Evidence mapPaperPMID 38467807Full record

ReviewActa diabetologica2024

Research progress on the association between glycemic variability index derived from CGM and cardiovascular disease complications.

Lei Zhang, Xiao-Xuan Sun, Qing-Shan Tian

Abstract readReview
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In one paragraph

Review in Acta diabetologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Proposed Practical Guidelines to Improve Glycaemic Management by Reducing Glycaemic Variability in People with Type 1 Diabetes Mellitus.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Review
  6. 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

3 authors.

Lei ZhangThe 1st Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China.
Xiao-Xuan SunSchool of Nursing, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China. 810607953@qq.com.ORCID http://orcid.org/0000-0001-5954-3067
Qing-Shan TianCardiovascular Medicine Department, The 1st Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330000, China. tianqingshanloveu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, glycated hemoglobin A1c (HbA1c) has been widely used to assess the glycemic control of patients with diabetes. However, HbA1c has certain limitations in describing both short-term and long-term glycemic control. To more accurately evaluate the glycemic control of diabetes patients, the continuous glucose monitoring (CGM) technology has emerged. CGM technology can provide robust data on short-term glycemic control and introduce new monitoring parameters such as time in range, time above range, and time below range as indicators of glycemic fluctuation. These indicators are used to describe the changes in glycemic control after interventions in clinical research or treatment modifications in diabetes patient care. Recent studies both domestically and internationally have shown that these indicators are not only associated with microvascular complications of diabetes mellitus but also closely related to cardiovascular disease complications and prognosis. Therefore, this article aims to comprehensively review the association between CGM-based glycemic parameters and cardiovascular disease complications by analyzing a large number of domestic and international literature. The purpose is to provide scientific evidence and guidance for the standardized application of these indicators in clinical practice, in order to better evaluate the glycemic control of diabetes patients and prevent the occurrence of cardiovascular disease complications. This research will contribute to improving the quality of life for diabetes patients and provide important references for clinical decision-making.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringCardiovascular DiseasesGlycated HemoglobinDiabetes Mellitus, Type 2Glycemic ControlGlycemic IndexHumansBlood GlucoseGlycated HemoglobinCardiovascular diseaseCGMDiabetesGlycemic variability parametersTime in range (TIR)

Identifiers

PMID38467807

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.