Matches in SemOpenAlex for { <https://semopenalex.org/work/W2954562579> ?p ?o ?g. }
- W2954562579 endingPage "18945" @default.
- W2954562579 startingPage "18937" @default.
- W2954562579 abstract "Abstract Objectives Current methods for diagnosing lung cancer (LC) have varying degrees of risks and complications. MicroRNA (miRNA) is a small molecule noncoding RNA with gene regulation functions. Many studies have shown that miRNA can be used for the diagnosis of LC, but there are differences in diagnostic accuracy. Therefore, we aim to systematically review and meta‐analyze published articles to comprehensively evaluate the diagnostic value of miRNA for LC. Materials and methods We searched the PubMed, Embase, and Cochrane databases, and calculated the area under the curve (AUC) by plotting the summary receiver operator characteristic curve using the sensitivity and specificity of each included study. The AUC was calculated and the likelihood ratio was plotted to assess the diagnostic accuracy of miRNA. We used QUADAS‐2 in Review Manager 5.3 to evaluate the quality of all the articles. The other analyses were performed using the STATA 12.0 software. Results We included a total of 29 articles, 98 studies, and the qualities of all the articles were satisfactory. The overall pooled parameters calculated from all studies were as follows: sensitivity = 0.77, specificity = 0.83, positive likelihood ratio (PLR) = 4.6, negative likelihood ratio (NLR) = 0.28, and AUC = 0.87 for miRNA diagnosis. It had significant advantages over other biomarkers. Subgroup analysis showed that when combined four or more miRNA for the diagnosis of LC, the parameters were as follows: sensitivity = 0.90, specificity = 0.93, PLR = 13.2, NLR = 0.11, and AUC = 0.97. Conclusion Four or more miRNA combination could be used for the diagnosis of LC. Besides this, we also found that miRNA showed a greater advantage in distinguishing LC from benign lung diseases than distinguishing between LC and normal people. Our findings provided a new way of thinking about the clinical diagnosis of LC from a nonmorphological aspect." @default.
- W2954562579 created "2019-07-12" @default.
- W2954562579 creator A5002237217 @default.
- W2954562579 creator A5020095522 @default.
- W2954562579 creator A5049553879 @default.
- W2954562579 date "2019-06-25" @default.
- W2954562579 modified "2023-10-16" @default.
- W2954562579 title "Could microRNA be used as a diagnostic tool for lung cancer?" @default.
- W2954562579 cites W130099911 @default.
- W2954562579 cites W1868228849 @default.
- W2954562579 cites W1984386869 @default.
- W2954562579 cites W1996745846 @default.
- W2954562579 cites W2009365842 @default.
- W2954562579 cites W2020488794 @default.
- W2954562579 cites W2020970160 @default.
- W2954562579 cites W2048552158 @default.
- W2954562579 cites W2074311819 @default.
- W2954562579 cites W2078771095 @default.
- W2954562579 cites W2080384607 @default.
- W2954562579 cites W2124909993 @default.
- W2954562579 cites W2130813048 @default.
- W2954562579 cites W2134453734 @default.
- W2954562579 cites W2144373793 @default.
- W2954562579 cites W2145380342 @default.
- W2954562579 cites W2159864284 @default.
- W2954562579 cites W2169357958 @default.
- W2954562579 cites W2253848669 @default.
- W2954562579 cites W2263794508 @default.
- W2954562579 cites W2266629023 @default.
- W2954562579 cites W2297980830 @default.
- W2954562579 cites W2325397424 @default.
- W2954562579 cites W2350443416 @default.
- W2954562579 cites W2474216046 @default.
- W2954562579 cites W2504598895 @default.
- W2954562579 cites W2534725047 @default.
- W2954562579 cites W2555193453 @default.
- W2954562579 cites W2555363519 @default.
- W2954562579 cites W2563155404 @default.
- W2954562579 cites W2572916237 @default.
- W2954562579 cites W2588397024 @default.
- W2954562579 cites W2774305061 @default.
- W2954562579 cites W2804986444 @default.
- W2954562579 cites W2889646458 @default.
- W2954562579 cites W2901690888 @default.
- W2954562579 doi "https://doi.org/10.1002/jcb.29214" @default.
- W2954562579 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31237019" @default.
- W2954562579 hasPublicationYear "2019" @default.
- W2954562579 type Work @default.
- W2954562579 sameAs 2954562579 @default.
- W2954562579 citedByCount "4" @default.
- W2954562579 countsByYear W29545625792021 @default.
- W2954562579 countsByYear W29545625792023 @default.
- W2954562579 crossrefType "journal-article" @default.
- W2954562579 hasAuthorship W2954562579A5002237217 @default.
- W2954562579 hasAuthorship W2954562579A5020095522 @default.
- W2954562579 hasAuthorship W2954562579A5049553879 @default.
- W2954562579 hasConcept C104317684 @default.
- W2954562579 hasConcept C112705442 @default.
- W2954562579 hasConcept C126322002 @default.
- W2954562579 hasConcept C127413603 @default.
- W2954562579 hasConcept C143998085 @default.
- W2954562579 hasConcept C144494922 @default.
- W2954562579 hasConcept C145059251 @default.
- W2954562579 hasConcept C21200559 @default.
- W2954562579 hasConcept C24326235 @default.
- W2954562579 hasConcept C2776256026 @default.
- W2954562579 hasConcept C2776478404 @default.
- W2954562579 hasConcept C3020132585 @default.
- W2954562579 hasConcept C3020225094 @default.
- W2954562579 hasConcept C54355233 @default.
- W2954562579 hasConcept C58471807 @default.
- W2954562579 hasConcept C71924100 @default.
- W2954562579 hasConcept C76318530 @default.
- W2954562579 hasConcept C86803240 @default.
- W2954562579 hasConcept C95190672 @default.
- W2954562579 hasConceptScore W2954562579C104317684 @default.
- W2954562579 hasConceptScore W2954562579C112705442 @default.
- W2954562579 hasConceptScore W2954562579C126322002 @default.
- W2954562579 hasConceptScore W2954562579C127413603 @default.
- W2954562579 hasConceptScore W2954562579C143998085 @default.
- W2954562579 hasConceptScore W2954562579C144494922 @default.
- W2954562579 hasConceptScore W2954562579C145059251 @default.
- W2954562579 hasConceptScore W2954562579C21200559 @default.
- W2954562579 hasConceptScore W2954562579C24326235 @default.
- W2954562579 hasConceptScore W2954562579C2776256026 @default.
- W2954562579 hasConceptScore W2954562579C2776478404 @default.
- W2954562579 hasConceptScore W2954562579C3020132585 @default.
- W2954562579 hasConceptScore W2954562579C3020225094 @default.
- W2954562579 hasConceptScore W2954562579C54355233 @default.
- W2954562579 hasConceptScore W2954562579C58471807 @default.
- W2954562579 hasConceptScore W2954562579C71924100 @default.
- W2954562579 hasConceptScore W2954562579C76318530 @default.
- W2954562579 hasConceptScore W2954562579C86803240 @default.
- W2954562579 hasConceptScore W2954562579C95190672 @default.
- W2954562579 hasIssue "11" @default.
- W2954562579 hasLocation W29545625791 @default.
- W2954562579 hasLocation W29545625792 @default.
- W2954562579 hasOpenAccess W2954562579 @default.