1630-P: Glycemic Burden and Treatment Effectiveness in Young-Onset Type 2 Diabetes
Bibliographic record
Abstract
Objective: To examine how T2D onset age affects A1C trajectory and A1C lowering with insulin and other drugs. Methods: We conducted a cohort study (2000-16) in adults aged 18-75 years (y) with young-onset T2D (YOD; onset age <40 y) and usual-onset T2D (UOD; onset age ≥40 y). In the Hong Kong Diabetes Registry (n=21,016), we estimated the mean glycemic burden (area under curve of A1C over time) across the lifespan, stratifying by onset age. In the population-based Hong Kong Diabetes Surveillance Database (n=328,199), we examined the effect of onset age on A1C trajectory for incident T2D using linear mixed effects models, accounting for drugs using time-varying covariates. We followed for 10 y, censoring at death or insulin start. For those started on insulin (n=20,877), we used similar methods to examine the effect of time to insulin start on the post-insulin A1C trajectory. Results: Glycemic burden was tripled in YOD versus UOD (38.8 versus 11.8 A1C-y). After accounting for drugs, YOD was associated with a higher baseline A1C (7.6%) and slope (0.05%/y) versus UOD (7.4%, 0.00%/y). Non-insulin drugs lowered A1C similarly across onset ages. The post-insulin A1C remained elevated for YOD, regardless of time to insulin start, but improved significantly for UOD. Conclusions: YOD is associated with an aggressive A1C rise and excess glycemic burden despite insulin and other drugs. More effective strategies are needed to lower A1C in people with YOD. Disclosure C. Ke: None. A. Luk: None. B.R. Shah: None. T. Stukel: None. E.S. Lau: None. R.C. Ma: Advisory Panel; Self; Boehringer Ingelheim International GmbH. Research Support; Self; AstraZeneca, Bayer AG, Pfizer Inc. Stock/Shareholder; Self; GemVCare. Other Relationship; Self; AstraZeneca. A.P. Kong: Advisory Panel; Self; Lilly Diabetes. Research Support; Self; AstraZeneca, Lilly Diabetes. Speaker's Bureau; Self; Abbott. Other Relationship; Self; AstraZeneca, Novartis Pharmaceuticals Corporation, Sanofi. E. Chow: Research Support; Self; Powder Pharmaceuticals Inc., Sanofi-Aventis. J.C. Chan: Board Member; Self; Asia Diabetes Foundation. Consultant; Self; AstraZeneca, Boehringer Ingelheim Pharmaceuticals, Inc., Lilly Diabetes, Medtronic, Merck Sharp & Dohme Corp., Sanofi-Aventis. Research Support; Self; Amgen Inc., AstraZeneca, Lee Powder, Lilly Diabetes, Pfizer Inc., Sanofi-Aventis. Speaker's Bureau; Self; Ascensia Diabetes Care. Stock/Shareholder; Self; GemVCare. Funding University of Toronto; Royal College of Physicians and Surgeons of Canada; Canadian Society of Endocrinology and Metabolism; Chinese University of Hong Kong; Asia Diabetes Foundation
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".