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Record W2951959817 · doi:10.14740/jem.v9i3.570

Efficacy and Safety of Ipragliflozin in Patients With Type 2 Diabetes: ASSIGN-K Study

2019· article· en· W2951959817 on OpenAlexvenueno aff
Kotaro Iemitsu, Takehiro Kawata, Takashi Iizuka, Masahiro Takihata, Masahiko Takai, Shigeru Nakajima, Nobuaki Minami, Shinichi Umezawa, Akira Kanamori, Hiroshi Takeda, Shogo Ito, Taisuke Kikuchi, Hikaru Amemiya, Mizuki Kaneshiro, Atsuko Mokubo, Tetsuo Takuma, Hideo Machimura, Keiji Tanaka, Taro Asakura, Akira Kubota, Sachio Aoyagi, Kazuhiko Hoshino, Masashi Ishikawa, Yoko Matsuzawa, Mitsuo Obana, Nobuo Sasai, Hideaki Kaneshige, Fuyuki Minagawa, Tatsuya Saito, Kazuaki Shinoda, Masaaki Miyakawa, Yasushi Tanaka, Yasuo Terauchi, Ikuro Matsuba

Bibliographic record

VenueJournal of Endocrinology and Metabolism · 2019
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGlycemicPostprandialType 2 diabetesInternal medicineBody mass indexDiabetes mellitusBlood pressureGastroenterologyHemoglobinInsulinUrologyEndocrinology

Abstract

fetched live from OpenAlex

Background: Sodium glucose cotransporter 2 (SGLT2) inhibitors achieve good glycemic control in patients with type 2 diabetes, as well as reducing body weight and blood pressure. However, no large-scale clinical studies of SGLT2 inhibitors have been performed in Japan. The ASSIGN-K study investigated the efficacy and safety of ipragliflozin, a selective SGLT2 inhibitor, in routine clinical practice. Methods: ASSIGN-K was an investigator-initiated, multicenter, prospective observational study of ipragliflozin that enrolled Japanese patients with type 2 diabetes who showed inadequate glycemic control despite diet and exercise with/without medication. Patients received ipragliflozin (50 mg/day) as monotherapy or combined with other antidiabetic agents for up to 104 weeks. Results: In 301 patients who completed104 weeks of ipragliflozin treatment, hemoglobin A1c was significantly reduced from 8.07% at baseline to 7.24% (P < 0.001), while fasting blood glucose (n = 86) and postprandial blood glucose (n = 75) were decreased significantly by 19.8 mg/dL (P < 0.001) and 29.6 mg/dL (P < 0.05), respectively. Body weight (n = 217) also showed a significant decrease from 79.1 kg to 76.2 kg (P < 0.001). In addition, body fat (n = 217) and fat-free mass (n = 217) were significantly reduced by 1.87 kg and 1.02 kg, respectively (both P < 0.001), while total body water displayed a significant decrease of 0.74 kg (P < 0.001). Similar results were obtained when 30 patients aged ? 65 years were compared with 187 patients aged < 65 years. Multiple regression analysis revealed greater improvement of hemoglobin A1c when the baseline value was higher, while improvement became less marked as the duration of diabetes became longer and as the baseline body mass index increased. In patients achieving hemoglobin A1c < 7.0%, baseline hemoglobin A1c was significantly lower than in patients not achieving hemoglobin A1c < 7.0%, (7.45% vs. 8.54%, P < 0.001) and the duration of diabetes was significantly shorter (8.66 vs. 10.69 years, P = 0.002). Ketoacidosis was only reported in patients who continued ipragliflozin treatment during intercurrent illness. Conclusions: In patients with type 2 diabetes and inadequate glycemic control, ipragliflozin significantly improved hemoglobin A1c regardless of baseline characteristics, including age, sex, hemoglobin A1c, and body mass index. However, it is important to suspend treatment with ipragliflozin during intercurrent illness. J Endocrinol Metab. 2019;9(3):51-62 doi: https://doi.org/10.14740/jem570

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)0.003
metaresearch head score (Gemma)0.004
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 score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.008
GPT teacher head0.245
Teacher spread0.236 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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