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A review of the economic evidence for acarbose in the prevention of diabetes and cardiovascular events in individuals with impaired glucose tolerance

2006· review· en· W2138224856 on OpenAlexaffabout
Robert G. Josse, Alistair McGuire, G. B. Saal

Bibliographic record

VenueInternational Journal of Clinical Practice · 2006
Typereview
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsAcarboseMedicineImpaired glucose toleranceMetforminDiabetes mellitusPlaceboType 2 Diabetes MellitusInternal medicineDiseaseType 2 diabetesGerontologyEndocrinologyAlternative medicine

Abstract

fetched live from OpenAlex

The highly prevalent, prediabetic condition of impaired glucose tolerance (IGT) confers a high risk for type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD). There is an emerging body of cost-effectiveness literature in the management of IGT. For acarbose, an alpha-glucosidase inhibitor, economic analyses have been conducted for Spain, Germany, Sweden and Canada. In Spain, acarbose was more effective and less costly (dominant) compared with placebo. In Germany, the cost per patient free of diabetes was under Pounds 800; acarbose was dominant for those at high risk for T2DM, CVD or both, and a similar outcome in the Swedish study. In Canada, acarbose was dominant compared with no intervention and very cost-effective compared with metformin [C Dollars 1798/life years gained (LYG)]. The particularly cost-effective outcomes or cost savings delivered by acarbose for IGT subjects at high risk for T2DM and/or CVD render an IGT-intervention program prioritised to such high-risk individuals an economically attractive strategy.

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 imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.950
Threshold uncertainty score0.621

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.129
GPT teacher head0.476
Teacher spread0.347 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreReview

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".

Quick stats

Citations15
Published2006
Admission routes2
Has abstractyes

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