Review: lifestyle education programmes lower glucose concentrations and reduce the incidence of type 2 diabetes
Bibliographic record
Abstract
Yamaoka K, Tango T. Efficacy of lifestyle education to prevent type 2 diabetes: a meta-analysis of randomized controlled trials. Diabetes Care 2005;28:2780–6.[OpenUrl][1][Abstract/FREE Full Text][2] Q Do lifestyle education programmes lower plasma glucose concentrations and reduce the incidence of type 2 diabetes in adults at high risk? ### ![Graphic][3]</img>Data sources: Medline and Educational Resources Information Centre (ERIC) (1966 to November 2004). ### ![Graphic][4]</img>Study selection and assessment: English language randomised controlled trials (RCTs) that compared a lifestyle education programme (diet with or without exercise interventions) with conventional education (usual exercise with or without general information about healthy food choices) in adults at high … [1]: {openurl}?query=rft.jtitle%253DDiabetes%2BCare%26rft.stitle%253DDiabetes%2BCare%26rft.aulast%253DYamaoka%26rft.auinit1%253DK.%26rft.volume%253D28%26rft.issue%253D11%26rft.spage%253D2780%26rft.epage%253D2786%26rft.atitle%253DEfficacy%2Bof%2BLifestyle%2BEducation%2Bto%2BPrevent%2BType%2B2%2BDiabetes%253A%2BA%2Bmeta-analysis%2Bof%2Brandomized%2Bcontrolled%2Btrials%26rft_id%253Dinfo%253Adoi%252F10.2337%252Fdiacare.28.11.2780%26rft_id%253Dinfo%253Apmid%252F16249558%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=28/11/2780&atom=%2Febnurs%2F9%2F3%2F75.atom [3]: /embed/inline-graphic-1.gif [4]: /embed/inline-graphic-2.gif
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".