23 Evaluating the efficacy of low-carbohydrate dietary interventions in type 2 diabetes management: results from the modality airedale, wharfedale and craven (AWC) and modality wokingham diabetes reversal programmes
Bibliographic record
Abstract
Background Type 2 Diabetes Mellitus (T2DM) is a global health concern, leading to serious complications and increased morbidity and mortality. This study explores the outcomes of two Modality Partnership diabetes management programmes: Modality AWC and Modality Wokingham Diabetes Reversal Programme (DRP).Methods The Modality Airedale, Wharfedale and Craven (AWC) Programme is a 3-month initiative for patients with T2DM, led by a general practitioner (GP) and a Low-Carb Health Coach Champion. The Modality Wokingham DRP is a 12-month, repeatable, virtual coach-led programme delivered via a smartphone app. It includes weekly coaching and three GP-led group education sessions. Both programmes monitor participants’ blood pressure, weight, HbA1c, and lipid levels, with additional liver and renal function tests as needed. The Modality Wokingham programme also gathered data from the NHS’s Buckinghamshire, Oxfordshire, and Berkshire West Integrated Care System (BOBICS) to evaluate A&E attendance.Results In the Modality AWC programme, 40 patients achieved an average HbA1c reduction of 9.9mmol/L, weight loss of 6.2kg, a decrease in alanine aminotransferase (ALT) of 10.3U/L, and a total cholesterol reduction of 0.15mg/dL. Notably, 50% of patients with slightly increased cholesterol experienced reduced triglycerides, indicating improved metabolic health. Additionally, five patients discontinued diabetes medication during the programme. In the Modality Wokingham DRP, 179 patients achieved an average HbA1c decrease of 5.5mmol/mol over 12 months, along with improvements in weight and lipid profiles, and 90% of hypoglycaemic medications were discontinued. Moreover, DRP participants had a 37.7% lower A&E attendance rate than the broader Berkshire West area, equating to 127 fewer visits per 1,000 patients.Conclusions Both DRP programmes show significant potential for improving T2DM management, supporting weight loss, reducing medication dependence and reducing A&E attendance. These interventions offer a promising approach to sustainable diabetes care. Further research is needed to explore long-term outcomes, adherence, and scalability of these programmes across different populations.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".