Evidence mapPaperPMID 31037553Full record

ReviewDiabetes therapy : research, treatment and education of diabetes and related disorders2019

A View Beyond HbA1c: Role of Continuous Glucose Monitoring.

Haleh Chehregosha, Mohammad E Khamseh, Mojtaba Malek, Farhad Hosseinpanah, Faramarz Ismail-Beigi

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06348238 (Strategies to Improve Well-Being and Diabetes Management), which is not on this map. Cited by 113 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 6 pooled it
16.3field-weighted citation impact, top 1% of its field
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.

NCT06348238 naactive not recruitingnot on this mapstarted 2024, after this paper: background citation

Strategies to Improve Well-Being and Diabetes Management

TypeinterventionalSponsorElizabeth ScharnetzkiRan2024 to 2027Enrolled150ConditionsDiabetes Mellitus, Type 2ArmsSelf-Affirmation
3 · Its place in the literature

Who cites it

113 citing papers in PubMed, 6 syntheses or guidelines pooled it, 235 citations in OpenAlex.

  1. Pooled it
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53 more citing papers are in PubMed but not listed here.

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

5 authors at 3 institutions in 2 countries.

Haleh ChehregoshaEndocrine Research Center (Firouzgar), Institute of Endocrinology and Metabolism, Iran University of Medical Sciences (IUMS), Tehran, Iran.
Mohammad E KhamsehEndocrine Research Center (Firouzgar), Institute of Endocrinology and Metabolism, Iran University of Medical Sciences (IUMS), Tehran, Iran. mekhamseh@gmail.com.
Mojtaba MalekResearch Center for Prevention of Cardiovascular Disease, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences (IUMS), Tehran, Iran.
Farhad HosseinpanahObesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Faramarz Ismail-BeigiSchool of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Iran University of Medical Sciences · IRCase Western Reserve University · USResearch Institute for Endocrine Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hemoglobin A1C (HbA1c) is used as an index of average blood glucose measurement over a period of months and is a mainstay of blood glucose monitoring. This metric is easy to measure and relatively inexpensive to obtain, and it predicts diabetes-related microvascular complications. However, HbA1c provides only an approximate measure of glucose control; it does not address short-term glycemic variability (GV) or hypoglycemic events. Continuous glucose monitoring (CGM) is a tool which helps clinicians and people with diabetes to overcome the limitations of HbA1c in diabetes management. Time spent in the glycemic target range and time spent in hypoglycemia are the main CGM metrics that provide a more personalized approach to diabetes management. Moreover, the glucose management indicator (GMI), which calculates an approximate HbA1c level based on the average CGM-driven glucose level, facilitates individual decision-making when the laboratory-measured HbA1c and estimated HbA1c are discordant. GV, on the other hand, is a measure of swings in blood glucose levels over hours or days and may contribute to diabetes-related complications. In addition, addressing GV is a major challenge during the optimization of glycemia. The degree of GV is associated with the frequency, duration, and severity of the hypoglycemic events. Many factors affect GV in a patient, including lifestyle, diet, the presence of comorbidities, and diabetes therapy. Recent evidence supports the use of some glucose-lowering agents to improve GV, such as the new ultra-long acting insulin analogs, as these agents have a smoother pharmacodynamic profile and improve glycemic control with fewer fluctuations and fewer nocturnal hypoglycemic events. These newer glucose-lowering agents (such as incretin hormones or sodium-glucose cotransporter 2 inhibitors) can also reduce the degree of GV. However, randomized trials are needed to evaluate the effect of GV on important diabetes outcomes. In this review, we discuss the role of HbA1c as a measure of glycemic control and its limitations. We also explore additional glycemic metrics, with a focus on time (duration) in glucose target range, time (duration) in hypoglycemia, GV, GMI, and their correlation with clinical outcomes.

Indexed as

Continuous glucose monitoringGlucose management indicatorGlycemic variabilityHbA1cTime in hypoglycaemiaTime in range

Identifiers

PMID31037553
PMCPMC6531520
OpenAlexW2943456521

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.