Quality of Life After Islet Transplant: Impact of the Number of Islet Infusions and Metabolic Outcome
Bibliographic record
Abstract
The health-related quality of life (HRQL; Health Utilities Index Mark 2) and the fear of hypoglycemia (Hypoglycemia Fear Survey) were assessed after islet transplant; the impact of a single islet infusion and of the metabolic outcome were determined. A control group included 166 patients with type 1 diabetes. Islet transplant had no impact on overall HRQL. Prior to transplant, islet recipients had more fear of hypoglycemia than controls (P<0.000001), but this improved up to 36 months after transplant (P<0.00001, pretransplant vs. each time point). With a single islet infusion, this fear improved substantially (P<0.00001), but improved further with subsequent islet infusions (P</=0.01). Fear of hypoglycemia correlated with the occurrence of hypoglycemia (r=0.47, P=0.01), and even more so with blood glucose stability (r=0.56, P=0.0007) and insulin requirement (r=0.69, P=0.000002).
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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 | 0.000 | 0.000 |
| 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".