Comparative analysis of glucose and carcinoembryonic antigen in the diagnosis of pancreatic mucinous cysts: a systematic review and meta-analysis - 13/07/21
Abstract |
Background and aims |
Pancreatic cystic fluid (PCF) analysis is useful to distinguish between different cyst types and to guide management. The aim of our study was to compare the diagnostic accuracy of glucose level with carcinoembryonic antigen (CEA) in PCF for mucinous cyst diagnosis.
Methods |
We identified studies with PCF obtained by EUS before surgery, with cysts classified as mucinous and nonmucinous according to surgical specimens. A random-effects model was used for quantitative meta-analysis. Pooled sensitivities, specificities, and summary receiver operating characteristic (ROC) curve analysis were conducted.
Results |
For CEA, we included 31 studies with 5268 patients, of which 2083 were referred for surgery. For glucose, we included 4 studies with 345 patients, of which 275 were referred for surgery. Glucose performed better than CEA for mucinous cysts diagnosis (premalignant and malignant) with sensitivities of .90 (95% confidence interval [CI], .85-.94) and .67 (95% CI, .65-.70), specificities of .82 (95% CI, .72-.89) and .80 (95% CI, 0.76-0.83), and areas under the ROC curve of .96 and .79, respectively. Glucose had a higher sensitivity (90%), with uncommon false-negative results, making it an excellent biomarker to exclude a mucinous cyst. Sensitivity analysis demonstrated that the findings of the current meta-analysis are robust.
Conclusion |
Glucose level in PCF is more accurate than CEA for preoperative diagnosis of mucinous cysts. It may become a useful first-line test, particularly in small cysts with a limited volume of PCF. Larger studies are awaited to confirm glucose as the single test for mucinous cyst diagnosis.
Le texte complet de cet article est disponible en PDF.Abbreviations : AUC, CEA, CI, PCF, PCL, ROC
Plan
| DISCLOSURE: All authors disclosed no financial relationships. Research support for this study was (Luisa Pereira) provided by “Operação Centro-01-0145-FEDER-000019-C4-Centro de Competências em Cloud Computing,” co-financed by the CENTRO 2020 (C4 WP3.1—Data mining for systematic reviews and Meta-Analyses in Health Sciences). |
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| See CME section, p. 423. |
Vol 94 - N° 2
P. 235-247 - août 2021 Retour au numéroBienvenue sur EM-consulte, la référence des professionnels de santé.
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