Cargando…

Diagnostic Accuracy of Elastography and Liver Disease: A Meta-Analysis

BACKGROUND: Ultrasound-based transient elastography (TE) is a non-invasive alternative to liver biopsy for the staging of hepatic fibrosis due to various chronic liver diseases. This meta-analysis aims to assess the diagnostic accuracy of TE for detecting liver cirrhosis (F4) and severe fibrosis (F3...

Descripción completa

Detalles Bibliográficos
Autores principales: Malik, Preeti, Pillai, Shreejith, Agarwal, Kriti, Abdelwahed, Salwa, Bhandari, Renu, Singh, Abhishek, Chidharla, Anusha, Patel, Kajal, Singh, Priyanka, Manaktala, Pritika, Rabbani, Rizwan, Koritala, Thoyaja, Gupta, Sachin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elmer Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635782/
https://www.ncbi.nlm.nih.gov/pubmed/36407808
http://dx.doi.org/10.14740/gr1557
_version_ 1784824785522393088
author Malik, Preeti
Pillai, Shreejith
Agarwal, Kriti
Abdelwahed, Salwa
Bhandari, Renu
Singh, Abhishek
Chidharla, Anusha
Patel, Kajal
Singh, Priyanka
Manaktala, Pritika
Rabbani, Rizwan
Koritala, Thoyaja
Gupta, Sachin
author_facet Malik, Preeti
Pillai, Shreejith
Agarwal, Kriti
Abdelwahed, Salwa
Bhandari, Renu
Singh, Abhishek
Chidharla, Anusha
Patel, Kajal
Singh, Priyanka
Manaktala, Pritika
Rabbani, Rizwan
Koritala, Thoyaja
Gupta, Sachin
author_sort Malik, Preeti
collection PubMed
description BACKGROUND: Ultrasound-based transient elastography (TE) is a non-invasive alternative to liver biopsy for the staging of hepatic fibrosis due to various chronic liver diseases. This meta-analysis aims to assess the diagnostic accuracy of TE for detecting liver cirrhosis (F4) and severe fibrosis (F3) in patients with chronic liver diseases, in comparison to the gold standard liver biopsy. METHODS: A systematic search was performed using PubMed search engine following Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines from inception to May 2021. The meta-analysis studies evaluating the diagnostic accuracy of TE for severe fibrosis and cirrhosis were identified. We conducted a meta-meta-analysis to generate pooled estimates of the sensitivity, specificity, and diagnostic odds ratios (ORs) for F3 and F4 fibrosis stage. RESULTS: We included five studies with a total of 124 sub-studies and 20,341 patients in our analysis. Three studies have reported the diagnostic accuracy of TE in detecting F3/severe fibrosis stage and found 81.9% pooled sensitivity (95% confidence interval (CI): 79.9-83.7%; P < 0.001) (I(2) = 0%), 84.7% pooled specificity (95% CI: 81.3-87.6%) (I(2) = 81%; P = 0.02). All five studies reported the diagnostic accuracy of TE in detecting F4/liver cirrhosis stage. We found 84.8% pooled sensitivity (95% CI: 81.4-87.7%) (I(2) = 86.4%; P < 0.001), 87.5% pooled specificity (95% CI: 85.4-89.3%) (I(2) = 90%; P < 0.001) and pooled diagnostic OR (41.8; 95% CI: 3.9 - 56.5) (I(2) = 87%; P < 0.001). CONCLUSIONS: Ultrasound-based TE has excellent diagnostic accuracy for identifying cirrhosis and liver fibrosis stages 3. Future studies should focus on estimating the diagnostic accuracy of other fibrosis stages in chronic liver disease patients. This will eventually decrease the risk associated with invasive liver biopsy.
format Online
Article
Text
id pubmed-9635782
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elmer Press
record_format MEDLINE/PubMed
spelling pubmed-96357822022-11-17 Diagnostic Accuracy of Elastography and Liver Disease: A Meta-Analysis Malik, Preeti Pillai, Shreejith Agarwal, Kriti Abdelwahed, Salwa Bhandari, Renu Singh, Abhishek Chidharla, Anusha Patel, Kajal Singh, Priyanka Manaktala, Pritika Rabbani, Rizwan Koritala, Thoyaja Gupta, Sachin Gastroenterology Res Original Article BACKGROUND: Ultrasound-based transient elastography (TE) is a non-invasive alternative to liver biopsy for the staging of hepatic fibrosis due to various chronic liver diseases. This meta-analysis aims to assess the diagnostic accuracy of TE for detecting liver cirrhosis (F4) and severe fibrosis (F3) in patients with chronic liver diseases, in comparison to the gold standard liver biopsy. METHODS: A systematic search was performed using PubMed search engine following Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines from inception to May 2021. The meta-analysis studies evaluating the diagnostic accuracy of TE for severe fibrosis and cirrhosis were identified. We conducted a meta-meta-analysis to generate pooled estimates of the sensitivity, specificity, and diagnostic odds ratios (ORs) for F3 and F4 fibrosis stage. RESULTS: We included five studies with a total of 124 sub-studies and 20,341 patients in our analysis. Three studies have reported the diagnostic accuracy of TE in detecting F3/severe fibrosis stage and found 81.9% pooled sensitivity (95% confidence interval (CI): 79.9-83.7%; P < 0.001) (I(2) = 0%), 84.7% pooled specificity (95% CI: 81.3-87.6%) (I(2) = 81%; P = 0.02). All five studies reported the diagnostic accuracy of TE in detecting F4/liver cirrhosis stage. We found 84.8% pooled sensitivity (95% CI: 81.4-87.7%) (I(2) = 86.4%; P < 0.001), 87.5% pooled specificity (95% CI: 85.4-89.3%) (I(2) = 90%; P < 0.001) and pooled diagnostic OR (41.8; 95% CI: 3.9 - 56.5) (I(2) = 87%; P < 0.001). CONCLUSIONS: Ultrasound-based TE has excellent diagnostic accuracy for identifying cirrhosis and liver fibrosis stages 3. Future studies should focus on estimating the diagnostic accuracy of other fibrosis stages in chronic liver disease patients. This will eventually decrease the risk associated with invasive liver biopsy. Elmer Press 2022-10 2022-10-19 /pmc/articles/PMC9635782/ /pubmed/36407808 http://dx.doi.org/10.14740/gr1557 Text en Copyright 2022, Malik et al. https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution Non-Commercial 4.0 International License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Malik, Preeti
Pillai, Shreejith
Agarwal, Kriti
Abdelwahed, Salwa
Bhandari, Renu
Singh, Abhishek
Chidharla, Anusha
Patel, Kajal
Singh, Priyanka
Manaktala, Pritika
Rabbani, Rizwan
Koritala, Thoyaja
Gupta, Sachin
Diagnostic Accuracy of Elastography and Liver Disease: A Meta-Analysis
title Diagnostic Accuracy of Elastography and Liver Disease: A Meta-Analysis
title_full Diagnostic Accuracy of Elastography and Liver Disease: A Meta-Analysis
title_fullStr Diagnostic Accuracy of Elastography and Liver Disease: A Meta-Analysis
title_full_unstemmed Diagnostic Accuracy of Elastography and Liver Disease: A Meta-Analysis
title_short Diagnostic Accuracy of Elastography and Liver Disease: A Meta-Analysis
title_sort diagnostic accuracy of elastography and liver disease: a meta-analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635782/
https://www.ncbi.nlm.nih.gov/pubmed/36407808
http://dx.doi.org/10.14740/gr1557
work_keys_str_mv AT malikpreeti diagnosticaccuracyofelastographyandliverdiseaseametaanalysis
AT pillaishreejith diagnosticaccuracyofelastographyandliverdiseaseametaanalysis
AT agarwalkriti diagnosticaccuracyofelastographyandliverdiseaseametaanalysis
AT abdelwahedsalwa diagnosticaccuracyofelastographyandliverdiseaseametaanalysis
AT bhandarirenu diagnosticaccuracyofelastographyandliverdiseaseametaanalysis
AT singhabhishek diagnosticaccuracyofelastographyandliverdiseaseametaanalysis
AT chidharlaanusha diagnosticaccuracyofelastographyandliverdiseaseametaanalysis
AT patelkajal diagnosticaccuracyofelastographyandliverdiseaseametaanalysis
AT singhpriyanka diagnosticaccuracyofelastographyandliverdiseaseametaanalysis
AT manaktalapritika diagnosticaccuracyofelastographyandliverdiseaseametaanalysis
AT rabbanirizwan diagnosticaccuracyofelastographyandliverdiseaseametaanalysis
AT koritalathoyaja diagnosticaccuracyofelastographyandliverdiseaseametaanalysis
AT guptasachin diagnosticaccuracyofelastographyandliverdiseaseametaanalysis