Effect of inhaled insulin on patient-reported outcomes and treatment preference in patients with type 1 diabetes
Bibliographic record
Abstract
OBJECTIVE: To compare patient-reported outcomes and treatment preference between preprandial inhaled insulin and preprandial subcutaneous (SC) insulin in the context of a clinical trial of crossover design with a primary objective of comparing HbA(1C) between groups. RESEARCH DESIGN AND METHODS: Multi-center, randomized, open-label, two-arm crossover trial conducted in the US and Canada with two 12-week periods comparing preference between preprandial human insulin inhalation powder (HIIP; AIR inhaled insulin) and preprandial SC insulin (regular human insulin or insulin lispro) in patients with type 1 diabetes. Patients received HIIP plus insulin glargine during period 1 and SC insulin plus insulin glargine during period 2, or the reverse sequence. MAIN OUTCOME MEASURES: SF-36 Vitality Subscale, Diabetes Symptom Checklist-Revised subscales, Diabetes Treatment Satisfaction Questionnaire, Insulin Delivery System Questionnaire, HIIP-specific questionnaire, preference question. RESULTS: Of 137 patients entered, 119 completed the study (54% female, mean age 40.9 +/- 12.4 years, mean HbA(1C) 8.1 +/- 1.0%). Patients had significantly greater treatment satisfaction and more positive evaluation of their insulin delivery system (easier to control blood sugar, less lifestyle impact) with HIIP than with SC insulin (all p < 0.01). Patients preferring HIIP (80%) were significantly more confident about (p = 0.005) and comfortable with (p = 0.003) using the system than those preferring SC insulin. Results may not be generalizable to all patients with type 1 diabetes. CONCLUSIONS: Some patients desire alternatives to insulin injection. In this study 80% preferred HIIP to injected insulin. Other patients feel more comfortable with familiar insulin delivery. Healthcare providers should help patients find insulin delivery that corresponds to individual preferences.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.000 | 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".