Evidence map›Paper›PMID 40404331›Full record

ArticleBMJ open2025

Random capillary blood glucose in the diagnosis of diabetes: a cross-sectional study in Bangladesh.

Bishwajit Bhowmik, Tasnima Siddiquee, Sanjida Binte Munir, Shaila Parvin, Tareen Ahmed, Faria Afsana, Md Faruque Pathan, Nazmul Kabir Qureshi, Ahmed Salam Mir, Rubayat Islam and 12 more

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Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

22 authors.

Bishwajit BhowmikCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh doctorbiplob@gmail.com.ORCID http://orcid.org/0000-0003-1114-5873
Tasnima SiddiqueeCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Sanjida Binte MunirCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Shaila ParvinCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Tareen AhmedCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Faria AfsanaDepartment of Endocrinology, BIRDEM, Dhaka, Bangladesh.
Md Faruque PathanDepartment of Endocrinology, BIRDEM, Dhaka, Bangladesh.
Nazmul Kabir QureshiDepart of Endocrinology, National Heallth Care Netwrok (NHN), Diabetic Association of Bangladesh, Dhaka, Bangladesh, Dhaka, Bangladesh.
Ahmed Salam MirBIHS, Dhaka, Bangladesh.
Rubayat IslamDepartment of Diabetology, NHN, Dhaka, Bangladesh.
Md Sarowar Uddin MilonDepartment of Endocrinology, BSMMU, Dhaka, Bangladesh.
Rahat Iqbal ChowdhuryNCDC, DGHS, Dhaka, Bangladesh.ORCID http://orcid.org/0009-0004-6166-2646
Rie OzakiJICA, Dhaka, Bangladesh.
Dulal Chandra RayDC Ray Diabetes Center, Dinajpur, Bangladesh.
Sumon Rahman ChowdhuryBADAS, Chittagong, Bangladesh.
Sanjib Salah AufiBADAS, Rajshahi, Bangladesh.
Shamima AkhtarCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Tamanna AfrozCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Mohammad Abdus SamadDepart of Endocrinology, National Heallth Care Netwrok (NHN), Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Hajera MahtabCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh.
Md Robed AminNCDC, DGHS, Dhaka, Bangladesh.
Abul Kalam Azad KhanCentre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the effectiveness of random capillary blood glucose as a diagnostic tool for type 2 diabetes and determine optimal cut-off values for adults in Bangladesh.

designCross-sectional diagnostic accuracy study.

setting16 diabetes centres were selected randomly from all eight administrative divisions of Bangladesh.

participantsA total of 3200 adults aged 18 years and older were recruited using systematic random sampling between May and September 2022. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was the diagnostic accuracy of random capillary blood glucose compared to fasting plasma glucose, 2-hour plasma glucose after a 75-gram glucose load and glycated haemoglobin. Secondary outcomes included sensitivity, specificity, area under the curve and agreement with the other diagnostic tests.

resultsRandom capillary blood glucose showed a strong positive correlation and high concordance with fasting plasma glucose, 2-hour plasma glucose and glycated haemoglobin. A cut-off value of ≥8.7 mmol/L demonstrated improved diagnostic performance compared with the currently used cut-off of ≥11.1 mmol/L. This new threshold yielded higher sensitivity, specificity, area under the curve and agreement with other standard diagnostic tests. Notably, hyperglycaemic symptoms were not required for diagnosis. The number needed to screen to identify one case of type 2 diabetes using the ≥8.7 mmol/L cut-off was 2.74, lower than that for fasting plasma glucose (2.86) and random capillary blood glucose ≥11.1 mmol/L (4.68).

conclusionsRandom capillary blood glucose may be an effective and affordable diagnostic tool for type 2 diabetes in resource-limited settings. The proposed cut-off of ≥8.7 mmol/L offers improved diagnostic accuracy and reflects the population's glucose distribution pattern.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2AdultAgedBangladeshCapillariesCross-Sectional StudiesFastingFemaleGlycated HemoglobinHumansMaleMiddle AgedSensitivity and SpecificityBlood GlucoseGlycated HemoglobinBangladeshdiagnostic accuracyoral glucose tolerance testprimary carerandom capillary blood glucosescreeningType 2 diabetes

Identifiers

PMID40404331
PMCPMC12096986

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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.