Evidence map›Paper›PMID 32784247›Full record

Observational studyBMJ open diabetes research & care2020

Performance of the Eversense versus the Free Style Libre Flash glucose monitor during exercise and normal daily activities in subjects with type 1 diabetes mellitus.

Marion Fokkert, Peter R van Dijk, Mireille A Edens, Alberto Díez Hernández, Robbert Slingerland, Rijk Gans, Elías Delgado Álvarez, Henk Bilo

Open access · goldAbstract readObservational Study
In one paragraph

Observational study 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. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Managing discordance between HbADiabetic medicine : a journal of the British Diabetic Association · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Race Across America: First Athlete With Type 1 Diabetes to Finish Solo With Diabetes Technology Support.Diabetes spectrum : a publication of the American Diabetes Association · 2022
    Article
  15. Review
  16. 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

8 authors at 4 institutions in 2 countries.

Marion FokkertDepartment of Clinical Chemistry, Isala, Zwolle, NA, The Netherlands.ORCID 0000-0002-4687-1157
Peter R van DijkInternal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands p.r.van.dijk@umcg.nl.ORCID 0000-0002-9702-6551
Mireille A EdensDepartment Innovation and Science, Isala, Zwolle, NA, The Netherlands.ORCID 0000-0001-5449-5035
Alberto Díez HernándezSección de Endocrinología, Hospital del Bierzo, Ponferrada, Castilla y León, Spain.
Robbert SlingerlandDepartment of Clinical Chemistry, Isala, Zwolle, NA, The Netherlands.
Rijk GansInternal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Elías Delgado Álvarez *Sección de Diabetes, Universidad de Oviedo, Oviedo, Asturias, Spain.ORCID 0000-0001-6114-9712
Henk Bilo *Diabetes Research Center, Isala, Zwolle, NA, The Netherlands.
Isala · NLUniversity Medical Center Groningen · NLHospital El Bierzo · ESUniversidad de Oviedo · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAccurate blood glucose measurements are important in persons with diabetes during normal daily activities (NDA), even more so during exercise. We aimed to investigate the performance of fluorescence sensor-based and glucose oxidase-based interstitial glucose measurement during (intensive) exercise and NDA. RESEARCH DESIGN AND

methodsProspective, observational study in 23 persons with type 1 diabetes when mountain biking for 6 days, followed by 6 days of NDA. Readings of the Eversense (fluorescence-based continuous glucose monitoring (CGM); subcutaneously implanted) and of the Free Style Libre (FSL; glucose oxidase-based flash glucose monitoring (FGM); transcutaneously placed) were compared with capillary glucose levels (Free Style Libre Precision NeoPro strip (FSLCstrip)).

resultsMean average differences (MAD) and mean average relative differences (MARD) were significantly different when comparing exercise with NDA (reference FSLCstrip); Eversense MAD 25±19 vs 17±6 mg/dL (p<0.001); MARD 17±6 vs 13%±6% (p<0.01) and FSL MAD 32±17 vs 18±8 mg/dL (p<0.01); MARD 20±7 vs 12%±5% (p<0.001).When analyzing the data according to the Integrated Continuous Glucose Monitoring Approvals (class II-510(K) guidelines), the overall performance of interstitial glucose readings within 20% of the FSLCstrip during exercise compared with NDA was 69% vs 81% for the Eversense and 59% vs 83% for the FSL, respectively. Within 15% of the FSLCstrip was 59% vs 70% for the Eversense and 46% vs 71% for the FSL.

conclusionsDuring exercise, both fluorescence and glucose oxidase-based interstitial glucose measurements (using Eversense and FSL sensors) were less accurate compared with measurements during NDA. Even when acknowledging the beneficial effects of CGM or FGM, users should be aware of the risk of diminished accuracy of interstitial glucose readings during (intensive) exercise.

Indexed as

Diabetes Mellitus, Type 1Blood GlucoseBlood Glucose Self-MonitoringGlucoseHumansProspective StudiesBlood GlucoseGlucoseblood glucose monitoringcontinous blood glucose monitor(s)exercise

Identifiers

PMID32784247
PMCPMC7418676
OpenAlexW3048771645

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.