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Record W1874041614 · doi:10.1111/dom.12469

Efficacy and safety of empagliflozin twice daily versus once daily in patients with type 2 diabetes inadequately controlled on metformin: a 16‐week, randomized, placebo‐controlled trial

2015· article· en· W1874041614 on OpenAlexaff
S. Ross, Claus Thamer, Jessica Cescutti, Thomas Meinicke, H.J. Woerle, Uli C. Broedl

Bibliographic record

VenueDiabetes Obesity and Metabolism · 2015
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsLMC Diabetes & Endocrinology (Canada)
FundersJanssen BiotechNovo NordiskMerckEli Lilly and Company
KeywordsEmpagliflozinMedicineMetforminPlaceboRandomized controlled trialType 2 diabetesClinical endpointConfidence intervalInternal medicineDiabetes mellitusInsulinEndocrinology

Abstract

fetched live from OpenAlex

Patients with type 2 diabetes mellitus (T2DM) with a glycated haemoglobin (HbA1c) level ≥7 and ≤10% were randomized to receive empagliflozin 12.5 mg twice daily (n = 219), 25 mg once daily (n = 218), 5 mg twice daily (n = 219) or 10 mg once daily (n = 220), or placebo (n = 107) as add-on to stable-dose metformin immediate release (IR) twice daily for 16 weeks. The primary endpoint was change from baseline in HbA1c at week 16. At week 16, change from baseline in HbA1c with empagliflozin twice daily was non-inferior to empagliflozin once daily and vice versa. The adjusted mean (95% confidence interval) difference in change from baseline in HbA1c with empagliflozin 12.5 mg twice daily versus 25 mg once daily was -0.11% (-0.26, 0.03), and with empagliflozin 5 mg twice daily versus 10 mg once daily it was -0.02% (-0.16, 0.13). All empagliflozin regimens were well tolerated; thus, when used as add-on to metformin IR in patients with T2DM, the therapeutic effect of empagliflozin twice-daily and once-daily regimens can be considered equivalent.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.016
GPT teacher head0.240
Teacher spread0.224 · 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 designRandomized trial
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

Citations50
Published2015
Admission routes1
Has abstractyes

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