Evidence map›Paper›PMID 31477942›Full record

ArticleJNMA; journal of the Nepal Medical Association

Accuracy of Glucose Meter among Adults in a Semi-urban Area in Kathmandu, Nepal.

Asmita Pokhrel, Vinutha Silvanus, Buddhi Raj Pokhrel, Binaya Baral, Madhav Khanal, Prajwal Gyawali, Laxman Pokhrel, Deepak Regmi

Open access · diamondAbstract read
In one paragraph

Article in JNMA; journal of the Nepal Medical Association. 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
0.3field-weighted citation impact, top 36% 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, 4 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Asmita PokhrelDepartment of Biochemistry, Nepal Medical College and Teaching Hospital, Kathmandu, Nepal.
Vinutha SilvanusDepartment of Community Medicine, Nepal Medical College and Teaching Hospital, Kathmandu, Nepal.
Buddhi Raj PokhrelDepartment of Biochemistry, Universal College of Medical Sciences, Bhairahawa, Nepal.
Binaya BaralDepartment of Biochemistry, Nepal Medical College and Teaching Hospital, Kathmandu, Nepal.
Madhav KhanalDepartment of Biochemistry, Nepal Medical College and Teaching Hospital, Kathmandu, Nepal.
Prajwal GyawaliSchool of Biomedical Sciences and Pharmacy, University of New Castle, NSW, Australia.
Laxman PokhrelDepartment of Biochemistry, Nepal Medical College and Teaching Hospital, Kathmandu, Nepal.
Deepak RegmiNepal Medical College and Teaching Hospital, Kathmandu, Nepal.
Nepal Medical College Teaching Hospital · NPCollege of Medical Sciences · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGlucose meters are gaining popularity in monitoring of blood glucose at household levels and in health care set-ups due to their portability, affordability and convenience of use over the laboratory based reference methods. Still they are not free of limitations. Operator's technique, extreme temperatures, humidity, patients' medication, hematocrit values can affect the reliability of glucose meter results. Hence, the accuracy of glucose meter has been the topic of concern since years. Therefore, present study aims to evaluate the analytical and clinical accuracy of glucose meter using International Organization for Standardization 15197 guideline.

methodsA community based descriptive cross-sectional study was conducted in Kapan, Kathmandu, Nepal in April 2018. Glucose levels were measured using glucose meter and reference laboratory method simultaneously among 203 adults ≥20 years, after an overnight fasting and two hours of ingestion of 75 grams glucose. Modified Bland-Altman plots were created by incorporating ISO 15197 guidelines to check the analytical accuracy and Park error grid was used to evaluate the clinical accuracy of the device.

resultsModified Bland-Altman plots showed>95% of the test results were beyond the acceptable analytical criteria of ISO 15197:2003 and 2013. Park Error Grid-Analysis showed 99% of the data within zones A and B of the consensus error grid.

conclusionsGlucose meter readings were within clinically acceptable parameters despite discrepancies on analytical merit. Possible sources of interferences must be avoided during the measurement to minimize the disparities and the values should be interpreted with caution.

Indexed as

AdultAgedAged, 80 and overBlood GlucoseBlood Glucose Self-MonitoringCross-Sectional StudiesFemaleHematocritHumansHumidityMaleMiddle AgedNepalReproducibility of ResultsTemperatureYoung AdultBlood Glucoseaccuracy; analytical; Bland-Altman plots; clinical; glucose meter; Park error grid.

Identifiers

PMID31477942
PMCPMC8827580
OpenAlexW2955856493

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.