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Licensed Unlicensed Requires Authentication Published by De Gruyter August 24, 2019

Unstimulated high-sensitive thyroglobulin is a powerful prognostic predictor in patients with thyroid cancer

  • Luca Giovanella ORCID logo EMAIL logo , Marco Castellana ORCID logo and Pierpaolo Trimboli ORCID logo

Abstract

Background

Differentiated thyroid carcinoma (DTC) has an excellent prognosis and the role of high-sensitive thyroglobulin measured during levothyroxine (ON-T4 hs-Tg) testing to discriminate patients with structural from not-evidence of disease (SED and NED, respectively) has been investigated. We conducted a systematic review and meta-analysis evaluating the performance of ON-T4 hs-Tg in two clinical scenarios considering its negative predictive value (NPV) as primary outcome: (1) diagnostic performance of Tg when undetectable value and NED status are simultaneously demonstrated; (2) prognostic performance of undetectable Tg in predicting NED in the subsequent follow-up.

Methods

This systematic review and meta-analysis were registered on PROSPERO (CRD42019125092). PubMed, Scopus, CENTRAL and Web of Science were searched until February 12, 2019. Original articles reporting data on SED/NED in patients with detectable/undetectable ON-T4 hs-Tg were selected. Summary operating points were estimated using a random-effects model.

Results

Out of 1413 retrieved papers, 10 studies evaluating 1796 patients were included. Participants were outpatients diagnosed with DTC, treated with near-total (NTx) or total thyroidectomy (TTx) with or without radioactive iodine (RAI). The NPV of ON-T4 hs-Tg for diagnostic and prognostic performance was 99.4% (95% CI 98.9–99.9; I2 = 13%) and 99.4% (95% CI 98.8–100; I2 = 0%), respectively.

Conclusions

Our findings show that ON-T4 hs-Tg is an excellent diagnostic tool and prognostic factor to rule-out SED. A high level of evidence is provided to decrease the intensity and frequency of follow-up in those DTC patients having undetectable high-sensitive Tg.


Corresponding author: Prof. Dr. med. Luca Giovanella, Clinic for Nuclear Medicine and Competence Center for Thyroid Diseases, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Via Ospedale 12, Bellinzona 6500, Switzerland

Acknowledgments

We thank Myriam Piccaluga (Switzerland) for support in data extraction and interpretation of German papers. We also thank Prof. José Miguel Domínguez (Chile), Pedro Weslley Rosario (Brazil), Klaus Zoephel (Germany), Dr. Armando Flores-Rebollar (Mexico), and Dr. Gian Carlo Zucchelli (Italy) for providing requested data.

  1. Author contributions: LG and PT conceived the meta-analysis. All authors contributed equally to the development of the search strategy, selection criteria, data extraction criteria and risk of bias assessment strategy. MC and PT performed database search, acquired the data, analyzed the data and drafted the manuscript. All authors contributed equally to the interpretation of findings, read, provided feedback, critically reviewed and approved the final manuscript. All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

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Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/cclm-2019-0654).


Received: 2019-06-28
Accepted: 2019-07-30
Published Online: 2019-08-24
Published in Print: 2019-12-18

©2020 Walter de Gruyter GmbH, Berlin/Boston

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