{"title":"The diagnostic value of CYFRA 21-1 in oral squamous cell carcinoma: a meta-analysis.","authors":"Yuting Liang, Zhenke Yi, Jiajin Li, Jufeng Ye","doi":"10.1080/14737140.2024.2405225","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Previous studies have revealed the importance of CYFRA 21-1 in the diagnosis of oral squamous cell cancer (OSCC). However, the results are inconsistent. This meta-analysis is to evaluate CYFRA 21-1's efficacy in distinguishing OSCC.</p><p><strong>Methods: </strong>Systematic searches of Web of Science, PubMed, and CNKI (1996-2024) were conducted following the Preferred Reporting ltems for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.</p><p><strong>Results: </strong>Analysis of 693 patients and 548 controls yielded combined sensitivity (SEN) of 0.71 (95% CI: 0.68, 0.75), specificity (SPE) of 0.88 (95% CI: 0.85, 0.90), and area under the curve (AUC) of 0.927. Subgroup analysis showed higher SEN (0.88), SPE (0.93), and AUC (0.962) in saliva versus serum. Enzyme-linked immunosorbent assay (ELISA) demonstrated superior performance over electrochemiluminescent immunoassay (ECLIA) (AUC: 0.968 vs. 0.868).</p><p><strong>Conclusion: </strong>CYFRA 21-1 is effective in OSCC diagnosis, with ELISA showing better sensitivity. Saliva emerges as a promising diagnostic medium compared to serum.</p><p><strong>Registration: </strong>PROSPERO CRD42024566835.</p>","PeriodicalId":12099,"journal":{"name":"Expert Review of Anticancer Therapy","volume":" ","pages":"1161-1168"},"PeriodicalIF":2.9000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Review of Anticancer Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/14737140.2024.2405225","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/23 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Previous studies have revealed the importance of CYFRA 21-1 in the diagnosis of oral squamous cell cancer (OSCC). However, the results are inconsistent. This meta-analysis is to evaluate CYFRA 21-1's efficacy in distinguishing OSCC.
Methods: Systematic searches of Web of Science, PubMed, and CNKI (1996-2024) were conducted following the Preferred Reporting ltems for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
Results: Analysis of 693 patients and 548 controls yielded combined sensitivity (SEN) of 0.71 (95% CI: 0.68, 0.75), specificity (SPE) of 0.88 (95% CI: 0.85, 0.90), and area under the curve (AUC) of 0.927. Subgroup analysis showed higher SEN (0.88), SPE (0.93), and AUC (0.962) in saliva versus serum. Enzyme-linked immunosorbent assay (ELISA) demonstrated superior performance over electrochemiluminescent immunoassay (ECLIA) (AUC: 0.968 vs. 0.868).
Conclusion: CYFRA 21-1 is effective in OSCC diagnosis, with ELISA showing better sensitivity. Saliva emerges as a promising diagnostic medium compared to serum.
期刊介绍:
Expert Review of Anticancer Therapy (ISSN 1473-7140) provides expert appraisal and commentary on the major trends in cancer care and highlights the performance of new therapeutic and diagnostic approaches.
Coverage includes tumor management, novel medicines, anticancer agents and chemotherapy, biological therapy, cancer vaccines, therapeutic indications, biomarkers and diagnostics, and treatment guidelines. All articles are subject to rigorous peer-review, and the journal makes an essential contribution to decision-making in cancer care.
Comprehensive coverage in each review is complemented by the unique Expert Review format and includes the following sections:
Expert Opinion - a personal view of the data presented in the article, a discussion on the developments that are likely to be important in the future, and the avenues of research likely to become exciting as further studies yield more detailed results
Article Highlights – an executive summary of the author’s most critical points.