Evidence map›Paper›PMID 24876546›Full record

ArticleJournal of diabetes science and technology2014

A Disposable Tear Glucose Biosensor-Part 4: Preliminary Animal Model Study Assessing Efficacy, Safety, and Feasibility.

Jeffrey T La Belle, Erica Engelschall, Kenneth Lan, Pankti Shah, Neil Saez, Stephanie Maxwell, Teagan Adamson, Michelle Abou-Eid, Kenyon McAferty, Dharmendra R Patel and 1 more

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes science and technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

11 authors at 2 institutions in 1 country.

Jeffrey T La BelleBiodesign Institute, Arizona State University, Tempe, AZ, USA Harrington Program of Biomedical Engineering, School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA jeffrey.labelle@asu.edu.
Erica EngelschallBiodesign Institute, Arizona State University, Tempe, AZ, USA Harrington Program of Biomedical Engineering, School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Kenneth LanBiodesign Institute, Arizona State University, Tempe, AZ, USA Harrington Program of Biomedical Engineering, School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Pankti ShahBiodesign Institute, Arizona State University, Tempe, AZ, USA Harrington Program of Biomedical Engineering, School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Neil SaezBiodesign Institute, Arizona State University, Tempe, AZ, USA Harrington Program of Biomedical Engineering, School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Stephanie MaxwellBiodesign Institute, Arizona State University, Tempe, AZ, USA Harrington Program of Biomedical Engineering, School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Teagan AdamsonBiodesign Institute, Arizona State University, Tempe, AZ, USA Harrington Program of Biomedical Engineering, School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Michelle Abou-EidBiodesign Institute, Arizona State University, Tempe, AZ, USA Harrington Program of Biomedical Engineering, School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Kenyon McAfertyBiodesign Institute, Arizona State University, Tempe, AZ, USA Harrington Program of Biomedical Engineering, School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Dharmendra R PatelDepartment of Ophthalmology, Mayo Clinic, Scottsdale, AZ, USA.
Curtiss B CookDivisions of Endocrinology and of Preventive, Occupational, and Aerospace Medicine, Mayo Clinic, Scottsdale, AZ, USA.
Arizona State University · USMayo Clinic in Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA prototype tear glucose (TG) sensor was tested in New Zealand white rabbits to assess eye irritation, blood glucose (BG) and TG lag time, and correlation with BG.

methodsA total of 4 animals were used. Eye irritation was monitored by Lissamine green dye and analyzed using image analysis software. Lag time was correlated with an oral glucose load while recording TG and BG readings. Correlation between TG and BG were plotted against one another to form a correlation diagram, using a Yellow Springs Instrument (YSI) and self-monitoring of blood glucose as the reference measurements. Finally, TG levels were calculated using analytically derived expressions.

resultsFrom repeated testing carried over the course of 12 months, little to no eye irritation was detected. TG fluctuations over time visually appeared to trace the same pattern as BG with an average lag times of 13 minutes. TG levels calculated from the device current measurements ranged from 4 to 20 mg/dL and correlated linearly with BG levels of 75-160 mg/dL (TG = 0.1723 BG = 7.9448 mg/dL; R

conclusionThe first steps were taken toward preliminary development of a sensor for self-monitoring of tear glucose (SMTG). No conjunctival irritation in any of the animals was noted. Lag time between TG and BG was found to be noticeable, but a quantitative modeling to correlate lag time in this study is unnecessary. Measured currents from the sensors and the calculated TG showed promising correlation to BG levels. Previous analytical bench marking showed BG and TG levels consistent with other literature.

Indexed as

biosensordiabetes mellituspower analysissample size determinationtear glucose monitoring

Identifiers

PMID24876546
PMCPMC4454120
OpenAlexW2327967554

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.