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Diagnostic accuracy of S-Detect in distinguishing benign and malignant thyroid nodules: A meta-analysis

OBJECTIVES: In this meta-analysis study, the main objective was to determine the accuracy of S-detect in effectively distinguishing malignant thyroid nodules from benign thyroid nodules. METHODS: We searched the PubMed, Cochrane Library, and CBM databases from inception to August 1, 2021. Meta-analy...

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Autores principales: Zhong, Lin, Wang, Cong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355179/
https://www.ncbi.nlm.nih.gov/pubmed/35930525
http://dx.doi.org/10.1371/journal.pone.0272149
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author Zhong, Lin
Wang, Cong
author_facet Zhong, Lin
Wang, Cong
author_sort Zhong, Lin
collection PubMed
description OBJECTIVES: In this meta-analysis study, the main objective was to determine the accuracy of S-detect in effectively distinguishing malignant thyroid nodules from benign thyroid nodules. METHODS: We searched the PubMed, Cochrane Library, and CBM databases from inception to August 1, 2021. Meta-analysis was conducted using STATA version 14.0 and Meta-Disc version 1.4 softwares. We calculated summary statistics for sensitivity (Sen), specificity (Spe), positive and negative likelihood ratio (LR(+)/LR(−)), diagnostic odds ratio(DOR), and receiver operating characteristic (SROC) curves. Cochran’s Q-statistic and I(2) test were used to evaluate potential heterogeneity between studies. A sensitivity analysis was performed to evaluate the influence of single studies on the overall estimate. We also performed meta-regression analyses to investigate the potential sources of heterogeneity. RESULTS: In this study, a total of 17 studies meeting the requirements of the standard were used. The number of benign and malignant nodules analyzed and evaluated in this paper was 1595 and 1118 respectively. This paper mainly completes the required histological confirmation through s-detect. The pooled Sen and pooled Spe were 0.87 and 0.74, respectively, (95%CI = 0.84–0.89) and (95%CI = 0.66–0.81). Furthermore, the pooled LR(+) and negative LR(−) were determined to be 3.37 (95%CI = 2.53–4.50) and 0.18 (95%CI = 0.15–0.21), respectively. The experimental results showed that the pooled DOR of thyroid nodules was 18.83 (95% CI = 13.21–26.84). In addition, area under SROC curve was determined to be 0.89 (SE = 0.0124). It should be pointed out that there is no evidence of bias (i.e. t = 0.25, P = 0.80). CONCLUSIONS: Through this meta-analysis, it can be seen that the accuracy of s-detect is relatively high for the effective distinction between malignant thyroid nodules and benign thyroid nodules.
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spelling pubmed-93551792022-08-06 Diagnostic accuracy of S-Detect in distinguishing benign and malignant thyroid nodules: A meta-analysis Zhong, Lin Wang, Cong PLoS One Research Article OBJECTIVES: In this meta-analysis study, the main objective was to determine the accuracy of S-detect in effectively distinguishing malignant thyroid nodules from benign thyroid nodules. METHODS: We searched the PubMed, Cochrane Library, and CBM databases from inception to August 1, 2021. Meta-analysis was conducted using STATA version 14.0 and Meta-Disc version 1.4 softwares. We calculated summary statistics for sensitivity (Sen), specificity (Spe), positive and negative likelihood ratio (LR(+)/LR(−)), diagnostic odds ratio(DOR), and receiver operating characteristic (SROC) curves. Cochran’s Q-statistic and I(2) test were used to evaluate potential heterogeneity between studies. A sensitivity analysis was performed to evaluate the influence of single studies on the overall estimate. We also performed meta-regression analyses to investigate the potential sources of heterogeneity. RESULTS: In this study, a total of 17 studies meeting the requirements of the standard were used. The number of benign and malignant nodules analyzed and evaluated in this paper was 1595 and 1118 respectively. This paper mainly completes the required histological confirmation through s-detect. The pooled Sen and pooled Spe were 0.87 and 0.74, respectively, (95%CI = 0.84–0.89) and (95%CI = 0.66–0.81). Furthermore, the pooled LR(+) and negative LR(−) were determined to be 3.37 (95%CI = 2.53–4.50) and 0.18 (95%CI = 0.15–0.21), respectively. The experimental results showed that the pooled DOR of thyroid nodules was 18.83 (95% CI = 13.21–26.84). In addition, area under SROC curve was determined to be 0.89 (SE = 0.0124). It should be pointed out that there is no evidence of bias (i.e. t = 0.25, P = 0.80). CONCLUSIONS: Through this meta-analysis, it can be seen that the accuracy of s-detect is relatively high for the effective distinction between malignant thyroid nodules and benign thyroid nodules. Public Library of Science 2022-08-05 /pmc/articles/PMC9355179/ /pubmed/35930525 http://dx.doi.org/10.1371/journal.pone.0272149 Text en © 2022 Zhong, Wang https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zhong, Lin
Wang, Cong
Diagnostic accuracy of S-Detect in distinguishing benign and malignant thyroid nodules: A meta-analysis
title Diagnostic accuracy of S-Detect in distinguishing benign and malignant thyroid nodules: A meta-analysis
title_full Diagnostic accuracy of S-Detect in distinguishing benign and malignant thyroid nodules: A meta-analysis
title_fullStr Diagnostic accuracy of S-Detect in distinguishing benign and malignant thyroid nodules: A meta-analysis
title_full_unstemmed Diagnostic accuracy of S-Detect in distinguishing benign and malignant thyroid nodules: A meta-analysis
title_short Diagnostic accuracy of S-Detect in distinguishing benign and malignant thyroid nodules: A meta-analysis
title_sort diagnostic accuracy of s-detect in distinguishing benign and malignant thyroid nodules: a meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355179/
https://www.ncbi.nlm.nih.gov/pubmed/35930525
http://dx.doi.org/10.1371/journal.pone.0272149
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