Evidence map›Paper›PMID 42040050›Full record

ArticleDiabetology international2026

Comparability of venous versus capillary hemoglobin A1c measurements.

Em Yunir, Syahidatul Wafa, Nuri Dyah Indrasari, Eni Iswati, Eunike V Christabel, Delina Widiyanti, Wismandari Wisnu, Farid Kurniawan, Nida Amalina, Tika Pradnjaparamita and 2 more

Abstract read
In one paragraph

Article in Diabetology international, 2026. 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

What it found

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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

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

12 authors.

Em YunirDivision of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital, Faculty of Medicine Universitas Indonesia, Jalan Diponegoro No. 71, 10430 Jakarta, Indonesia.
Syahidatul WafaDivision of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital, Faculty of Medicine Universitas Indonesia, Jalan Diponegoro No. 71, 10430 Jakarta, Indonesia.
Nuri Dyah IndrasariDepartment of Clinical Pathology,Faculty of Medicine Universitas Indonesia, Dr. Cipto Mangunkusumo National General Hospital, Jalan Diponegoro No. 71, 10430 Jakarta, Indonesia.
Eni IswatiDivision of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital, Faculty of Medicine Universitas Indonesia, Jalan Diponegoro No. 71, 10430 Jakarta, Indonesia.
Eunike V ChristabelDivision of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital, Faculty of Medicine Universitas Indonesia, Jalan Diponegoro No. 71, 10430 Jakarta, Indonesia.
Delina WidiyantiDivision of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital, Faculty of Medicine Universitas Indonesia, Jalan Diponegoro No. 71, 10430 Jakarta, Indonesia.
Wismandari WisnuDivision of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital, Faculty of Medicine Universitas Indonesia, Jalan Diponegoro No. 71, 10430 Jakarta, Indonesia.
Farid KurniawanDivision of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital, Faculty of Medicine Universitas Indonesia, Jalan Diponegoro No. 71, 10430 Jakarta, Indonesia.
Nida AmalinaDivision of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital, Faculty of Medicine Universitas Indonesia, Jalan Diponegoro No. 71, 10430 Jakarta, Indonesia.
Tika PradnjaparamitaMetabolic Disorder, Cardiovascular and Aging Cluster,Faculty of Medicine Universitas Indonesia, Indonesian Medical Education and Research Institute, Jalan Salemba Raya No. 6, 10430 Jakarta, Indonesia.
Dicky L TahaparyDivision of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital, Faculty of Medicine Universitas Indonesia, Jalan Diponegoro No. 71, 10430 Jakarta, Indonesia.
Tri Juli Edi TariganDivision of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital, Faculty of Medicine Universitas Indonesia, Jalan Diponegoro No. 71, 10430 Jakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hemoglobin A1c (HbA1c) level measurement using venous blood sample is essential for diabetes management. However, this method is not always readily accessible in primary health care in Indonesia. This study aimed to evaluate the comparability of venous versus capillary blood HbA1c measurement. Methods: A cross-sectional study was performed, involving subjects with and without type 2 diabetes (T2D). Venous blood samples were analyzed using a high-performance liquid chromatography (HPLC) analyzer. Simultaneously, capillary blood samples from the same subjects were analyzed using a point-of-care testing (POCT) instrument based on capillary electrophoresis (CE). Passing-Bablok regression was performed to assess constant or proportional bias between methods. Bland-Altman test was conducted to evaluate the agreement of HbA1c measurement between venous and capillary. Results: Out of 162 subjects, 129 (79.6%) had diabetes, 9 (5.5%) had newly developed diabetes, and 24 (14.8%) did not have diabetes. Mean venous HbA1c was higher (7.79%) than capillary HbA1c (7.49%). Bland-Altman analysis showed that mean bias for all subjects was -0.30%, with 93.8% of subjects within the limit of agreement. Besides, mean bias between subjects with venous HbA1c < 6.5% and ≥ 6.5% was - 0.14% and -0.38%, respectively. Meanwhile, Passing-Bablok regression showed no constant and proportional bias in subjects with venous HbA1c < 6.5%. However, constant and proportional bias were found in all subjects and in those with venous HbA1c ≥ 6.5%. Conclusions: Capillary HbA1c results have a good agreement with venous HbA1c. Capillary HbA1c POCT method can be considered as an alternative for monitoring diabetes. HbA1c measurement ≥ 6.5% should be interpreted with caution. Supplementary Information: The online version contains supplementary material available at 10.1007/s13340-026-00889-3.

Indexed as

Bland-AltmanCapillary electrophoresis methodComparabilityHemoglobin A1cHPLC method

Identifiers

PMID42040050
PMCPMC13103229

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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.