ArticlePractical laboratory medicine2025
Evaluation of harmonization among thyroid hormone testing systems: A comparative study based on external quality assessment data.
Article in Practical laboratory medicine, 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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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.
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Who cites it
1 citing paper in PubMed.
- Evaluating the Quality Performance of Sysmex and Mindray Hematology Analyzers for Blood Cell Counting Based on External Quality Assessment Data.International journal of laboratory hematology · 2026Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To evaluate thyroid hormone test harmonization using external quality assessment (EQA) data, guiding laboratory quality enhancement and big data interoperability. Methods: EQA data for T3, T4, FT3, FT4, and TSH from January 2022 to December 2024 were collected. We calculated the total allowable error for both our laboratory (TEa-Lab) and peer groups (TEa-peer) using bias and coefficient of variation data. We derived harmonization indices (HI) by comparing TEa values against three biological variation thresholds (minimum, desirable, and optimal). An HI value ≤ 1 indicated satisfactory harmonization. Results: The TSH test in our laboratory showed desirable harmonization; however, the HI for T3, T4, FT3, and FT4 ranged from 1.1 to 1.9, failing to reach the minimum harmonization level. Among the peer group tests, the level of coordination of each analysis system varies, and the harmonization levels ranging from below the minimum to the optimal harmonization level, even failing to reach the minimum level. The harmonization level of thyroid hormones between our laboratory and peer groups showed strong consistency. Conclusion: The HI values quantitatively calculated from EQA data accurately reflect the harmonization level between thyroid hormone testing systems in the laboratory and peer groups. This helps identify laboratory issues and implement corrective actions, providing a reference for laboratory big data interoperability and clinical decision-making.
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