455-P: Global Comparisons of Awareness of Chronic Kidney Disease and Renoprotective Therapies among Type 1 Diabetes Patients
Bibliographic record
Abstract
Chronic kidney disease (CKD) is a long-term complication of diabetes affecting millions of people worldwide. CKD screening is recommended annually for patients with type 1 diabetes (T1D) with duration of ≥5 years. Diabetes drugs like SGLT-2 inhibitors, approved for T1D patients in Europe but not in the US, have been found to improve renal outcomes. In this study, from September-November 2020, adults with T1D in the US (n=1,561), Canada (n=350), Italy (n=301), Sweden (n=120), Germany (n=380), France (n=298), UK (n=370), and Netherlands (n=180) from an opted-in research panel rated their level of agreement with statements about CKD risk and renoprotective therapies. Health and demographic information were also collected. More respondents in the US, Italy, and Canada strongly agreed that diabetes increases CKD risk than those in Sweden, UK, and Netherlands (61%, 58%, 57% vs. 44%, 42%, 38%). Across most countries, PWD who had received a screening for CKD were more likely to strongly agree that having diabetes increases CKD risk. In the US, Canada, Sweden, and the UK, those who had been screened were more likely to indicate awareness of diabetes drugs’ renoprotective benefits; however, overall awareness was low, especially among European respondents. This data emphasizes the importance of regular screenings and improving awareness among patients to prevent CKD and further complications.View largeDownload slideView largeDownload slide DisclosureE. Ye: Other Relationship; Self; dQ&A. J. Stevenson: Other Relationship; Self; Abbott, Ascensia Diabetes Care, Dexcom, Inc., Eli Lilly and Company, Insulet Corporation, LifeScan, Medtronic, Roche Diabetes Care, Senseonics, Tandem Diabetes Care. J. Tait: Other Relationship; Self; dQ&A Market Research Inc. R. Gowen: Other Relationship; Self; dQ&A. S. Suhl: Other Relationship; Self; dQ&A has several clients (>10) in the diabetes field. C. Florissi: Other Relationship; Self; Abbott Diabetes, Ascensia Diabetes Care, Dexcom, Inc., Insulet Corporation, LifeScan, Lilly Diabetes, Medtronic, Roche Diabetes Care, Senseonics, Tandem Diabetes Care. C. Pang: Employee; Self; dQ&A Market Research Inc. R. Wood: Research Support; Self; Abbott Diabetes, American Diabetes Association, Ascensia Diabetes Care, Boehringer Ingelheim International GmbH, Dexcom, Inc., Eli Lilly and Company, Insulet Corporation, Medtronic, Novo Nordisk Inc., 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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".