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Record W2799590338 · doi:10.1186/s13098-018-0331-8

Effectiveness of gliclazide MR 60 mg in the management of type 2 diabetes: analyses from the EASYDia trial

2018· article· en· W2799590338 on OpenAlexaff
Lawrence A. Leiter, М. В. Шестакова, İlhan Satman

Bibliographic record

VenueDiabetology & Metabolic Syndrome · 2018
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersInstitut de Recherches ServierServier
KeywordsMedicineGliclazideDiabetes mellitusHypoglycemiaBody mass indexType 2 diabetesInternal medicineObservational studyRegimenPost-hoc analysisDosingEndocrinology

Abstract

fetched live from OpenAlex

Abstract Background Although the number of antihyperglycemic agents has expanded significantly, sulfonylureas (in particular gliclazide) remain an important option because of a variety of patient and health system factors. The large, real world, observational, and international EASYDia trial evaluated the effectiveness of gliclazide modified release (MR) 60 mg in individuals with type 2 diabetes with a broad range of diabetes history, body mass index (BMI) and background antihyperglycemic treatment. Methods A total of 7170 participants from eight countries, age ≥ 35 years with HbA1c ≥ 7.5% and not treated with insulin, were prescribed 30–120 mg of gliclazide MR 60 mg once daily. HbA1c goals were individualized and dosing uptitrated, as required, over the 6-month long study. In this post hoc subanalysis, efficacy endpoints were analyzed according to stratified baseline HbA1c levels, weight and glucose-lowering regimens. Episodes of hypoglycemia requiring assistance were documented. Results At baseline, mean age was 58.9 years, HbA1c 8.8%, BMI 30.1 kg/m2, and diabetes duration 5.1 years. At study end, clinically significant HbA1c improvements (mean change − 1.78%) were noted across all baseline HbA1c strata (> 7.0 to ≤ 8.0%, > 8.0 to ≤ 9.0%, > 9.0 to ≤ 10.0%, and > 10.0%), BMI classifications (18.5 to < 25.0, 25.0 to < 30.0, and ≥ 30.0 kg/m2), and regardless of the original diabetes treatment regimen (P < 0.001 in all cases). In contrast to the subgroups with BMI 25.0–30.0 and ≥ 30.0 kg/m2 that registered weight losses of 0.9 and 2.2 kg, respectively (P < 0.001 vs. baseline weight); the BMI 18.5–24.9 kg/m2 subgroup gained a mean 0.5 kg (P < 0.02 vs. baseline weight). Severe hypoglycemic events were rare (0.06%). Conclusions Progressive gliclazide MR 60 mg uptitration was well tolerated and lowered HbA1c across a broad range of HbA1c, BMI and background glucose-lowering therapy. Weight loss was noted when BMI was ≥ 25.0 kg/m2. Individuals with the highest baseline HbA1c and BMI experienced the greatest HbA1c and weight improvements. Trial registration ISRCTN Registry ISRCTN00943368 on 1st July 2011

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.031
GPT teacher head0.323
Teacher spread0.292 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations38
Published2018
Admission routes1
Has abstractyes

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