Intensive glucose therapy and clinical implications of recent data: a consensus statement from the Global Task Force on Glycaemic Control
Bibliographic record
Abstract
BACKGROUND: There is compelling evidence showing that achieving good glycaemic control reduces the risk of microvascular complications in people with type 1 and type 2 diabetes. Likewise, there is clear evidence to show that achieving good glycaemic control reduces the risk of macrovascular complications in type 1 diabetes. The UKPDS 10-year follow up suggests that good glycaemic control also reduces the risk of macrovascular complications in type 2 diabetes. Despite this, recent results from ACCORD, ADVANCE and VADT present conflicting results and data from the ACCORD trial appear to suggest that very low HbA(1c) targets (<6.0%) may, in fact, be dangerous in certain patient populations. AIM: To review recent results from ACCORD, ADVANCE and VADT and provide clear guidance on the clinical significance of the new data and their implications for the practising physician treating patients with type 2 diabetes. METHODS: A Pubmed search was used to identify major randomised clinical trials examining the association between glycaemic control and diabetes-associated complications. The data was reviewed and discussed by the GTF through a consensus meeting. The recommendations for clinical practice in this statement are the conclusions of these analyses and discussions. RESULTS: Evidence from ACCORD, ADVANCE, VADT and UKPDS suggests that certain patient populations, such as those with moderate diabetes duration and/or no pre-existing CVD, may benefit from intensive blood glucose control. These trials highlight the benefit of a multifactorial treatment approach to diabetes. However, ACCORD results indicate that aggressive HbA(1c) targets (<6.0%) may not be beneficial in patients with existing CVD and a longer duration of diabetes. CONCLUSIONS: Glycaemic control remains a very important component of treatment for type 2 diabetes and contrasting results from the ACCORD, ADVANCE and VADT should not discourage physicians from controlling blood glucose levels.
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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 | 0.198 | 0.210 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.008 | 0.007 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.011 | 0.007 |
| Research integrity | 0.020 | 0.023 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".