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Record W2527237307 · doi:10.14740/jocmr2741w

Comparison of Combined Tofogliflozin and Glargine, Tofogliflozin Added to Insulin, and Insulin Dose-Increase Therapy in Uncontrolled Type 2 Diabetes

2016· article· en· W2527237307 on OpenAlexvenueno aff
Katsunori Suzuki, Yurie Mitsuma, Takaaki Sato, Takumi Anraku, Mariko Hatta

Bibliographic record

VenueJournal of Clinical Medicine Research · 2016
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGlycemicInsulinInternal medicineInsulin glargineDiabetes mellitusType 2 diabetesEndocrinologyAdverse effectBody mass indexGastroenterologyHypoglycemiaUrology

Abstract

fetched live from OpenAlex

Background: Some patients with type 2 diabetes mellitus (T2DM) on insulin have poor glycemic control and require add-on therapy to reach target glucose values. Increased insulin doses or the addition of an oral antidiabetic drug (OAD) may improve glycemic control, but many patients fail to achieve target values. The aim of this study was to compare the treatment efficacy and safety of three different therapies in such patients. Methods: T2DM outpatients with poor glycemic control (HbA1c >= 7.0%) despite insulin therapy (including patients on OADs other than a sodium-glucose cotransporter 2 (SGLT2) inhibitor) were included. The patients had a body mass index (BMI) of >= 22 kg/m 2 and an estimated glomerular filtration rate (eGFR) of >= 45 mL/min/1.73 m 2 , did not have depletion of endogenous insulin, and had stable glucose levels for 3 months before study entry on insulin therapy. Treatment was continued for 24 weeks with insulin dose-increase therapy, tofogliflozin add-on therapy, or a combination of insulin glargine + tofogliflozin. The primary endpoints were HbA1c, weight, and total insulin dose. Secondary endpoints included fasting plasma glucose (FPG), blood pressure, lipid profiles, and incidence of adverse events. Results: At baseline, the participants’ median age was 59.0 years, mean BMI was 28.7 kg/m 2 , mean eGFR was 89.2 mL/min/1.73 m 2 , mean HbA1c was 8.7%, and mean FPG was 174.1 mg/dL. The mean duration of insulin therapy was approximately 7 years. The mean daily insulin dose was approximately 40 U in the three groups. Overall, 85% received other background OADs in addition to insulin. Over the 24-week period, HbA1c in the insulin group decreased slightly initially and then plateaued; daily total insulin dose and weight increased, and blood pressure increased slightly. In the insulin + tofogliflozin group and the glargine + tofogliflozin group, HbA1c decreased greatly initially, and this continued over the 24-week period, with HbA1c decreases of -1.0% and -0.8%, respectively; total daily insulin dose (-2.6 and -12.7 U, respectively) and weight (-2.9 and -3.4 kg, respectively) decreased, and blood pressure decreased slightly. Tofogliflozin therapy was well tolerated. Conclusions: Tofogliflozin may offer a new option for patients whose T2DM remains inadequately controlled on insulin therapy with or without additional oral glucose-lowering agents. J Clin Med Res. 2016;8(11):805-814 doi: http://dx.doi.org/10.14740/jocmr2741w

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)0.003
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.144
GPT teacher head0.493
Teacher spread0.349 · 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

Citations15
Published2016
Admission routes1
Has abstractyes

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