Diagnostic accuracy of endoscopic ultrasound in pancreatic neuroendocrine tumors: a systematic review and meta analysis
| Autor: | Fritz H. Volmar, Sonu Dillon, Micheal Cashman, Srinivas R. Puli, Norman C. Estes, David G. Forcione, Richard H. Pearl, Nikhil Kalva, Smitha R. Pamulaparthy, Michael F. Shekleton, Matthew L. Bechtold |
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| Rok vydání: | 2013 |
| Předmět: |
Endoscopic ultrasound
medicine.medical_specialty Likelihood ratios in diagnostic testing Endosonography Predictive Value of Tests Pancreatic mass medicine Odds Ratio Humans Chi-Square Distribution medicine.diagnostic_test business.industry Gastroenterology General Medicine Publication bias Odds ratio medicine.disease Prognosis digestive system diseases Surgery Pancreatic Neoplasms Neuroendocrine Tumors Systematic review Meta-analysis Diagnostic odds ratio Radiology business Meta-Analysis |
| Zdroj: | World journal of gastroenterology. 19(23) |
| ISSN: | 2219-2840 |
| Popis: | AIM: To detect pancreatic neuroendocrine tumors (PNETs) has been varied. This study is undertaken to evaluate the accuracy of endoscopic ultrasound (EUS) in detecting PNETs. METHODS: Only EUS studies confirmed by surgery or appropriate follow-up were selected. Articles were searched in Medline, Ovid journals, Medline nonindexed citations, and Cochrane Central Register of Controlled Trials and Database of Systematic Reviews. Pooling was conducted by both fixed and random effects model). RESULTS: Initial search identified 2610 reference articles, of these 140 relevant articles were selected and reviewed. Data was extracted from 13 studies (n = 456) which met the inclusion criteria. Pooled sensitivity of EUS in detecting a PNETs was 87.2% (95%CI: 82.2-91.2). EUS had a pooled specificity of 98.0% (95%CI: 94.3-99.6). The positive likelihood ratio of EUS was 11.1 (95%CI: 5.34-22.8) and negative likelihood ratio was 0.17 (95%CI: 0.13-0.24). The diagnostic odds ratio, the odds of having anatomic PNETs in positive as compared to negative EUS studies was 94.7 (95%CI: 37.9-236.1). Begg-Mazumdar bias indicator for publication bias gave a Kendall’s tau value of 0.31 (P = 0.16), indication no publication bias. The P for χ2 heterogeneity for all the pooled accuracy estimates was > 0.10. CONCLUSION: EUS has excellent sensitivity and specificity to detect PNETs. EUS should be strongly considered for evaluation of PNETs. |
| Databáze: | OpenAIRE |
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