The rapidly increasing incidence of type 2 diabetes and macrovascular and microvascular complications disproportionately affects younger age groups: A decade of evidence from an international federated database
Bibliographic record
Abstract
AIMS: To characterise recent trends in incidence and prevalence of type 2 diabetes (T2D) associated complications, and their relative impact across the lifespan. METHODS: We conducted a retrospective cohort study using the TriNetX global federated database. Incidence and prevalence of T2D and associated complications: ischaemic heart disease (IHD), heart failure, cerebral infarction, neuropathy, nephropathy, and retinopathy were assessed between 2012 and 2023. Incidence odds ratios (IOR) were calculated by age group. RESULTS: 7,918,666 individuals had T2D. The IOR (95 % CI), comparing individuals aged ≥ 85 years to < 35 years decreased for all complications from 2012 to 2023: IHD [IOR 6.82, (6.40, 7.26) to IOR 2.27 (2.17, 2.38)], heart failure [IOR 5.38, (5.03, 5.75) to IOR 1.80 (1.72, 1.89)], cerebral infarction [IOR 3.06, (2.76, 3.40) to IOR 1.45 (1.34, 1.57)], neuropathy [IOR 0.84, (0.74, 0.95) to IOR 0.47 (0.44, 0.49)], nephropathy [IOR 1.14, (1.03, 1.27) to IOR 0.90 (0.87, 0.94)] and retinopathy [IOR 0.56, (0.50, 0.63) to IOR 0.27 (0.25, 0.29)]. CONCLUSIONS: Rising rates of T2D associated complications in younger adults signal an emerging epidemic of early-onset comorbidity with substantial lifetime burden. These findings emphasise the urgent need for earlier detection, aggressive risk factor management, and targeted prevention strategies in younger populations.
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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 | 0.010 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".