compared within groups at various time points, and changes from baseline were compared among the different groups. Participating doctors were not diabetologists. Results: In the 65 - 74 and >= 75 years of age groups, estimated glomerular filtration rate (eGFR) was decreased significantly from baseline at months 3, 6, 9, and 12, whereas there was no significant decrease from the month-3 value at months 6, 9, or 12. Meanwhile, in the < 65 years of age group, eGFR was decreased significantly from baseline at months 9 and 12, whereas changes at months 3 and 6 were not significant. There were significant differences in the magnitude of eGFR changes among age groups at month 3, but not at months 6, 9, or 12. Hemoglobin A1c (HbA1c) was reduced significantly at month 3, and the reduced level was maintained until month 12 in all age groups. Conclusions: The efficacy and safety of sitagliptin therapy in the elderly were confirmed in non-specialist settings. These findings will help non-diabetologists choose an appropriate drug in areas where the numbers of diabetic patients and elderly persons are increasing. J Endocrinol Metab. 2020;10(1):23-29 doi: https://doi.org/10.14740/jem634
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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 | 0.002 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".