Evidence map›Paper›PMID 32020726›Full record

ArticleJournal of diabetes investigation2020

Shape of the glucose response curve during an oral glucose tolerance test is associated with insulin clearance and muscle insulin sensitivity in healthy non-obese men.

Hideyoshi Kaga, Yoshifumi Tamura, Kageumi Takeno, Saori Kakehi, Yuki Someya, Takashi Funayama, Yasuhiko Furukawa, Ruriko Suzuki, Daisuke Sugimoto, Satoshi Kadowaki and 8 more

Erratum issuedAbstract read
In one paragraph

Article in Journal of diabetes investigation, 2020. 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Silymarin Reduced Insulin Resistance in Non-Diabetic Women with Obesity.International journal of molecular sciences · 2024
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. The Oral Glucose Tolerance Test: 100 Years Later.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Hideyoshi KagaDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Yoshifumi TamuraDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-1685-7821
Kageumi TakenoDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Saori KakehiDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Yuki SomeyaSportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Takashi FunayamaDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Yasuhiko FurukawaDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Ruriko SuzukiDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Daisuke SugimotoDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Satoshi KadowakiDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Miho Nishitani-YokoyamaDepartment of Cardiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Kazunori ShimadaSportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Hiroyuki DaidaSportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Shigeki AokiSportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Adria GiaccaDepartments of Physiology and Medicine, Institute of Medical Science and Banting and Best Diabetes Centre, University of Toronto, Toronto, Ontario, Canada.
Hiroaki SatoDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Ryuzo KawamoriDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Hirotaka WatadaDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0001-5961-1816

Funding

Diabetes Masters ConferenceJapan Diabetes FoundationMinistry of Education, Culture, Sports, Science and Technology KAKENHI 23680069, 26282197, 17K19929Mitsukoshi Welfare FoundationSuzuken Memorial Foundation
6 · The paper itself

Abstract

Individuals with a monophasic glucose response curve (GRC) during a 75-g oral glucose tolerance test have a higher risk for type 2 diabetes than those with a biphasic GRC. However, no studies have addressed the association between GRC type and insulin clearance. Thus, we studied 49 healthy non-obese Japanese men. We divided study participants into the monophasic or biphasic group based on the shape of their GRC. We evaluated tissue-specific insulin sensitivity and insulin clearance using a two-step hyperinsulinemic-euglycemic clamp. The monophasic group had more visceral fat, lower insulin clearance and lower muscle insulin sensitivity than the biphasic group, whereas liver and adipose tissue insulin sensitivity, and insulin secretion were comparable. In conclusion, healthy non-obese men with a monophasic GRC have lower insulin clearance and muscle insulin sensitivity.

Indexed as

Adipose TissueAdultGlucoseGlucose Clamp TechniqueGlucose Tolerance TestHealthy VolunteersHumansInsulinInsulin ResistanceInsulin SecretionJapanLiverMaleMuscle, SkeletalGlucoseInsulinInsulin clearanceInsulin resistanceShape of glucose response curve

Identifiers

PMID32020726
PMCPMC7378447

What OpenQuestion holds

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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.