Evidence map›Paper›PMID 39986264›Full record

ArticleEndocrinology, diabetes & metabolism case reports2025

Accuracy validation and user performance analysis of two new self-monitoring blood glucose systems.

Tun-Yu Huang, Yu-Hsi Chen, Yu-Ching Li, Yen-Hsin Chiu, Hui-Jun Kang, Chih-Yu Chen

Abstract read
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Article in Endocrinology, diabetes & metabolism case reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tun-Yu HuangProspective Wound Medicine Research Center, Show Chwan Memorial Hospital, Changhua, Taiwan.
Yu-Hsi ChenDepartment of Orthopedics, Show Chwan Memorial Hospital, Changhua, Taiwan.
Yu-Ching LiDepartment of Family Medicine, Show Chwan Memorial Hospital, Changhua, Taiwan.
Yen-Hsin ChiuMicrolife Medical Technology Co., Ltd, Taipei City, Taiwan.
Hui-Jun KangMicrolife Medical Technology Co., Ltd, Taipei City, Taiwan.
Chih-Yu ChenDepartment of Orthopedics, Shuang-Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.ORCID https://orcid.org/0000-0002-5508-7647

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Summary: Patients with diabetes require regular blood glucose monitoring. We evaluated the precision and user performance of two blood glucose monitoring systems, the accuracy results of GlucoTeq BGM200 and DiaRite BGM300, adhering to the EN_ISO 15197:2015 standards, which require blood glucose ≥100 mg/dL, >95% of the data within ±15% difference, and when blood glucose <100 mg/dL, >95% of the data within ±15 mg/dL. This study assessed their conformity with the YSI analyzer and other leading systems. Participants (n = 101), 18 years of age were included, covering a diverse demographic. Accuracy was determined using the YSI analyzer as the standard, employing linear regression, a consensus error grid and Bland-Altman analyses. The performance of both system users showed 100% conformity within zone A of the consensus error grid, high linear regression coefficients and minimal bias in the Bland-Altman analysis. Subjective satisfaction analyses showed average scores of 4.59 and 4.62 for BGM200 and BGM300, respectively. Comparison with other systems revealed high regression coefficients (CONTOUR®PLUS; R 2 = 0.9960, BGM200; R 2 = 0.9927, BGM300; R 2 = 0.9915, Accu-Chek® Guide; R 2 = 0.9910). Both systems demonstrated reasonable accuracy and user performance comparable to competitors' products and met international standards. Their reliability in real-world scenarios and high user satisfaction make them valuable tools for diabetes management. Learning points: Reasonable accuracy: GlucoTeq BGM200 and DiaRite BGM300 complied with EN ISO 15197:2015 standards, achieving >95% accuracy validated against the reference method the YSI analyzer. High user satisfaction: both systems scored highly (4.59-4.62/5), reflecting ease of use, reliable operation and clear result interpretation. Competitive performance: comparable to leading devices such as CONTOUR®PLUS, with strong correlation coefficients (>0.99). Regulatory compliance: the trial met stringent international standards with a diverse participant group and robust methodology. Broad applicability: reliable for clinical and home use, supporting effective diabetes management.

Indexed as

diabetesself-glucose detection (monitoring) systemsuser performance

Identifiers

PMID39986264
PMCPMC11883857

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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.