Evidence map›Paper›PMID 40922020›Full record

ArticleThyroid research2025

Comparative analysis of three thyroglobulin immunoassays: analytical performance and clinical implications.

Evelina La Civita, Mariano Fiorenza, Giuseppe Jannuzzi, Carmela Polito, Rosa Sirica, Gianluigi Carbone, Domenica Sorvillo, Aniello Saviano, Daniela Terracciano

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Article in Thyroid research, 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

9 authors.

Evelina La CivitaDepartment of Translational Medical Sciences, University of Naples "Federico II", Via S. Pansini, Naples, 5 - 80131, +39817462038, Italy.
Mariano FiorenzaDepartment of Translational Medical Sciences, University of Naples "Federico II", Via S. Pansini, Naples, 5 - 80131, +39817462038, Italy.
Giuseppe JannuzziDepartment of Translational Medical Sciences, University of Naples "Federico II", Via S. Pansini, Naples, 5 - 80131, +39817462038, Italy.
Carmela PolitoDepartment of Translational Medical Sciences, University of Naples "Federico II", Via S. Pansini, Naples, 5 - 80131, +39817462038, Italy.
Rosa SiricaDepartment of Translational Medical Sciences, University of Naples "Federico II", Via S. Pansini, Naples, 5 - 80131, +39817462038, Italy.
Gianluigi CarboneDepartment of Translational Medical Sciences, University of Naples "Federico II", Via S. Pansini, Naples, 5 - 80131, +39817462038, Italy.
Domenica SorvilloDepartment of Translational Medical Sciences, University of Naples "Federico II", Via S. Pansini, Naples, 5 - 80131, +39817462038, Italy.
Aniello SavianoDepartment of Translational Medical Sciences, University of Naples "Federico II", Via S. Pansini, Naples, 5 - 80131, +39817462038, Italy.
Daniela TerraccianoDepartment of Translational Medical Sciences, University of Naples "Federico II", Via S. Pansini, Naples, 5 - 80131, +39817462038, Italy. daniela.terracciano@unina.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSerum thyroglobulin (Tg) is a key biomarker in the post-surgical monitoring of differentiated thyroid cancer (DTC). However, inter-assay variability among different immunoassay platforms can impact clinical interpretation, particularly at low Tg concentrations. This study aimed to compare the analytical performance and concordance of three widely used Tg immunoassays, Access (Beckman Coulter, Tg-B), Atellica (Siemens, Tg-A), and Liaison (Diasorin, Tg-L), with a focus on their agreement across clinically relevant Tg ranges.

methodsA total of 103 residual serum samples from subjects with or without thyroid pathology were analyzed using Tg-B, Tg-A, and Tg-L. Correlation analysis, Bland-Altman plots, and concordance rates were evaluated across three Tg concentration intervals: <2 ng/mL, 2-50 ng/mL, and > 50 ng/mL. Tg-B was used as the reference method for comparison.

resultsAll three assays demonstrated strong overall correlations. Tg-L showed a very strong correlation with Tg-B (ρ = 0.89), with moderate agreement at Tg < 2 ng/mL. Tg-A also correlated well with Tg-B (ρ = 0.92), though agreement declined slightly at higher concentrations (> 50 ng/mL). The concordance rate for detecting undetectable Tg (< 0.2 ng/mL) was 96% for Tg-L and 98% for Tg-A when compared to Tg-B. Bland-Altman analysis revealed a significant negative bias for Tg-L versus Tg-B, while Tg-A and Tg-B showed no significant difference. A significant discrepancy was also observed between Tg-L and Tg-A.

conclusionsAlthough the three Tg immunoassays demonstrated high correlation, notable differences emerged at lower and higher Tg levels, likely due to assay-specific antibody characteristics and calibrator variability. Our findings underscore the need for re-baselining when switching methods in longitudinal follow-up. However, the use of residual serum samples from a heterogeneous population, including individuals with and without thyroid pathology limits the direct clinical generalizability of the results and underscores the need for further validation in well-characterized post-thyroidectomy DTC cohorts.

Indexed as

Clinical decision-makingDifferentiated thyroid carcinomaImmunoassay comparisonMethod validationThyroglobulinThyroid cancer

Identifiers

PMID40922020
PMCPMC12418655

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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.