Evidence map›Paper›PMID 32198165›Full record

ArticleBMJ open diabetes research & care2020

Flash glucose monitoring reduces glycemic variability and hypoglycemia: real-world data from Spain.

Fernando Gomez-Peralta, Timothy Dunn, Katherine Landuyt, Yongjin Xu, Juan Francisco Merino-Torres

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05570162 (Clinical Efficacy of a Diabetes Educational Program to Improve Intermittently Continuous Glucose Monitoring), which is not on this map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
10.6field-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.

NCT05570162 nacompletednot on this mapstarted 2022, after this paper: background citation

Clinical Efficacy of a Diabetes Educational Program to Improve Intermittently Continuous Glucose Monitoring (Flash) Adherence in Type 1 Diabetes Patients

TypeinterventionalSponsorCastilla-La Mancha Health ServiceRan2022 to 2023Enrolled34ConditionsType 1 DiabetesArmsDiabetes educational program
3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 93 citations in OpenAlex.

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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 5 countries.

Fernando Gomez-PeraltaEndocrinology and Nutrition Unit, Hospital General de Segovia, Segovia, Castilla y León, Spain fgomezperalta@gmail.com.ORCID 0000-0003-0106-0091
Timothy DunnResearch and Development, Abbott Laboratories, Alameda, California, USA.ORCID 0000-0003-3487-2504
Katherine LanduytDiagnostics Division, Abbott Laboratories, Irving, Texas, USA.ORCID 0000-0002-7687-0876
Yongjin XuResearch and Development, Abbott Laboratories, Alameda, California, USA.ORCID 0000-0001-9446-8402
Juan Francisco Merino-TorresDepartment of Medicine, Universitat de València Facultat de Medicina i Odontologia, Valencia, Comunitat Valenciana, Spain.ORCID 0000-0002-0191-4504
Abbott (United Kingdom) · GBUnité de Nutrition Humaine · FRUniversitat de València · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveObservations in real-world settings support and extend findings demonstrated in randomized controlled trials that show flash glucose monitoring improves glycemic control. In this study, Spain-specific relationships between testing frequency and glycemic parameters were investigated under real-world settings. RESEARCH DESIGN AND

methodsDeidentified glucose and user scanning data were analyzed and readers were rank ordered into 20 equal sized groups by daily scan frequency. Glucose parameters were calculated for each group: estimated HbA1c, time below range (<70 and ≤54 mg/dL), within range (70-180 mg/dL), and above range (>180 mg/dL). Glycemic variability (GV) metrics were described and data obtained from sensors in Spain and worldwide were compared.

resultsSpanish users (n=22 949) collected 37.1 million glucose scans, 250 million automatically recorded glucose readings, and checked glucose values via a mean of 13 scans/day. Estimated HbA1c, time below 70 mg/dL, at or below 54 mg/dL, above 180 mg/dL, and GV metrics were significantly lower in the highest compared with lowest scan rate group (39.6 to 3.9 scans/day). Time-in-range was higher for the highest versus lowest scan rate group at 15.6 vs 11.5 hours/day, respectively. GV metrics correlated positively with time below 70 mg/dL, at or below 54 mg/dL, above 180 mg/dL, and negatively with time-in-range. The relationship between glucose metrics and scan rate was similar in Spain and worldwide. However, time in hypoglycemia in Spain was higher in the groups with lower scan rates.

conclusionsAs seen in clinical trials, flash glucose monitoring in real-world settings allows frequent glucose checks. High scan rates are associated with the favorable glycemic markers of increased time-in-range and reduced time in hyperglycemia and hypoglycemia, and GV. The same trends, with unique nuances, are observed in both Spanish and global data.

Indexed as

Diabetes Mellitus, Type 1HypoglycemiaBlood GlucoseBlood Glucose Self-MonitoringGlucoseHumansSpainBlood GlucoseGlucoseblood glucose monitoringglycemic controlhypoglycemia

Identifiers

PMID32198165
PMCPMC7103828
OpenAlexW3010981324

What OpenQuestion holds

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LicenceCC BY-NC
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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.