PMID- 35022087
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220119
IS  - 1758-5996 (Print)
IS  - 1758-5996 (Electronic)
IS  - 1758-5996 (Linking)
VI  - 14
IP  - 1
DP  - 2022 Jan 12
TI  - Long-term glycemic variability and risk of stroke in patients with diabetes: a 
      meta-analysis.
PG  - 6
LID - 10.1186/s13098-021-00770-0 [doi]
LID - 6
AB  - OBJECTIVES: Long-term glycemic variability has been related to increased risk of 
      vascular complication in patients with diabetes. However, the association between 
      parameters of long-term glycemic variability and risk of stroke remains not fully 
      determined. We performed a meta-analysis to systematically evaluate the above 
      association. METHODS: Medline, Embase, and Web of Science databases were searched 
      for longitudinal follow-up studies comparing the incidence of stroke in diabetic 
      patients with higher or lower long-term glycemic variability. A random-effect 
      model incorporating the potential heterogeneity among the included studies were 
      used to pool the results. RESULTS: Seven follow-up studies with 725,784 diabetic 
      patients were included, and 98% of them were with type 2 diabetes mellitus 
      (T2DM). The mean follow-up duration was 7.7 years. Pooled results showed that 
      compared to those with lowest category of glycemic variability, diabetic patients 
      with the highest patients had significantly increased risk of stroke, as 
      evidenced by glycemic variability analyzed by fasting plasma glucose coefficient 
      of variation (FPG-CV: risk ratio [RR] = 1.24, 95% confidence interval [CI] 1.11 
      to 1.39, P < 0.001; I(2) = 53%), standard deviation of FPG (FPG-SD: RR = 1.16, 
      95% CI 1.02 to 1.31, P = 0.02; I(2) = 74%), HbA1c coefficient of variation 
      (HbA1c-CV: RR = 1.88, 95% CI 1.61 to 2.19 P < 0.001; I(2) = 0%), and standard 
      deviation of HbA1c (HbA1c-SD: RR = 1.73, 95% CI 1.49 to 2.00, P < 0.001; 
      I(2) = 0%). CONCLUSIONS: Long-term glycemic variability is associated with higher 
      risk of stroke in T2DM patients.
CI  - (c) 2022. The Author(s).
FAU - Ren, Xiaoli
AU  - Ren X
AD  - Neurology Department, Tianjin First Central Hospital, 24 Fukang Road, Nankai 
      District, Tianjin, 300192, China.
FAU - Wang, Zhiyun
AU  - Wang Z
AD  - Neurology Department, Tianjin First Central Hospital, 24 Fukang Road, Nankai 
      District, Tianjin, 300192, China. zhiyun_wang856@21cn.com.
FAU - Guo, Congfang
AU  - Guo C
AD  - Health Management Center, Tianjin First Central Hospital, Tianjin, China.
LA  - eng
PT  - Journal Article
DEP - 20220112
PL  - England
TA  - Diabetol Metab Syndr
JT  - Diabetology & metabolic syndrome
JID - 101488958
PMC - PMC8756678
OTO - NOTNLM
OT  - Glucose coefficient of variation
OT  - Glycemic variability
OT  - HbA1c coefficient of variation
OT  - Meta-analysis
OT  - Stroke
COIS- The authors declare that they have no competing interests.
EDAT- 2022/01/14 06:00
MHDA- 2022/01/14 06:01
PMCR- 2022/01/12
CRDT- 2022/01/13 05:42
PHST- 2021/08/22 00:00 [received]
PHST- 2021/12/15 00:00 [accepted]
PHST- 2022/01/13 05:42 [entrez]
PHST- 2022/01/14 06:00 [pubmed]
PHST- 2022/01/14 06:01 [medline]
PHST- 2022/01/12 00:00 [pmc-release]
AID - 10.1186/s13098-021-00770-0 [pii]
AID - 770 [pii]
AID - 10.1186/s13098-021-00770-0 [doi]
PST - epublish
SO  - Diabetol Metab Syndr. 2022 Jan 12;14(1):6. doi: 10.1186/s13098-021-00770-0.