Continuous glucose monitoring in children and adults with well-controlled type 1 diabetes reduces hypoglycaemia
Bibliographic record
Abstract
Commentary on: Battelino T, Phillip M, Bratina N, et al. Effect of continuous glucose monitoring on hypoglycemia in type 1 diabetes. Diabetes Care 2011;34:795–800.[OpenUrl][1][Abstract/FREE Full Text][2] Hypoglycaemia is the primary limiting factor in the glycaemic management of diabetes.1 This is especially true of individuals with long-standing type 1 diabetes, who are at highest risk of severe hypoglycaemia due to the loss of counter-regulatory hormone responses and hypoglycaemic symptom awareness. Continuous glucose monitoring (CGM), using a subcutaneous sensor to frequently measure interstitial glucose, was developed as a tool for improving glycaemic control and reducing hypoglycaemia in diabetes. Recent studies have shown that real-time CGM can improve haemoglobin A1c (HbA1c)3 and reduce the duration of hyperglycaemia or hypoglycaemia over short periods in selected individuals.4 However, inherent problems have limited its effective use, … [1]: {openurl}?query=rft.jtitle%253DDiabetes%2BCare%26rft_id%253Dinfo%253Adoi%252F10.2337%252Fdc10-1989%26rft_id%253Dinfo%253Apmid%252F21335621%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/ijlink?linkType=ABST&journalCode=diacare&resid=34/4/795&atom=%2Febmed%2F17%2F1%2F18.atom
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".