Evidence mapPaperPMID 30868413Full record

ArticleEndocrine2019

Prognostic impact of visit-to-visit glycemic variability on the risks of major adverse cardiovascular outcomes and hypoglycemia in patients with different glycemic control and type 2 diabetes.

Bao Sun, Fazhong He, Yongchao Gao, Jiecan Zhou, Lei Sun, Rong Liu, Heng Xu, Xiaoping Chen, Honghao Zhou, Zhaoqian Liu and 1 more

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In one paragraph

Article in Endocrine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

11 authors.

Bao SunDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, 410078, Changsha, People's Republic of China.
Fazhong HeDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, 410078, Changsha, People's Republic of China.
Yongchao GaoDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, 410078, Changsha, People's Republic of China.
Jiecan ZhouDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, 410078, Changsha, People's Republic of China.
Lei SunData Analysis Technology Lab, School of Mathematics and Statistics, Henan University, 475004, Kaifeng, People's Republic of China.
Rong LiuDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, 410078, Changsha, People's Republic of China.
Heng XuDepartment of Laboratory Medicine, National Key Laboratory of Biotherapy/Collaborative Innovation Center of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Xiaoping ChenDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, 410078, Changsha, People's Republic of China.
Honghao ZhouDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, 410078, Changsha, People's Republic of China.
Zhaoqian LiuDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, 410078, Changsha, People's Republic of China.
Wei ZhangDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, 410078, Changsha, People's Republic of China. yjsd2003@163.com.ORCID 0000-0001-8305-5872

Funding

Innovation Driven Project of Central South University 2016CX024National Key Research and Development Program 2016YFC0905000National Natural Science Foundation of China 81522048, 81573511, 81874329
6 · The paper itself

Abstract

purposeThe prognostic impact of visit-to-visit glycemic variability on clinical outcomes in patients with different glycemic control and type 2 diabetes remains obscure. We investigated glucose variability and clinical outcomes for patients in the groups of Good glycemic control (GC), Insufficient glycemic control (IC), and Poor glycemic control (PC) in a prospective cohort study.

methodsBy using data from Action in Diabetes and Vascular disease: preterAx and diamicroN-MR Controlled Evaluation (ADVANCE), 930 patients were enrolled from 61 centers in China and grouped into GC, IC, and PC according to their glycated hemoglobin A1

resultsAmong 930 patients in the intensive glucose control, 82, 538, and 310 patients were assigned to GC, IC, and PC, respectively. During the median of 4.8 years of follow-up, 322 patients were observed hypoglycemia and 244 patients experienced major adverse cardiovascular events (MACE). The CV of HbA1

conclusionsThis prospective cohort study showed that glycemic variability was significantly lower for GC than IC and PC. Furthermore, glycemic variability was associated with the risk of MACE and hypoglycemia in total patients and subgroups of different glycemic control.

Indexed as

Blood GlucoseAgedCardiovascular DiseasesDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansHypoglycemiaMaleMiddle AgedPrognosisProspective StudiesRisk FactorsBlood GlucoseGlycated HemoglobinDifferent glycemic controlHypoglycemiaMajor adverse cardiovascular eventsType 2 diabetesVisit-to-visit glycemic variability

Identifiers

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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 Socratic graph.