Evidence map›Paper›PMID 27154973›Full record

ArticleJournal of diabetes science and technology2016

First Clinical Experience with Retrospective Flash Glucose Monitoring (FGM) Analysis in South Africa: Characterizing Glycemic Control with Ambulatory Glucose Profile.

Larry A Distiller, Iain Cranston, Roger Mazze

Registry-linked trialAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05944718 (Three-arm Pragmatic Randomized Study on the Effectiveness, Feasibility, Acceptability, and Cost of the Use of Continuous Glucose Monitoring Devices Among People Living With Type 1 Diabetes in South Africa), which is not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 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.

NCT05944718 nacompletednot on this mapstarted 2023, after this paper: background citation

Three-arm Pragmatic Randomized Study on the Effectiveness, Feasibility, Acceptability, and Cost of the Use of Continuous Glucose Monitoring Devices Among People Living With Type 1 Diabetes in South Africa

TypeinterventionalSponsorFoundation for Innovative New Diagnostics, SwitzerlandRan2023 to 2025Enrolled246ConditionsType 1 DiabetesArmsContinuous glucose monitor
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Trial
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  6. Article
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  9. Article
  10. Point-of-care HbABMJ open · 2021
    Article
  11. Using Continuous Glucose Monitoring in Clinical Practice.Clinical diabetes : a publication of the American Diabetes Association · 2020
    Article
  12. Observational
  13. Article
  14. Flash Continuous Glucose Monitoring: Implications for Use of Continuous Data in Daily Diabetes Management.Diabetes spectrum : a publication of the American Diabetes Association · 2019
    Article
  15. Article
  16. Article
  17. Using Flash Continuous Glucose Monitoring in Primary Practice.Clinical diabetes : a publication of the American Diabetes Association · 2019
    Article
  18. Review
  19. Article
  20. 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

3 authors.

Larry A DistillerCentre for Diabetes and Endocrinology, Johannesburg, SA larryd@cdediabetes.co.za.
Iain CranstonAGP Clinical Academy, Portsmouth Hospitals, NHST, Portsmouth, UK.
Roger MazzeAGP Clinical Academy, Portsmouth Hospitals, NHST, Portsmouth, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2014, an innovative blinded continuous glucose monitoring system was introduced with automated ambulatory glucose profile (AGP) reporting. The clinical use and interpretation of this new technology has not previously been described. Therefore we wanted to understand its use in characterizing key factors related to glycemic control: glucose exposure, variability, and stability, and risk of hypoglycemia in clinical practice.

methodsClinicians representing affiliated diabetes centers throughout South Africa were trained and subsequently were given flash glucose monitoring readers and 2-week glucose sensors to use at their discretion. After patient use, sensor data were collected and uploaded for AGP reporting.

resultsComplete data (sensor AGP with corresponding clinical information) were obtained for 50 patients with type 1 (70%) and type 2 diabetes (30%), irrespective of therapy. Aggregated analysis of AGP data comparing patients with type 1 versus type 2 diabetes, revealed that despite similar HbA1c values between both groups (8.4 ± 2 vs 8.6 ± 1.7%, respectively), those with type 2 diabetes had lower mean glucose levels (9.2 ± 3 vs 10.3 mmol/l [166 ± 54 vs 185 mg/dl]) and lower indices of glucose variability (3.0 ± 1.5 vs 5.0 ± 1.9 mmol/l [54 ± 27 vs 90 ± 34.2 mg/dl]). This highlights key areas for future focus.

conclusionsUsing AGP, the characteristics of glucose exposure, variability, stability, and hypoglycemia risk and occurrence were obtained within a short time and with minimal provider and patient input. In a survey at the time of the follow-up visit, clinicians indicated that aggregated AGP data analysis provided important new clinical information and insights.

Indexed as

AdultAgedArea Under CurveBlood GlucoseDiabetes MellitusFemaleGlycated HemoglobinHumansMaleMiddle AgedMonitoring, AmbulatoryRetrospective StudiesROC CurveSouth AfricaBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanadvanced glucose sensing technologiesambulatory glucose profileflash glucose monitoring

Identifiers

PMID27154973
PMCPMC5094324

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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.