Evidence map›Paper›PMID 30060632›Full record

ReviewNutrients2018

Flash Glucose Monitoring: A Review of the Literature with a Special Focus on Type 1 Diabetes.

Giulia Mancini, Maria Giulia Berioli, Elisa Santi, Francesco Rogari, Giada Toni, Giorgia Tascini, Roberta Crispoldi, Giulia Ceccarini, Susanna Esposito

Registry-linked trialOpen access · goldAbstract readEvaluation StudyReview
In one paragraph

Review in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04422821 (Flash Glucose Monitoring in Gestational Diabetes Mellitus), which is not on this map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
6.8field-weighted citation impact, top 2% 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.

NCT04422821 nacompletednot on this mapstarted 2020, after this paper: background citation

Flash Glucose Monitoring in Gestational Diabetes Mellitus: Study Protocol for a Randomized Controlled Trial

TypeinterventionalSponsorMedical University of WarsawRan2020 to 2022Enrolled100ConditionsGestational Diabetes MellitusArmsFlash Glucose Monitoring, Self-Monitoring of Blood Glucose
3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Observational
  8. Article
  9. Postprandial Glucose: A Variable in Continuum.Clinical medicine insights. Endocrinology and diabetes · 2025
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Complications associated with a flash glucose monitoring system in diabetic dogs.Canadian journal of veterinary research = Revue canadienne de recherche veterinaire · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Artificial intelligence perspective in the future of endocrine diseases.Journal of diabetes and metabolic disorders · 2022
    Review
  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

9 authors at 1 institution in 1 country.

Giulia ManciniPediatric Clinic, Department of Surgical and Biomedical Sciences, Università degli Studi di Perugia, 06132 Perugia, Italy. giu87manci@gmail.com.
Maria Giulia BerioliPediatric Clinic, Department of Surgical and Biomedical Sciences, Università degli Studi di Perugia, 06132 Perugia, Italy. mgiuliaberioli@gmail.com.
Elisa SantiPediatric Clinic, Department of Surgical and Biomedical Sciences, Università degli Studi di Perugia, 06132 Perugia, Italy. elisa.santi1988@gmail.com.
Francesco RogariPediatric Clinic, Department of Surgical and Biomedical Sciences, Università degli Studi di Perugia, 06132 Perugia, Italy. rogari.francesco@virgilio.it.
Giada ToniPediatric Clinic, Department of Surgical and Biomedical Sciences, Università degli Studi di Perugia, 06132 Perugia, Italy. toni.giada@gmail.com.
Giorgia TasciniPediatric Clinic, Department of Surgical and Biomedical Sciences, Università degli Studi di Perugia, 06132 Perugia, Italy. giorgia.tascini@gmail.com.
Roberta CrispoldiPediatric Clinic, Department of Surgical and Biomedical Sciences, Università degli Studi di Perugia, 06132 Perugia, Italy. roberta.crispoldi@yahoo.it.
Giulia CeccariniPediatric Clinic, Department of Surgical and Biomedical Sciences, Università degli Studi di Perugia, 06132 Perugia, Italy. giulia.cec@hotmail.it.
Susanna EspositoPediatric Clinic, Department of Surgical and Biomedical Sciences, Università degli Studi di Perugia, 06132 Perugia, Italy. susanna.esposito@unimi.it.ORCID 0000-0003-4103-2837
University of Perugia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In people with type 1 diabetes mellitus (T1DM), obtaining good glycemic control is essential to reduce the risk of acute and chronic complications. Frequent glucose monitoring allows the adjustment of insulin therapy to improve metabolic control with near-normal blood glucose concentrations. The recent development of innovative technological devices for the management of T1DM provides new opportunities for patients and health care professionals to improve glycemic control and quality of life. Currently, in addition to traditional self-monitoring of blood glucose (SMBG) through a glucometer, there are new strategies to measure glucose levels, including the detection of interstitial glucose through Continuous Glucose Monitoring (iCGM) or Flash Glucose Monitoring (FGM). In this review, we analyze current evidence on the efficacy and safety of FGM, with a special focus on T1DM. FGM is an effective tool with great potential for the management of T1DM both in the pediatric and adult population that can help patients to improve metabolic control and quality of life. Although FGM might not be included in the development of an artificial pancreas and some models of iCGM are more accurate than FGM and preferable in some specific situations, FGM represents a cheaper and valid alternative for selected patients. In fact, FGM provides significantly more data than the intermittent results obtained by SMBG, which may not capture intervals of extreme variability or nocturnal events. With the help of a log related to insulin doses, meal intake, physical activity and stress factors, people can achieve the full benefits of FGM and work together with health care professionals to act upon the information provided by the sensor. The graphs and trends available with FGM better allow an understanding of how different factors (e.g., physical activity, diet) impact glycemic control, consequently motivating patients to take charge of their health.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1HumansBlood Glucosecontinuous glucose monitoringflash glucose monitoringtype 1 diabetes

Identifiers

PMID30060632
PMCPMC6115764
OpenAlexW2886163338

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.