Evidence map›Paper›PMID 37354249›Full record

ArticleJournal of endocrinological investigation2024

Factors associated with nocturnal and diurnal glycemic variability in patients with type 2 diabetes: a cross-sectional study.

J Jiang, Z Xia, D Zheng, Y Li, F Li, W Wang, S Ding, J Zhang, X Su, Q Zhai and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of endocrinological investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

15 authors.

J Jiang *Department of Endocrinology, Jining No. 1 People's Hospital, 6 Jiankang Road, Rencheng District, Jining, 272000, Shandong, China.
Z Xia *Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China.ORCID http://orcid.org/0000-0001-8833-773X
D ZhengDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China.
Y LiDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China.
F LiDepartment of Endocrinology, Jining No. 1 People's Hospital, 6 Jiankang Road, Rencheng District, Jining, 272000, Shandong, China.
W WangDepartment of Endocrinology, Jining No. 1 People's Hospital, 6 Jiankang Road, Rencheng District, Jining, 272000, Shandong, China.
S DingDepartment of Endocrinology, Jining No. 1 People's Hospital, 6 Jiankang Road, Rencheng District, Jining, 272000, Shandong, China.
J ZhangDepartment of Endocrinology, Jining No. 1 People's Hospital, 6 Jiankang Road, Rencheng District, Jining, 272000, Shandong, China.
X SuDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China.
Q ZhaiDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China.
Y ZuoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China.
Y ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China.
H Y GaisanoDepartments of Medicine and Physiology, University of Toronto, Toronto, ON, Canada.
Y He *Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China. yanhe1220@126.com.ORCID http://orcid.org/0000-0002-6496-8016
J Sun *Department of Endocrinology, Jining No. 1 People's Hospital, 6 Jiankang Road, Rencheng District, Jining, 272000, Shandong, China. 695151614@qq.com.

Funding

Doctoral Fund of Jining NO.1 People's Hospital 2021-BS-004National Natural Science Foundation of China 82073648Natural Science Foundation of Shandong Province ZR2021QH135Shandong Research Hospital Association 2022023
6 · The paper itself

Abstract

purposeThere is little information on factors that influence the glycemic variability (GV) during the nocturnal and diurnal periods. We aimed to examine the relationship between clinical factors and GV during these two periods.

methodsThis cross-sectional study included 134 patients with type 2 diabetes. 24-h changes in blood glucose were recorded by a continuous glucose monitoring system. Nocturnal and diurnal GV were assessed by standard deviation of blood glucose (SDBG), coefficient of variation (CV), and mean amplitude of glycemic excursions (MAGE), respectively. Robust regression analyses were performed to identify the factors associated with GV. Restricted cubic splines were used to determine dose-response relationship.

resultsDuring the nocturnal period, age and glycemic level at 12:00 A.M. were positively associated with GV, whereas alanine aminotransferase was negatively associated with GV. During the diurnal period, homeostatic model assessment 2-insulin sensitivity (HOMA2-S) was positively associated with GV, whereas insulin secretion-sensitivity index-2 (ISSI2) was negatively associated with GV. Additionally, we found a J-shape association between the glycemic level at 12:00 A.M. and MAGE, with 9.0 mmol/L blood glucose level as a cutoff point. Similar nonlinear associations were found between ISSI2 and SDBG, and between ISSI2 and MAGE, with ISSI2 value of 175 as a cutoff point.

conclusionFactors associated with GV were different between nocturnal and diurnal periods. The cutoff points we found in this study may provide the therapeutic targets for beta-cell function and pre-sleep glycemic level in clinical practice.

Indexed as

Diabetes Mellitus, Type 2Insulin ResistanceBlood GlucoseBlood Glucose Self-MonitoringCross-Sectional StudiesHumansBlood GlucoseDose–response relationshipGlycemic variabilityInfluence factorsType 2 diabetes mellitus

Identifiers

PMID37354249

What Socratic holds

Textmetadata
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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 Socratic graph.