Evidence map›Paper›PMID 23172975›Full record

Trial reportDiabetes care2013

Heterogeneity of responses to real-time continuous glucose monitoring (RT-CGM) in patients with type 2 diabetes and its implications for application.

Stephanie J Fonda, Sara J Salkind, M Susan Walker, Mary Chellappa, Nicole Ehrhardt, Robert A Vigersky

2 registry-linked trialsOpen access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetes care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 26% 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.

NCT03196895 nacompletednot on this mapstarted 2017, after this paper: background citation

Treating Type 2 Diabetes by Reducing Postprandial Glucose Elevations: A Paradigm Shift in Lifestyle Modification

TypeinterventionalSponsorUniversity of VirginiaRan2017 to 2020Enrolled192ConditionsDiabetes Mellitus, Type 2ArmsWeight reduction training, PPG training, discrete BG feedback, continuous BG feedback
NCT03207893 nacompletednot on this mapstarted 2018, after this paper: background citation

Benefits of Adding Continuous Glucose Monitoring to Glycemic Load, Exercise, and Monitoring of Blood Glucose (GEM) for Adults With Type 2 Diabetes - Phase 2

TypeinterventionalSponsorUniversity of VirginiaRan2018 to 2020Enrolled24ConditionsDiabetes Mellitus, Type 2ArmsGEM lifestyle modification & continuous glucose monitoring, Routine Care
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Quality of care provided to patients with type 2 diabetes mellitus in Tshwane, South Africa.African journal of primary health care & family medicine · 2024
    Article
  2. Article
  3. Burnout Related to Diabetes Mellitus: A Critical Analysis.Clinical practice and epidemiology in mental health : CP & EMH · 2022
    Review
  4. The Value of Measuring Diabetes Burnout.Current diabetes reports · 2021
    Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Continuous glucose monitoring in 2013.Diabetes technology & therapeutics · 2014
    Article
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

6 authors at 2 institutions in 1 country.

Stephanie J FondaWalter Reed National Military Medical Center, Bethesda, Maryland, USA. fondasj@gmail.com
Sara J Salkind
M Susan Walker
Mary Chellappa
Nicole Ehrhardt
Robert A Vigersky
Walter Reed National Military Medical Center · USAlexander T. Augusta Military Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo characterize glucose response patterns of people who wore a real-time continuous glucose monitor (RT-CGM) as an intervention to improve glycemic control. Participants had type 2 diabetes, were not taking prandial insulin, and interpreted the RT-CGM data independently. RESEARCH DESIGN AND

methodsData were from the first 12 weeks of a 52-week, prospective, randomized trial comparing RT-CGM (n = 50) with self-monitoring of blood glucose (n = 50). RT-CGM was used in 8 of the first 12 weeks. A1C was collected at baseline and quarterly. This analysis included 45 participants who wore the RT-CGM ≥4 weeks. Analyses examined the RT-CGM data for common response patterns-a novel approach in this area of research. It then used multilevel models for longitudinal data, regression, and nonparametric methods to compare the patterns of A1C, mean glucose, glycemic variability, and views per day of the RT-CGM device.

resultsThere were five patterns. For four patterns, mean glucose was lower than expected as of the first RT-CGM cycle of use given participants' baseline A1C. We named them favorable response but with high and variable glucose (n = 7); tight control (n = 14); worsening glycemia (n = 6); and incremental improvement (n = 11). The fifth was no response (n = 7). A1C, mean glucose, glycemic variability, and views per day differed across patterns at baseline and longitudinally.

conclusionsThe patterns identified suggest that targeting people with higher starting A1Cs, using it short-term (e.g., 2 weeks), and monitoring for worsening glycemia that might be the result of burnout may be the best approach to using RT-CGM in people with type 2 diabetes not taking prandial insulin.

Indexed as

AgedBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansMaleMiddle AgedBlood GlucoseGlycated Hemoglobin

Identifiers

PMID23172975
PMCPMC3609537
OpenAlexW2136633371

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.