Evidence map›Paper›PMID 28285448›Full record

ArticleDrugs in R&D2017

Canagliflozin as an Initial Therapy in Drug-Naïve Subjects with Type 2 Diabetes Mellitus: A Potential Involvement of Atherogenic Lipids in its Glycemic Efficacy.

Eiji Kutoh, Asuka Wada, Teruma Murayama, Yui Takizawa

Abstract read
In one paragraph

Article in Drugs in R&D, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Eiji KutohDivision of Clinical Research, Biomedical Center, 1-5-8-613 Komatsugawa, Edogawa-ku, Tokyo, 132-0034, Japan. ekuto@excite.com.
Asuka WadaDivision of Diabetes and Endocrinology, Department of Internal Medicine, Gyoda General Hospital, Saitama, Japan.
Teruma MurayamaDivision of Clinical Research, Biomedical Center, 1-5-8-613 Komatsugawa, Edogawa-ku, Tokyo, 132-0034, Japan.
Yui TakizawaDivision of Diabetes and Endocrinology, Department of Internal Medicine, Gyoda General Hospital, Saitama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe aim of this study is to investigate canagliflozin as an initial therapy in type 2 diabetes mellitus and to explore the effects on metabolic parameters in relation to effects on glycemic control. SUBJECTS AND

methodsTreatment-naïve subjects with type 2 diabetes mellitus received canagliflozin 50-100 mg/day monotherapy. At 3 months, levels of glycemic and non-glycemic parameters were compared with those at baseline (n = 39). As a comparator, our previous data of baseline glycosylated hemoglobin (HbA

resultsSignificant reductions in HbA

conclusionsThese results suggest that (1) canagliflozin appears to offer clinically beneficial outcomes as an initial therapy in subjects with type 2 diabetes mellitus, although with certain adverse events. (2) Atherogenic cholesterols including non-HDL-C and LDL-C could be involved in the glycemic efficacy of canagliflozin. This was not the case with ipragliflozin. (3) Unexpectedly, weight reductions with canagliflozin are not associated with its glycemic efficacy.

Indexed as

AtherosclerosisBlood GlucoseBody Mass IndexCanagliflozinCholesterol, LDLDiabetes Mellitus, Type 2FemaleGlucosidesGlycated HemoglobinHumansHypoglycemic AgentsLipidsMaleMiddle AgedThiophenesTriglyceridesBlood GlucoseCanagliflozinCholesterol, LDLGlucosidesGlycated HemoglobinHypoglycemic AgentsipragliflozinLipidsThiophenesTriglycerides

Identifiers

PMID28285448
PMCPMC5427050

What OpenQuestion holds

Texttitle and abstract
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.