Intensive Management of Poorly Controlled Type 2 Diabetes Using a Multidisciplinary Approach and Continuous Glucose Monitoring
Bibliographic record
Abstract
Background: The purpose of this study was to examine the effects of a weekly monitoring interaction using continuous glucose monitoring (CGM) in a population of poorly controlled type 2 diabetes patients. Methods: This study was conducted in the outpatient clinical setting and examined levels of hemoglobin A1c (HbA1c) and time in range (TIR) glucose levels for 16 patients with poorly controlled type 2 diabetes as indicated by an HbA1c level of greater than 10%. The intervention included use of a continuous glucose monitor and weekly interactions either virtually or by telephone by one of the team members. Results: After a 3-month period, HbA1c levels reduced from 11.79% to 7.88% (P < 0.01) with 100% of the subjects achieving HbA1c of less than 10%. There were no significant changes in the amount of additional diabetes medication or insulin dose. Conclusions: The combination of CGM and frequent interaction in a brief (3 months) time frame may be a significant tool to improve glucose control in this high-risk population. J Endocrinol Metab. 2023;13(2):70-74 doi: https://doi.org/10.14740/jem844
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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 | 0.001 | 0.002 |
| 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 | 0.001 |
| 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".