Evidence map›Paper›PMID 27346965›Full record

ArticleBiochemia medica2016

A model for managing and monitoring the quality of glucometers used in a high-volume clinical setting.

Güzin Aykal, Ayşenur Yegin, Özgür Tekeli, Necat Yilmaz

Open access · diamondAbstract read
In one paragraph

Article in Biochemia medica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 93% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 2 countries.

Güzin AykalCentral Laboratories, Antalya Education and Research Hospital, Antalya, Turkey.
Ayşenur YeginCentral Laboratories, Antalya Education and Research Hospital, Antalya, Turkey.
Özgür TekeliCentral Laboratories, Antalya Education and Research Hospital, Antalya, Turkey.
Necat YilmazCentral Laboratories, Antalya Education and Research Hospital, Antalya, Turkey.
Antalya Eğitim ve Araştırma Hastanesi · TREducation and Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe aim of this study is to present a model for assuring the quality of a large number of glucometers being used in a high-volume hospital clinical setting. MATERIALS AND

methodsInternal quality-control samples and blood samples from two patients were used to determine the accuracy of 83 glucometers used at our hospital. On each glucometer three levels of control were used for glucose concentrations determination. In addition, the difference between the results from patient samples obtained with the glucometers and the hexokinase reference method were compared. The differences were assessed based on the International Organization for Standardization (ISO 15197) standards.

resultsThe glucose concentrations were as follows: 2.51 ± 0.34 mmol/L for the hypo-control samples; 5.12 ± 0.32 mmol/L for the low-control samples; and 16.11 ± 1.03 mmol/L for high-control samples. All results were within the expected ranges. For Patient I, the result with the first group of 52 glucometers was 11.56 ± 0.5 mmol/L, while the result for Patient II with the second group of 31 glucometers was 10.52 ± 0.62 mmol/L. All data points of the study complied with the requirements of the Clarke error grid.

conclusionAll quality-control and comparison assay results were appropriate for evaluating glucometers used in a high-volume hospital setting. The method used in this study can be suggested as a model for laboratory managers, especially in similar high-volume hospitals.

Indexed as

Quality ControlBlood GlucoseEquipment and SuppliesHumansBlood Glucosehigh-volume clinical settingISO 15197point-of-care testing (POCT)quality management program for glucometers

Identifiers

PMID27346965
PMCPMC4910274
OpenAlexW2414189271

What OpenQuestion holds

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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.