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Real-time quaking-induced conversion assay is accurate for Lewy body diseases: a meta-analysis.

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Title: Real-time quaking-induced conversion assay is accurate for Lewy body diseases: a meta-analysis.
Authors: Wang, Yashan (AUTHOR), Hu, Jiayi (AUTHOR), Chen, Xiaofei (AUTHOR), Wang, Song (AUTHOR), Zhang, Chenyang (AUTHOR), Hu, Junjun (AUTHOR), Guo, Dingjie (AUTHOR), Liu, Xin (AUTHOR)
Source: Neurological Sciences. Jul2022, Vol. 43 Issue 7, p4125-4132. 8p. 1 Diagram, 2 Charts, 3 Graphs.
Subjects: Receiver operating characteristic curves, Prion diseases, Alpha-synuclein, Lewy body dementia, Neurons, Meta-analysis, Sensitivity & specificity (Statistics), Biological assay
Abstract: Objective: Real-time quaking-induced conversion (RT-QuIC) is a novel in vitro acellular seed amplification analysis and has been widely used to detect prion diseases. Due to the similar mechanism of abnormal aggregation of α-synuclein, RT-QuIC has great potential for diagnosing Lewy body diseases. This meta-analysis was performed to evaluate the diagnostic accuracy of RT-QuIC for Lewy body diseases.Methods: This study followed the PRISMA statement. We searched six databases for relevant studies published until February 20, 2022. Meta-analysis was conducted using RevMan 5.3, Stata 17.0, and Meta-Disc 1.4. Subgroup analyses were performed to explore sources of heterogeneity.Results: A total of 16 studies were included in this study. The pooled sensitivity and specificity were 0.91 (95%CI: 0.85-0.94) and 0.95 (95%CI: 0.90-0.97), respectively. The pooled positive and negative likelihood ratios were 17.16 (95% CI: 9.16-32.14) and 0.10 (95% CI: 0.06-0.17), respectively. The pooled diagnostic odds rate and area under the summary receiver operating characteristic curve were 171.16 (95% CI: 66.64-439.62) and 0.97 (95% CI: 0.96-0.99), respectively.Conclusions: This study was the first meta-analysis on RT-QuIC for Lewy body diseases. RT-QuIC is a reliable and accurate method to diagnose Lewy body diseases. [ABSTRACT FROM AUTHOR]
Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Real-time quaking-induced conversion assay is accurate for Lewy body diseases: a meta-analysis.
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Yashan%22">Wang, Yashan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Jiayi%22">Hu, Jiayi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Xiaofei%22">Chen, Xiaofei</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Song%22">Wang, Song</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Chenyang%22">Zhang, Chenyang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Junjun%22">Hu, Junjun</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Dingjie%22">Guo, Dingjie</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Xin%22">Liu, Xin</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Neurological+Sciences%22">Neurological Sciences</searchLink>. Jul2022, Vol. 43 Issue 7, p4125-4132. 8p. 1 Diagram, 2 Charts, 3 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Receiver+operating+characteristic+curves%22">Receiver operating characteristic curves</searchLink><br /><searchLink fieldCode="DE" term="%22Prion+diseases%22">Prion diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Alpha-synuclein%22">Alpha-synuclein</searchLink><br /><searchLink fieldCode="DE" term="%22Lewy+body+dementia%22">Lewy body dementia</searchLink><br /><searchLink fieldCode="DE" term="%22Neurons%22">Neurons</searchLink><br /><searchLink fieldCode="DE" term="%22Meta-analysis%22">Meta-analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Sensitivity+%26+specificity+%28Statistics%29%22">Sensitivity & specificity (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+assay%22">Biological assay</searchLink>
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  Label: Abstract
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  Data: <bold>Objective: </bold>Real-time quaking-induced conversion (RT-QuIC) is a novel in vitro acellular seed amplification analysis and has been widely used to detect prion diseases. Due to the similar mechanism of abnormal aggregation of α-synuclein, RT-QuIC has great potential for diagnosing Lewy body diseases. This meta-analysis was performed to evaluate the diagnostic accuracy of RT-QuIC for Lewy body diseases.<bold>Methods: </bold>This study followed the PRISMA statement. We searched six databases for relevant studies published until February 20, 2022. Meta-analysis was conducted using RevMan 5.3, Stata 17.0, and Meta-Disc 1.4. Subgroup analyses were performed to explore sources of heterogeneity.<bold>Results: </bold>A total of 16 studies were included in this study. The pooled sensitivity and specificity were 0.91 (95%CI: 0.85-0.94) and 0.95 (95%CI: 0.90-0.97), respectively. The pooled positive and negative likelihood ratios were 17.16 (95% CI: 9.16-32.14) and 0.10 (95% CI: 0.06-0.17), respectively. The pooled diagnostic odds rate and area under the summary receiver operating characteristic curve were 171.16 (95% CI: 66.64-439.62) and 0.97 (95% CI: 0.96-0.99), respectively.<bold>Conclusions: </bold>This study was the first meta-analysis on RT-QuIC for Lewy body diseases. RT-QuIC is a reliable and accurate method to diagnose Lewy body diseases. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jul2022
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