Evidence map›Paper›PMID 40219668›Full record

ArticleJournal of clinical laboratory analysis2025

Intra-Laboratory and Inter-Laboratory Variations Analysis for HbA1c Assays in China: Using Internal Quality Control and External Quality Assessment Data.

Yongyong Lou, Zhiming Shan, Qian Chen, Fengfeng Kang

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

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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

4 authors.

Yongyong LouThe First Affiliated Hospital of Zhejiang University Beilun Branch, Ningbo, China.
Zhiming ShanLaboratory Medicine Center, Zhejiang Center for Clinical Laboratory, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.
Qian ChenLaboratory Medicine Center, Zhejiang Center for Clinical Laboratory, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.
Fengfeng KangLaboratory Medicine Center, Zhejiang Center for Clinical Laboratory, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.ORCID https://orcid.org/0000-0002-1991-4801

Funding

Project for Science Technology Department of Zhejiang Province 2020C35057Zhejiang Provincial Project for Medical and Health Science and Technology 2022KY526Zhejiang Provincial Project for Medical and Health Science and Technology 2024KY759
6 · The paper itself

Abstract

objectivesWith the worldwide increase of diabetes mellitus prevalence, ensuring the performance of HbA1c assays is essential. Internal quality control (IQC) and external quality assessment (EQA) serve as critical components of quality assurance systems and provide comprehensive performance assessment. We aimed to evaluate the intra-laboratory and inter-laboratory variations of HbA1c assays using EQA and IQC data.

methodsA total of 326 laboratories continuously participating in the HbA1c EQA program from 2020 to 2023 were included, of which 168 laboratories reported IQC data voluntarily. Acceptance rates and bias were evaluated at three levels: per sample, per year, and per manufacturer. Intra-laboratory and inter-laboratory variations were assessed according to biological variation (BV) criteria and clinical guidelines.

resultsThe mean acceptance rates for 20 EQA samples were 48.5%, 77.8%, 86.7% within optimum, desirable, minimum BV criteria. Annual average acceptance rates increased from 91.8% to 96.9% based on EQA criterion. The absolute manufacturer-specific bias varied from 0.02% to 4.1%. By 2023, the overall inter-laboratory variation significantly decreased to 2.1%-2.6%. The median intra-laboratory variations reduced from 1.6% to 1.4% at the low QC level and from 1.2% to 1.0% at the high QC level. 58.9% and 79.8% of laboratories achieved an intra-laboratory CV < 1.5% for low and high QC levels, respectively.

conclusionsBoth inter-laboratory and intra-laboratory variations of HbA1c measurement have significantly decreased over the years. However, the difference among manufacturers still exists, and ongoing efforts are required to fully comply with clinical guideline requirements.

Indexed as

Glycated HemoglobinLaboratoriesLaboratories, ClinicalChinaDiabetes MellitusHumansQuality ControlReproducibility of ResultsGlycated Hemoglobinhemoglobin A1c protein, humanbiological variationcoefficient of variationexternal quality assessmentHbA1cinternal quality control

Identifiers

PMID40219668
PMCPMC12019688

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