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11.10.2019 | Review | Ausgabe 5/2019

Archives of Gynecology and Obstetrics 5/2019

Circulating non-coding RNAs as non-invasive diagnostic markers of endometriosis: a comprehensive meta-analysis

Zeitschrift:
Archives of Gynecology and Obstetrics > Ausgabe 5/2019
Autoren:
Yanhui Li, Qionghua Chen
Wichtige Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1007/​s00404-019-05290-x) contains supplementary material, which is available to authorized users.

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Abstract

Background

Circulating non-coding RNAs have great potential for diagnosing endometriosis as non-invasive markers. We have assessed the potential accuracy and utility for diagnosis of endometriosis.

Methods

We searched many bases to identify the included literature, which included English bases, such as, Pubmed, Embase, Web of Science, Cochrane library and Chinese bases, for instance, CNKI, Wang Fang, VIP, DuXiu, ChaoXing. We also calculated the general sensitivity and specificity, negative likelihood ratio, positive likelihood ratio, diagnostic odds ratio, ROC curve plotting and so on with Stata 15. I2 could test the heterogeneity of the meta-analysis, the funnel plot valuated whether meta-analysis had a publication bias. Regression analysis could explore heterogeneity in studies.

Result

Comprehensive reading and integrating extracted data, we included 11 published papers. The total number of people included in the case group was 453, and the control group was 362. We, respectively, calculated the general sensitivity and general specificity which were 0.81 (95% CI 0.76–0.85) and 0.77 (95% CI 0.71–0.82) by bivariate analysis. The area under the ROC curve was 0.86 (95% CI 0.83–0.89). There was significant heterogeneity in studies which is I2 = 89.62% (95% CI 87.41%–91.83%). In addition, the results of meta-regression and subgroup analysis showed that the heterogeneity might come from gold standard, evaluation standard, experimental group size, experimental sample and race

Conclusion

The circulating non-coding RNAs have great ability of diagnosing endometriosis as non-invasive markers which were performed robustly and accurately.

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