Evidence mapPaperPMID 28646412Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2017

Efficacy of Additional Canagliflozin Administration to Type 2 Diabetes Patients Receiving Insulin Therapy: Examination of Diurnal Glycemic Patterns Using Continuous Glucose Monitoring (CGM).

Mihoko Matsumura, Yuki Nakatani, Seiichi Tanka, Chie Aoki, Masaaki Sagara, Kazunori Yanagi, Kunihiro Suzuki, Yoshimasa Aso

Erratum issuedAbstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Metaflammation in obesity and its therapeutic targeting.Science translational medicine · 2023
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Inflammatory Targets in Diabetic Nephropathy.Journal of clinical medicine · 2020
    Review
  17. Review
  18. Article
  19. Evidence-Based Consensus on Positioning of SGLT2i in Type 2 Diabetes Mellitus in Indians.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2019
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Mihoko MatsumuraDepartment of Endocrinology and Metabolism, Dokkyo Medical University, Tochigi, Japan. m-mihoko@dokkyomed.ac.jp.
Yuki NakataniDepartment of Endocrinology and Metabolism, Dokkyo Medical University, Tochigi, Japan.
Seiichi TankaDepartment of Endocrinology and Metabolism, Dokkyo Medical University, Tochigi, Japan.
Chie AokiDepartment of Endocrinology and Metabolism, Dokkyo Medical University, Tochigi, Japan.
Masaaki SagaraDepartment of Endocrinology and Metabolism, Dokkyo Medical University, Tochigi, Japan.
Kazunori YanagiDepartment of Endocrinology and Metabolism, Dokkyo Medical University, Tochigi, Japan.
Kunihiro SuzukiDepartment of Endocrinology and Metabolism, Dokkyo Medical University, Tochigi, Japan.
Yoshimasa AsoDepartment of Endocrinology and Metabolism, Dokkyo Medical University, Tochigi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe efficacy of administering a sodium-glucose cotransporter 2 inhibitor during insulin therapy has not been established. In this study, we examined its effects based on diurnal glycemic patterns using continuous glucose monitoring (CGM).

methodsThe subjects were 15 patients who had received insulin therapy for 1 year or more. A CGM device was attached to all subjects for 1 week. The administration of canagliflozin at 100 mg was started 4 days after attachment. The mean glucose concentrations, standard deviation (SD), mean amplitude of glycemic excursions (MAGE), mean of daily difference of blood glucose (MODD), and area under the curve (AUC) (≥180, <70 mg h/dL) after the start of administration were compared with the pretreatment values. In addition, we compared changes in the number of insulin units between basal and bolus insulin. Furthermore, we investigated the influence of canagliflozin on oxidative stress markers and cytokines using 8-hydroxy-2'-deoxyguanosine (8-OHdG), tumor necrosis factor-α (TNF-α), and adiponectin as parameters.

resultsThe mean glucose concentrations decreased from 161.1 to 139.1 mg/dL (P < 0.01). The SD decreased from 36.5 to 29.6 mg/dL (P = 0.05). The MAGE decreased from 89.2 to 77.4 mg/dL (P < 0.01), and the MODD decreased from 34.3 to 25.5 mg/dL (P < 0.05). All parameters showed significant improvements in diurnal changes. AUC of ≥180, i.e., the total area of blood glucose levels at or above 180 on the blood glucose curve of CGM, decreased from 339.1 to 113.6 mg/dL (P < 0.05). AUC of <70, i.e., the total area of blood glucose levels below 70 on the blood glucose curve of CGM, slightly decreased from 1.6 to 0.3 mg/dL (P = 0.08). The total number of basal insulin units decreased from 128 to 76, and that of bolus insulin decreased from 266 to 154; the dose of insulin could be markedly decreased. In addition, the mean 8-OHdG level decreased from 11.4 to 10.8 ng/mg Cre (P < 0.05), and the mean TNF-α level decreased from 2.31 to 1.79 pg/mL (P = 0.10). The mean adiponectin level increased from 5.01 to 5.53 μg/mL (P < 0.05).

conclusionCanagliflozin improved blood glucose changes in type 2 diabetes using insulin. In addition, the results suggest its antioxidant actions.

trial registrationUniversity Hospital Medical Information Network (UMIN no. 000019429).

Indexed as

CanagliflozinCGM (continuous glucose monitoring)Diurnal glycemic patternSGLT2 inhibitorType 2 diabetes

Identifiers

PMID28646412
PMCPMC5544611

What Socratic holds

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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 Socratic graph.