Evidence map›Paper›PMID 33947398›Full record

Observational studyCardiovascular diabetology2021

Associations of continuous glucose monitoring-assessed glucose variability with intima-media thickness and ultrasonic tissue characteristics of the carotid arteries: a cross-sectional analysis in patients with type 2 diabetes.

Naohiro Taya, Naoto Katakami, Tomoya Mita, Yosuke Okada, Satomi Wakasugi, Hidenori Yoshii, Toshihiko Shiraiwa, Akihito Otsuka, Yutaka Umayahara, Kayoko Ryomoto and 6 more

Abstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Cardiovascular diabetology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Observational
  16. Article
  17. Article
  18. Review
  19. 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

16 authors.

Naohiro TayaDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
Naoto Katakami *Department of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan. katakami@endmet.med.osaka-u.ac.jp.ORCID 0000-0001-9020-8320
Tomoya Mita *Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan. tom-m@juntendo.ac.jp.
Yosuke OkadaFirst Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, 1-1, Iseigaoka, Yahatanishi-ku, Kitakyushu, Fukuoka, Japan.
Satomi WakasugiDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Hidenori YoshiiDepartment of Medicine, Diabetology & Endocrinology, Juntendo Tokyo Koto Geriatric Medical Center, 3-3-20, Shinsuna, Koto-ku, Tokyo, Japan.
Toshihiko ShiraiwaShiraiwa Medical Clinic, 4-10-24, Houzenji, Kashiwara, Osaka, Japan.
Akihito OtsukaDepartment of Internal Medicine, Kawasaki Hospital, 3-3-1, Higashiyamacho, Hyogo-ku, Kobe, Hyogo, Japan.
Yutaka UmayaharaDepartment of Diabetes and Endocrinology, Osaka General Medical Center, 3-1-56, Bandaihigashi, Sumiyoshi-ku, Osaka-shi, Osaka, Japan.
Kayoko RyomotoCenter for Diabetes Mellitus, Osaka Rosai Hospital, 1179-3, Nagasonecho, Kita-ku, Sakai, Osaka, Japan.
Masahiro HatazakiDepartment of Internal Medicine, Japan Community Health Care Organization Osaka Hospital, 4-2-78, Fukushima, Fukushima-ku, Osaka-shi, Osaka, Japan.
Tetsuyuki YasudaDepartment of Diabetes and Endocrinology, Osaka Police Hospital, 10-31, Kitayamacho, Tennoji-ku, Osaka-shi, Osaka, Japan.
Tsunehiko YamamotoDiabetes and Endocrinology, Kansai Rosai Hospital, 3-1-69, Inabaso, Amagasaki, Hyogo, Japan.
Masahiko GoshoDepartment of Biostatistics, Faculty of Medicine, University of Tsukuba, 1-1-1, Tennodai, Tsukuba, Ibaraki, Japan.
Iichiro ShimomuraDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
Hirotaka WatadaDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between glucose variability and the progression of atherosclerosis is not completely understood. We aimed to evaluate the associations of glucose variability with the progression of atherosclerosis in the early stages.

methodsWe conducted a cross-sectional analysis to investigate the associations of glucose variability, assessed by continuous glucose monitoring, with intima-media thickness (IMT) and gray-scale median (GSM) of the carotid arteries, which are different indicators for the progression of atherosclerosis. We used baseline data from a hospital-based multicenter prospective observational cohort study among Japanese patients with type 2 diabetes without a history of cardiovascular diseases aged between 30 and 80 years. Continuous glucose monitoring was performed by Freestyle Libre Pro, and glucose levels obtained every 15 min for a maximum of eight days were used to calculate the metrics of glucose variability. IMT and GSM were evaluated by ultrasonography, and the former indicates thickening of intima-media complex in the carotid artery wall, while the latter indicates tissue characteristics.

resultsAmong 600 study participants (age: 64.9 ± 9.2 (mean ± SD) years; 63.2%: men; HbA1c: 7.0 ± 0.8%), participants with a larger intra- and inter-day glucose variability had a lower GSM and most of these associations were statistically significant. No trend based on glucose variability was shown regarding IMT. Standard deviation of glucose (regression coefficient, β = - 5.822; 95% CI - 8.875 to - 2.768, P < 0.001), glucose coefficient of variation (β = - 0.418; - 0.685 to - 0.151, P = 0.002), mean amplitude of glycemic excursion (β = - 1.689; - 2.567 to - 0.811, P < 0.001), mean of daily differences (β = - 6.500; - 9.758 to - 3.241, P < 0.001), and interquartile range (β = - 4.289; - 6.964 to - 1.614, P = 0.002) had a statistically significant association with mean-GSM after adjustment for conventional cardiovascular risk factors, including HbA1c. No metrics of glucose variability had a statistically significant association with IMT.

conclusionsContinuous glucose monitoring-assessed glucose variability was associated with the tissue characteristics of the carotid artery wall in type 2 diabetes patients without cardiovascular diseases.

Indexed as

Blood Glucose Self-MonitoringCarotid Intima-Media ThicknessAdultAgedAged, 80 and overBiomarkersBlood GlucoseCarotid Artery DiseasesCross-Sectional StudiesDiabetes Mellitus, Type 2Disease ProgressionFemaleHumansIncidenceJapanMaleBiomarkersBlood GlucoseContinuous glucose monitoringGlucose variabilityGray-scale medianIntima-media thicknessTissue characteristicsType 2 diabetes

Identifiers

PMID33947398
PMCPMC8097791

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.