Evidence map›Paper›PMID 26846821›Full record

Trial reportJournal of diabetes science and technology2016

Feasibility of an Orthogonal Redundant Sensor incorporating Optical plus Redundant Electrochemical Glucose Sensing.

Sybil A McAuley, Tri T Dang, Jodie C Horsburgh, Anubhuti Bansal, Glenn M Ward, Sarkis Aroyan, Alicia J Jenkins, Richard J MacIsaac, Rajiv V Shah, David N O'Neal

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

Trial report in Journal of diabetes science and technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Human-in-the-Loop Insulin Dosing.Journal of diabetes science and technology · 2021
    Article
  5. Article
  6. Review
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

10 authors at 4 institutions in 2 countries.

Sybil A McAuleyDepartment of Medicine, St Vincent's Hospital, University of Melbourne, Melbourne, Australia Department of Endocrinology & Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia.
Tri T DangMedtronic Diabetes, Northridge, CA, USA.
Jodie C HorsburghDepartment of Medicine, St Vincent's Hospital, University of Melbourne, Melbourne, Australia.
Anubhuti BansalMedtronic Diabetes, Northridge, CA, USA.
Glenn M WardDepartment of Medicine, St Vincent's Hospital, University of Melbourne, Melbourne, Australia Department of Endocrinology & Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia.
Sarkis AroyanMedtronic Diabetes, Northridge, CA, USA.
Alicia J JenkinsDepartment of Medicine, St Vincent's Hospital, University of Melbourne, Melbourne, Australia Department of Endocrinology & Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia NHMRC Clinical Trials Centre, University of Sydney, Sydney, Australia.
Richard J MacIsaacDepartment of Medicine, St Vincent's Hospital, University of Melbourne, Melbourne, Australia Department of Endocrinology & Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia.
Rajiv V ShahMedtronic Diabetes, Northridge, CA, USA.
David N O'NealDepartment of Medicine, St Vincent's Hospital, University of Melbourne, Melbourne, Australia Department of Endocrinology & Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia dno@unimelb.edu.au.
Medtronic (United States) · USUniversity of Melbourne · AUNational Health and Medical Research Council · AUSt Vincent's Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOrthogonal redundancy for glucose sensing (multiple sensing elements utilizing distinct methodologies) may enhance performance compared to nonredundant sensors, and to sensors with multiple elements utilizing the same technology (simple redundancy). We compared the performance of a prototype orthogonal redundant sensor (ORS) combining optical fluorescence and redundant electrochemical sensing via a single insertion platform to an electrochemical simple redundant sensor (SRS).

methodsTwenty-one adults with type 1 diabetes wore an ORS and an SRS concurrently for 7 days. Following sensor insertion, and on Day 4 with a standardized meal, frequent venous samples were collected for reference glucose measurement (laboratory [YSI] and meter) over 3 and 4 hours, respectively. Between study visits reference capillary blood glucose testing was undertaken. Sensor data were processed prospectively.

resultsORS mean absolute relative difference (MARD) was (mean ± SD) 10.5 ± 13.2% versus SRS 11.0 ± 10.4% (P = .34). ORS values in Clarke error grid zones A and A+B were 88.1% and 97.6%, respectively, versus SRS 86.4% and 97.8%, respectively (P = .23 and P = .84). ORS Day 1 MARD (10.7 ± 10.7%) was superior to SRS (16.5 ± 13.4%; P < .0001), and comparable to ORS MARD for the week. ORS sensor survival (time-averaged mean) was 92.1% versus SRS 74.4% (P = .10). ORS display time (96.0 ± 5.8%) was equivalent to SRS (95.6 ± 8.9%; P = .87).

conclusionsCombining simple and orthogonal sensor redundancy via a single insertion is feasible, with accuracy comparing favorably to current generation nonredundant sensors. Addition of an optical component potentially improves sensor reliability compared to electrochemical sensing alone. Further improvement in optical sensing performance is required prior to clinical application.

Indexed as

AdultBlood GlucoseBlood Glucose Self-MonitoringCalibrationDiabetes Mellitus, Type 1Electrochemical TechniquesEquipment DesignFeasibility StudiesFemaleHumansMaleMiddle AgedMonitoring, AmbulatoryBlood Glucoseaccuracycontinuous glucose monitoringoptical fluorescenceorthogonal redundancyreliabilitysensor redundancy

Identifiers

PMID26846821
PMCPMC5038539
OpenAlexW2318165909

What Socratic 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 Socratic graph.