1626-P: Differences in Patient-Reported Outcomes (PROs) by Age and Region in Adults with Type 1 Diabetes (T1D) in the SAGE Study
Bibliographic record
Abstract
T1D is a chronic disease impacting patients’ lives and psychosocial health; we explored how this may vary by age and region. SAGE was a multinational, cross-sectional observational study using data from medical records and interviews of participants (N=3858) aged ≥26 years with T1D for ≥1 year. Results from PROs questionnaires (Hypoglycemia Fear Survey [HFS-II], Problem Areas in Diabetes [PAID], Insulin Treatment Satisfaction Questionnaire [ITSQ], Audit of Diabetes-Dependent Quality of Life [ADDQoL]) were analyzed by region (Asia [A], Eastern Europe [EE], Western Europe [WE], Latin America [LA], Middle East [ME]) and age group (26-<45; 45-<65; ≥65 years). HFS-II scores showed fear of hypoglycemia was lowest in A for all age groups (Table). HFS-II scores increased with age in EE and decreased with age in LA. PAID scores showed highest levels of emotional distress in ME for all age groups. ITSQ scores showed treatment satisfaction increased with age in WE, LA and ME, and was more stable in EE and A. ADDQoL total scores showed a small negative impact of T1D on quality of life, with the highest and lowest impact in EE and ME, respectively, across all ages. PROs scores indicated relatively low levels of diabetes-related impact and high treatment satisfaction. Age and regional differences may reflect variations in T1D control and management, as well as cultural and healthcare-system-related factors. Disclosure L. Berard: Consultant; Self; Abbott, AstraZeneca, Bayer Healthcare Pharmaceuticals Inc., Becton, Dickinson and Company, Eli Lilly and Company, Janssen Pharmaceuticals, Inc., Montméd, Novo Nordisk Inc., Sanofi. Speaker’s Bureau; Self; Boehringer Ingelheim (Canada) Ltd. F. Ampudia Blasco: None. S. Brette: Other Relationship; Self; Sanofi. D. Bruttomesso: Consultant; Self; Abbott, Eli Lilly and Company, Movi, Novo Nordisk, Roche Diagnostics, Sanofi. K.L. Close: Other Relationship; Self; Abbott, Air Liquide, American Diabetes Association, AstraZeneca, Dexcom, Inc., Janssen Pharmaceuticals, Inc., JDRF, Leona M. and Harry B. Helmsley Charitable Trust, Lilly Diabetes, Merck & Co., Inc. H. Ikegami: None. D. Jurišic-Eržen: None. F. Lauand: Employee; Self; Sanofi. A.L. Peters: Advisory Panel; Self; Abbott, Bigfoot Biomedical, Boehringer Ingelheim Pharmaceuticals, Inc., Eli Lilly and Company, MannKind Corporation, Medscape, Novo Nordisk Inc., Sanofi US. Consultant; Self; Livongo Health. Research Support; Self; Dexcom, Inc., vTv Therapeutics. Other Relationship; Self; Livongo Health, Mellitus Health, Omada Health, Stability Healthcare, Whole Biome Inc. V. Pilorget: Employee; Self; Sanofi. R. Balamurugan: None. E. Renard: Board Member; Self; Abbott, Insulet Corporation, Novo Nordisk A/S, Roche Diabetes Care. Consultant; Self; Air Liquide, Eli Lilly and Company, Sanofi. Research Support; Self; Dexcom, Inc., Tandem Diabetes Care. E.G. Wilmot: Advisory Panel; Self; Abbott, Dexcom, Inc., Eli Lilly and Company, Insulet Corporation, Medtronic. Speaker’s Bureau; Self; Abbott, Eli Lilly and Company, Insulet Corporation, Novo Nordisk Inc., Sanofi. A. Roborel de Climens: Employee; Self; Sanofi. Funding Sanofi
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".