MétaCan
Menu
Back to cohort
Record W1938171118 · doi:10.1002/0470862092.d0612

α‐Glucosidase Inhibitors

2004· other· en· W1938171118 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMedicine
TopicNatural Antidiabetic Agents Studies
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsAcarbosePostprandialMedicineType 2 diabetesInternal medicineGlycosylated haemoglobinInsulinEndocrinologyDiabetes mellitusPharmacology

Abstract

fetched live from OpenAlex

Abstract α‐Glucosidase inhibitors produce a significant reduction of postprandial hyperglycemia and postprandial insulin with a significant decrease of HbA 1c (∼0.7%), by delaying carbohydrate absorption. For diabetic patients, α‐glucosidase inhibitors are safe agents that can be used either as monotherapy or in combination with other oral hypoglycemic agents or insulin. The reduction of HbA 1c should substantially decrease microvascular complications and could diminish macrovascular events. α‐Glucosidase inhibitors should be considered as a treatment of choice for newly diagnosed diabetic patients. For those not well‐controlled with any other type of treatment, it can result in metabolic improvement without any additional risk. To minimize gastrointestinal side effects, treatment should be initiated at a low dose and titrated slowly. In patients with impaired glucose tolerance, acarbose has proven to be efficient in preventing or delaying the occurrence of type 2 diabetes as well as decreasing macrovascular events.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0110.002

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.

Opus teacher head0.009
GPT teacher head0.256
Teacher spread0.247 · 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

Quick stats

Citations59
Published2004
Admission routes1
Has abstractyes

Explore more

Same topicNatural Antidiabetic Agents StudiesFrench-language works237,207