Evidence map›Paper›PMID 33095035›Full record

ArticleJournal of diabetes science and technology2021

Performance of the Prototype NovioSense Noninvasive Biosensor for Tear Glucose in Type 1 Diabetes.

Petronella Geelhoed-Duijvestijn, Dovile Vegelyte, Alicja Kownacka, Nicoleta Anton, Maurits Joosse, Christopher Wilson

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
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  3. AI-Based Noninvasive Blood Glucose Monitoring: Scoping Review.Journal of medical Internet research · 2024
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  6. Noninvasive Glucose Sensing In Vivo.Sensors (Basel, Switzerland) · 2023
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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

6 authors at 2 institutions in 2 countries.

Petronella Geelhoed-DuijvestijnHaaglanden Medical Centre, The Hague, The Netherlands.ORCID 0000-0003-1254-2635
Dovile VegelyteNovioSense B.V., NovioTech Campus, Nijmegen, The Netherlands.
Alicja KownackaNovioSense B.V., NovioTech Campus, Nijmegen, The Netherlands.
Nicoleta AntonUniversitatea de Medicina si Farmacie, Iasi, Romania.
Maurits JoosseHaaglanden Medical Centre, The Hague, The Netherlands.
Christopher WilsonNovioSense B.V., NovioTech Campus, Nijmegen, The Netherlands.
Medisch Centrum Haaglanden · NLSpitalul Clinic de Recuperare · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe recently published the results of a pilot study measuring glucose in tear fluid. We now show the results of an additional 24 patients.

methodsTwenty-four subjects were recruited from Haaglanden Diabetes Centre. The patients reported in a fasting state and were given a meal with half the usual dose of insulin during the test. The device was applied under the lower eyelid. Glucose levels from capillary blood and interstitial fluid with a flash glucose measurement device were recorded every 15 minutes; the current from the tear glucose sensor was recorded continuously. The eye surface and tolerability were regularly checked. A calibration algorithm to convert tear glucose to blood values was built using a neural network regression model and validated.

resultsNo adverse events were attributed to the sensor coil placed under the lower eyelid. The mean absolute relative difference for the 24-patient subset was 16.7 (after 6 hours total time in the eye). The median absolute relative difference was 13.3. Compared to published data from Abbott (15.7 on day 1), the present device is comparable to Libre, considering that the device was allowed only one hour of equilibration time before the measurements were made.

conclusionThe NovioSense Tear glucose sensor measures blood glucose values with an acceptable accuracy and may become a good alternative to invasive devices.

Indexed as

Biosensing TechniquesDiabetes Mellitus, Type 1Blood GlucoseBlood Glucose Self-MonitoringGlucoseHumansPilot ProjectsBlood GlucoseGlucoseglucose monitoringglucose sensortear glucosetype 1 diabetes

Identifiers

PMID33095035
PMCPMC8655288
OpenAlexW3093522027

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.