Evidence map›Paper›PMID 37786261›Full record

ArticleJournal of diabetes science and technology2025

System Accuracy and Interference Evaluation of a New Glucose Dehydrogenase-Based Blood Glucose Meter for Patient Self-Testing.

Andreas Pfützner, Daiva Kalasauske, Mina Hanna, Daniela Sachsenheimer, Gerhard Raab, Silvia Weissenbacher, Nicole Thomé

Open access · greenAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 2 countries.

Andreas PfütznerPfützner Science & Health Institute, Mainz, Germany.ORCID 0000-0003-2385-0887
Daiva KalasauskePfützner Science & Health Institute, Mainz, Germany.
Mina HannaPfützner Science & Health Institute, Mainz, Germany.ORCID 0000-0002-0951-5049
Daniela SachsenheimerPfützner Science & Health Institute, Mainz, Germany.
Gerhard RaabSciema GmbH, Mainz, Germany.
Silvia WeissenbacherMedtrust GmbH, Marz, Austria.
Nicole ThoméLifecare Laboratory GmbH, Mainz, Germany.
TH Bingen University of Applied Sciences · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New European medical device regulations require the performance of postmarketing surveillance evaluations for blood glucose meters (BGMs). We conducted an ISO15197:2015-conform system performance evaluation with the approved glucose dehydrogenase (GDH)-based Wellion NEWTON BGM. One hundred subjects were enrolled into the study (44 female, 56 male, 43 healthy subjects, 23 type 1 diabetes, 34 type 2 diabetes, age: 53.7 ± 15.8 years). In addition, manipulated heparinized whole blood was used for a laboratory interference test with ten selected substances (interference definition: substance-induced bias > 10%). The mean absolute relative difference (MARD) was 4.7%, and 100% of the values were in zones A (99.7%) and B (0.3%), respectively, of the consensus error grid. Interference was observed with xylose only, which is a known interfering substance for GDH-based BGMs.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Glucose 1-DehydrogenaseAdultAgedFemaleHumansMaleMiddle AgedReproducibility of ResultsBlood GlucoseGlucose 1-Dehydrogenaseblood glucose meterglucose dehydrogenaseinterferencepatient self-testing

Identifiers

PMID37786261
PMCPMC11874304
OpenAlexW4387296044

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.