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Record W2894624538 · doi:10.2337/dc18-1749

Empagliflozin as Adjunctive to Insulin Therapy in Type 1 Diabetes: The EASE Trials

2018· article· en· W2894624538 on OpenAlexaff
Julio Rosenstock, Jan Marquard, Lori M. Laffel, Dietmar Neubacher, Stefan Kaspers, David Z.I. Cherney, Bernard Zinman, Jay S. Skyler, Jyothis T. George, Nima Soleymanlou, Bruce A. Perkins

Bibliographic record

VenueDiabetes Care · 2018
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsBoehringer Ingelheim (Canada)Mount Sinai HospitalLunenfeld-Tanenbaum Research InstituteToronto General HospitalUniversity of Toronto
FundersEli Lilly and CompanyBoehringer Ingelheim
KeywordsEmpagliflozinMedicineType 2 diabetesDiabetes mellitusBenzhydryl compoundsInternal medicineInsulinClinical trialEndocrinology

Abstract

fetched live from OpenAlex

OBJECTIVE To evaluate the safety and efficacy of empagliflozin 10- and 25-mg doses plus a unique lower dose (2.5 mg) as adjunct to intensified insulin in patients with type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS The EASE (Empagliflozin as Adjunctive to inSulin thErapy) program (N = 1,707) included two double-blind, placebo-controlled phase 3 trials: EASE-2 with empagliflozin 10 mg (n = 243), 25 mg (n = 244), and placebo (n = 243), 52-week treatment; and EASE-3 with empagliflozin 2.5 mg (n = 241), 10 mg (n = 248), 25 mg (n = 245), and placebo (n = 241), 26-week treatment. Together they evaluated empagliflozin 10 mg and 25 mg, doses currently approved in treatment of type 2 diabetes, and additionally 2.5 mg on 26-week change in glycated hemoglobin (primary end point) and weight, glucose time-in-range (>70 to ≤180 mg/dL), insulin dose, blood pressure, and hypoglycemia. RESULTS The observed largest mean placebo-subtracted glycated hemoglobin reductions were −0.28% (95% CI −0.42, −0.15) for 2.5 mg, −0.54% (−0.65, −0.42) for 10 mg, and −0.53% (−0.65, −0.42) for 25 mg (all P < 0.0001). Empagliflozin 2.5/10/25 mg doses, respectively, reduced mean weight by −1.8/−3.0/−3.4 kg (all P < 0.0001); increased glucose time-in-range by +1.0/+2.9/+3.1 h/day (P < 0.0001 for 10 and 25 mg); lowered total daily insulin dose by −6.4/−13.3/−12.7% (all P < 0.0001); and decreased systolic blood pressure by −2.1/−3.9/−3.7 mmHg (all P < 0.05). Genital infections occurred more frequently on empagliflozin. Adjudicated diabetic ketoacidosis occurred more with empagliflozin 10 mg (4.3%) and 25 mg (3.3%) but was comparable between empagliflozin 2.5 mg (0.8%) and placebo (1.2%). Severe hypoglycemia was rare and frequency was similar between empagliflozin and placebo. CONCLUSIONS Empagliflozin improved glycemic control and weight in T1D without increasing hypoglycemia. Ketoacidosis rate was comparable between empagliflozin 2.5 mg and placebo but increased with 10 mg and 25 mg. Ketone monitoring for early ketoacidosis detection and intervention and lower empagliflozin doses may help to reduce this risk.

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)0.005
metaresearch head score (Gemma)0.005
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 score0.005
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
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 head0.051
GPT teacher head0.354
Teacher spread0.303 · 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".

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Citations357
Published2018
Admission routes1
Has abstractyes

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