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Record W2523321497 · doi:10.1080/00325481.2016.1238280

Linagliptin plus metformin in patients with newly diagnosed type 2 diabetes and marked hyperglycemia

2016· article· en· W2523321497 on OpenAlexaff
Stuart A. Ross, A. Enrique Caballero, Stefano Del Prato, Baptist Gallwitz, Diane J. Lewis-D’Agostino, Zelie Bailes, Sandra Thiemann, Sanjay Patel, Hans‐Juergen Woerle, Maximilian von Eynatten

Bibliographic record

VenuePostgraduate Medicine · 2016
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsLinagliptinMetforminMedicineType 2 diabetesInternal medicineDiabetes mellitusPopulationDipeptidyl peptidase-4 inhibitorBody mass indexGastroenterologyEndocrinologyInsulin

Abstract

fetched live from OpenAlex

OBJECTIVES: Few studies of oral glucose-lowering drugs exist in newly diagnosed type 2 diabetes (T2D) patients with marked hyperglycemia, and insulin is often proposed as initial treatment. We evaluated the oral initial combination of metformin and linagliptin, a dipeptidyl peptidase-4 inhibitor, in this population. METHODS: We performed a pre-specified subgroup analysis of a randomized study in which newly diagnosed T2D patients with glycated hemoglobin A1c (HbA1c) 8.5%-12.0% received linagliptin/metformin or linagliptin monotherapy. Subgroups of baseline HbA1c, age, body-mass index (BMI), renal function, race, and ethnicity were evaluated, with efficacy measured by HbA1c change from baseline after 24 weeks. RESULTS: HbA1c reductions from baseline (mean 9.7%) at week 24 in the overall population were an adjusted mean -2.81% ± 0.12% with linagliptin/metformin (n = 132) and -2.02% ± 0.13% with linagliptin (n = 113); treatment difference -0.79% (95% CI -1.13 to -0.46, P < 0.0001). In patients with baseline HbA1c ≥9.5%, HbA1c reduction was -3.37% with linagliptin/metformin (n = 76) and -2.53% with linagliptin (n = 61); difference -0.84% (95% CI -1.32 to -0.35). In those with baseline HbA1c <9.5%, HbA1c reduction was -2.08% with linagliptin/metformin (n = 56) and -1.39% with linagliptin (n = 52); difference -0.69% (95% CI -1.23 to -0.15). Changes in HbA1c and treatment differences between the linagliptin/metformin and linagliptin groups were of similar magnitudes to the overall population across patient subgroups based on age, BMI, renal function, and race. Drug-related adverse events occurred in 8.8% and 5.7% of linagliptin/metformin and linagliptin patients, respectively; no severe hypoglycemia occurred. CONCLUSION: Linagliptin/metformin combination in newly diagnosed T2D patients with marked hyperglycemia was well tolerated and elicited substantial improvements in glycemic control regardless of baseline HbA1c, age, BMI, renal function, or race. Thus, newly diagnosed, markedly hyperglycemic patients may be effectively treated by combinations of oral agents. CLINICAL TRIAL REGISTRATION: www.clinicaltrials.gov identifier is NCT01512979.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score0.564

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.010
GPT teacher head0.224
Teacher spread0.213 · 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 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

Citations8
Published2016
Admission routes1
Has abstractyes

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