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Record W2679991926 · doi:10.1080/03007995.2017.1345730

Network meta-analysis of liraglutide versus dipeptidyl peptidase-4 inhibitors for the treatment of type 2 diabetes in Japanese patients

2017· review· en· W2679991926 on OpenAlexaff
Dieter Ayers, Steve Kanters, Rachel Goldgrub, Monica Hughes, Ryo Kato, Nana Kragh

Bibliographic record

VenueCurrent Medical Research and Opinion · 2017
Typereview
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineLiraglutideDipeptidyl peptidase-4Type 2 diabetesDipeptidyl peptidase-4 inhibitorSaxagliptinSitagliptinInternal medicineDiabetes mellitusDipeptidyl peptidasePharmacologyGlucagon-like peptide-1Meta-analysisEndocrinologyEnzymeBiochemistry

Abstract

fetched live from OpenAlex

AIMS: To determine the comparative efficacy and safety of liraglutide and dipeptidyl peptidase-4 (DPP-4) inhibitors as antidiabetics for Japanese patients with uncontrolled type 2 diabetes (T2DM). METHODS AND MATERIALS: We searched for randomized controlled trials (RCTs) evaluating outcomes among Japanese adults with uncontrolled T2DM and including liraglutide or DPP-4 inhibitors up to August 2016. We extracted data on trial and patient characteristics, and the following outcomes: HbA1c, weight, patients meeting HbA1c <7%, patients experiencing hypoglycemic events, microalbuminuria, estimated glomerular filtration rate (eGFR) and creatinine. We synthesized data using network meta-analyses (NMA) using a Bayesian framework. Continuous outcomes were modeled using normal likelihoods and an identity link, while dichotomous outcomes were modeled using a binomial likelihood and a logit link. RESULTS: The systematic literature review yielded 39 publications pertaining to 38 trials. A total of 27 trials (5032 patients) reported change in HbA1c at 12 weeks and at 24 weeks 9 trials (2091 patients). All treatments showed statistically significant reductions in HbA1c relative to placebo at 12 and 24 weeks. Liraglutide 0.9 mg was statistically superior to all DPP-4 interventions (vildagliptin, sitagliptin, linagliptin, alogliptin, teneligliptin, trelagliptin and omarigliptin) at 12 weeks and 24 weeks among those reporting. Treatments were not statistically differentiable with respect to weight change and risk of hypoglycemia. Finally, no comparisons of eGFR and microalbuminuria were conducted, as this data was reported in too few trials to conduct analyses. LIMITATIONS: Some important outcomes were limited by poor reporting (eGFR and microalbuminuria) or low event rates (hypoglycemia). The follow-up time was relatively short. Clinically, the 24 week time point is more important as it demonstrates more sustained results. CONCLUSIONS: Our research suggests that liraglutide 0.9 mg offers a more efficacious treatment option for T2DM than the DPP-4 inhibitors among adult Japanese patients and that it is a viable option for this population.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.939
Threshold uncertainty score0.709

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
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 head0.470
GPT teacher head0.513
Teacher spread0.044 · 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 designOther design
Domainnot available
GenreReview

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

Citations9
Published2017
Admission routes1
Has abstractyes

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