Evidence map›Paper›PMID 28877765›Full record

ArticleBMC research notes2017

A comparative assessment of the glucose monitor (SD Codefree) and auto analyzer (BT-3000) in measuring blood glucose concentration among diabetic patients.

Osman Nabayire Kanwugu, Gideon Kofi Helegbe, Paul Armah Aryee, Nathaniel Amigamsa Akontatiba, Jacob Ankrah, Nsoh Godwin Anabire, Frank Anaba, Benjamin Ahenkora

Open access · goldAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC research notes, 2017. 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
0.4field-weighted citation impact, top 35% 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, 6 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

8 authors at 2 institutions in 1 country.

Osman Nabayire KanwuguDepartment of Biochemistry & Molecular Medicine, School of Medicine and Health Sciences, University for Development Studies, P. O. Box TL 1883, Tamale, Ghana.
Gideon Kofi HelegbeDepartment of Biochemistry & Molecular Medicine, School of Medicine and Health Sciences, University for Development Studies, P. O. Box TL 1883, Tamale, Ghana. ghelegbe@uds.edu.gh.
Paul Armah AryeeDepartment of Community Nutrition, School of Allied Health Sciences, University for Development Studies, P. O. Box TL 1883, Tamale, Ghana.
Nathaniel Amigamsa AkontatibaDepartment of Applied Chemistry & Biochemistry, University for Development Studies, P. O. Box 24, Navrongo, Ghana.
Jacob AnkrahDepartment of Hematology, Tamale Central Hospital-Tamale, Tamale, Ghana.
Nsoh Godwin AnabireDepartment of Biochemistry & Molecular Medicine, School of Medicine and Health Sciences, University for Development Studies, P. O. Box TL 1883, Tamale, Ghana.
Frank AnabaDepartment of Biochemistry & Molecular Medicine, School of Medicine and Health Sciences, University for Development Studies, P. O. Box TL 1883, Tamale, Ghana.
Benjamin AhenkoraBolgatanga Regional Hospital, Upper East, Bolgatanga, Ghana.
University for Development Studies · GHTamale Teaching Hospital · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to determine how well the measurements from a glucometer (SD Codefree) correlated with those from a standard auto analyser (BT-3000) using blood samples from diabetic and non-diabetic patients at the Bolgatanga Regional Hospital in Ghana. A cross-sectional study was conducted with a total of 150 randomly selected patients; 100 diabetic patients (4 type 1 and 96 type II) and 50 non diabetic patients. Ante-cubital venous and finger pricked blood samples were obtained from the patients following standard procedures, and blood glucose concentrations were determined using the two methods respectively.

resultsData generated was entered and analysed using SPSS version 20. The mean glucose concentration for the diabetic patients (n = 100) using the glucometer were not significantly different from that of the auto analyser (10.16 ± 3.708 mmol/L vs. 9.458 ± 3.204 mmol/L, p = 0.154), though the glucometer generally overestimated the glucose concentration. Similarly, readings for non-diabetics were comparable between the two methods (5.286 ± 0.477 mmol/L vs. 5.092 ± 0.525 mmol/L, p = 0.057). The correlation between the two methods was good and highly significant (r = 0.862, p < 0.001) with both methods depicting high sensitivity and specificity in measuring blood glucose levels among diabetics as indicated by the ROC curve.

Indexed as

AdultAgedAged, 80 and overBlood GlucoseDiabetes MellitusFemaleHumansMaleMiddle AgedMonitoring, PhysiologicYoung AdultBlood GlucoseAuto analyzerDiabetes mellitusGlucometerHyperglycaemia

Identifiers

PMID28877765
PMCPMC5588599
OpenAlexW2752785338

What OpenQuestion holds

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LicenceCC BY
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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.