Evidence map›Paper›PMID 28459159›Full record

ArticleJournal of diabetes science and technology2017

A Comparison of Time Delay in Three Continuous Glucose Monitors for Adolescents and Adults.

Manasi Sinha, Katherine M McKeon, Savan Parker, Laura G Goergen, Hui Zheng, Firas H El-Khatib, Steven J Russell

Abstract readComparative Study
In one paragraph

Article in Journal of diabetes science and technology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 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

7 authors at 4 institutions in 1 country.

Manasi Sinha1 Diabetes Unit and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Katherine M McKeon2 Texas A&M University Health Science Center, Houston, TX, USA.
Savan Parker1 Diabetes Unit and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Laura G Goergen1 Diabetes Unit and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Hui Zheng1 Diabetes Unit and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Firas H El-Khatib3 Department of Biomedical Engineering, Boston University, Boston, MA, USA.
Steven J Russell1 Diabetes Unit and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Massachusetts General Hospital · USBoston University · USHarvard University · USThe University of Texas Health Science Center at Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe physiologic delay in glucose diffusion from the blood to the interstitial fluid and instrumental factors contribute to the delay between changes in plasma glucose (PG) and measurements made by continuous glucose monitors (CGMs). This study compared the duration of this delay for three CGMs.

methodsA total of 24 healthy adolescent and adult subjects with type 1 diabetes wore three CGM devices simultaneously for 48 hours: Dexcom G4 Platinum, Abbott Navigator, and Medtronic Enlite. The time delay between PG and CGM-estimated plasma glucose (CGMG) was estimated by comparing time-shifted CGMG with reference PG taken every 15 minutes.

resultsThe delay estimated by our approach was larger for the Navigator than for the G4 Platinum in adolescents (7.7 ± 1.1 versus 5.6 ± 0.9 min, P = .0396) and adults (10.9 ± 1.1 versus 8.1 ± 0.7 min, P = .0107). The delay was nominally longer for the Navigator than for the Enlite in both the adolescent (7.7 ± 1.1 versus 4.3 ± 1.0 min, P = .0728) and adult (10.9 ± 1.1 versus 8.3 ± 0.9 min, P = .111) populations, but these differences were not statistically significant. There was no difference in the delay between G4 Platinum and Enlite. Adolescents had shorter delays than adults for all three devices. There was a significant correlation between longer delay and increasing age for the G4 Platinum and Navigator.

conclusionsThere are differences in the estimated PG to CGMG time delays between CGM devices in the same subjects. The delay between PG and CGMG is smaller for adolescents than for adults. The PG-to-CGMG time delay is influenced by both instrument and host factors.

Indexed as

TransducersAdolescentAdultAgedAge FactorsBiomarkersBlood GlucoseBlood Glucose Self-MonitoringChildDiabetes Mellitus, Type 1Equipment DesignExtracellular FluidFemaleHumansHypoglycemic AgentsInsulinBiomarkersBlood GlucoseHypoglycemic AgentsInsulinCGMcontinuous glucose monitoringinterstitial fluidphysiologic delay

Identifiers

PMID28459159
PMCPMC5951038
OpenAlexW2611014035

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.