Evidence map›Paper›PMID 39275680›Full record

ArticleSensors (Basel, Switzerland)2024

Analytical Performance of the FreeStyle Libre 2 Glucose Sensor in Healthy Male Adults.

Eva Fellinger, Tom Brandt, Justin Creutzburg, Tessa Rommerskirchen, Annette Schmidt

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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.

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

7 citing papers in PubMed.

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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.

Eva FellingerNextGenerationEU, dtec.bw Project Smart Health Lab, University of the Bundeswehr Munich, 85579 Neubiberg, Germany.ORCID 0009-0004-9375-0288
Tom BrandtInstitute of Sport Sciences, University of the Bundeswehr Munich, 85579 Neubiberg, Germany.ORCID 0000-0003-1601-7918
Justin CreutzburgInstitute of Sport Sciences, University of the Bundeswehr Munich, 85579 Neubiberg, Germany.
Tessa RommerskirchenInstitute of Sport Sciences, University of the Bundeswehr Munich, 85579 Neubiberg, Germany.
Annette SchmidtNextGenerationEU, dtec.bw Project Smart Health Lab, University of the Bundeswehr Munich, 85579 Neubiberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous Glucose Monitoring (CGM) not only can be used for glycemic control in chronic diseases (e.g., diabetes), but is increasingly being utilized by individuals and athletes to monitor fluctuations in training and everyday life. However, it is not clear how accurately CGM reflects plasma glucose concentration in a healthy population in the absence of chronic diseases. In an oral glucose tolerance test (OGTT) with forty-four healthy male subjects (25.5 ± 4.5 years), the interstitial fluid glucose (ISFG) concentration obtained by a CGM sensor was compared against finger-prick capillary plasma glucose (CPG) concentration at fasting baseline (T0) and 30 (T30), 60 (T60), 90 (T90), and 120 (T120) min post OGTT to investigate differences in measurement accuracy. The overall mean absolute relative difference (MARD) was 12.9% (95%-CI: 11.8-14.0%). Approximately 100% of the ISFG values were within zones A and B in the Consensus Error Grid, indicating clinical accuracy. A paired t-test revealed statistically significant differences between CPG and ISFG at all time points (T0: 97.3 mg/dL vs. 89.7 mg/dL, T30: 159.9 mg/dL vs. 144.3 mg/dL, T60: 134.8 mg/dL vs. 126.2 mg/dL, T90: 113.7 mg/dL vs. 99.3 mg/dL, and T120: 91.8 mg/dL vs. 82.6 mg/dL;

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringAdultBiosensing TechniquesExtracellular FluidGlucose Tolerance TestHealthy VolunteersHumansMaleYoung AdultBlood GlucoseCGMglycemic controlMARDoral glucose tolerance testsensor accuracy

Identifiers

PMID39275680
PMCPMC11397946

What Socratic holds

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Registered trials

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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.