Evidence map›Paper›PMID 28459160›Full record

ArticleJournal of diabetes science and technology2017

Introduction of a Novel Smartphone-Coupled Blood Glucose Monitoring System.

Nina Jendrike, Annette Baumstark, Chieh-Hsiao Chen, Delia Rittmeyer, Cornelia Haug, Guido Freckmann

Abstract readEvaluation 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Emergence of microneedles as a potential therapeutics in diabetes mellitus.Environmental science and pollution research international · 2022
    Review
  3. Article
  4. Article
  5. 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

6 authors.

Nina Jendrike1 Institut für Diabetes-Technologie Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany.
Annette Baumstark1 Institut für Diabetes-Technologie Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany.
Chieh-Hsiao Chen2 School of Medicine, China Medical University and Beigang Hospital, Taichung, Taiwan.
Delia Rittmeyer1 Institut für Diabetes-Technologie Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany.
Cornelia Haug1 Institut für Diabetes-Technologie Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany.
Guido Freckmann1 Institut für Diabetes-Technologie Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel system for self-monitoring of blood glucose (SMBG) PixoTest couples SMBG to a smartphone and does not require a separate glucose meter. The integrated system includes all components necessary for a glucose measurement, and owing to a colorimetric measurement principle, a smartphone camera can capture color changes and a software app calculates the corresponding glucose value. In the presented study, the system was evaluated in terms of system accuracy as described in ISO 15197:2013. It was shown to fulfill system accuracy requirements with 97-99% of results from three different reagent system lots within the accuracy limits and 100% of results within zone A of the consensus error grid.

Indexed as

Mobile ApplicationsSmartphoneBiomarkersBlood GlucoseBlood Glucose Self-MonitoringDiabetes MellitusHumansPredictive Value of TestsReproducibility of ResultsTime FactorsBiomarkersBlood GlucoseISO 15197:2013self-monitoring of blood glucosesmartphonetechnology

Identifiers

PMID28459160
PMCPMC5951043

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.