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Technical Verification and Assessment of Independent Validation of Biomarker Models for Endometriosis
Joint Authors
Fassbender, Amelie
O, Dorien F.
Vanhie, A.
Van Bree, Rita
Laenen, Annouschka
Peterse, Daniëlle P.
Waelkens, Etienne
D’Hooghe, Thomas M.
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-25
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
There is a great need for a noninvasive diagnosis for endometriosis.
Several biomarkers and biomarker panels have been proposed.
Biomarker models consisting of CA-125, VEGF, Annexin V, and glycodelin/sICAM-1 were previously developed by our group.
The objective of our current study was to assess the impact of technical and biological variability on the performance of those previously developed prediction models in a technical verification and a validation setting.
The technical verification cohort consisted of peripheral blood plasma samples from a subset of the patients included in the original study of Vodolazkaia et al.
(99 women with and 37 women without endometriosis).
The validation study was done in plasma samples of an independent patient cohort (170 women with and 86 women without endometriosis).
Single immunoassays were used for CA-125, VEGF-A, sICAM-1, Annexin V, and glycodelin.
Statistical analyses were done using univariate and multivariate (logistic regression) approaches.
The previously reported prediction models for endometriosis had a low performance in both the technical verification and validation setting.
New prediction models were developed, which included CA-125, Annexin V, and sICAM-1, but CA-125 was the only marker that was retained in the models across the technical verification and validation study.
Overall, successful validation of a biomarker model depends on several factors such as patient selection, collection methods, assay selection/handling, stability of the marker, and statistical analysis and interpretation.
There is a need for standardized studies in large, well-defined patient cohorts with robust assay methodologies.
American Psychological Association (APA)
O, Dorien F.& Fassbender, Amelie& Van Bree, Rita& Laenen, Annouschka& Peterse, Daniëlle P.& Vanhie, A.…[et al.]. 2019. Technical Verification and Assessment of Independent Validation of Biomarker Models for Endometriosis. BioMed Research International،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1124748
Modern Language Association (MLA)
O, Dorien F.…[et al.]. Technical Verification and Assessment of Independent Validation of Biomarker Models for Endometriosis. BioMed Research International No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1124748
American Medical Association (AMA)
O, Dorien F.& Fassbender, Amelie& Van Bree, Rita& Laenen, Annouschka& Peterse, Daniëlle P.& Vanhie, A.…[et al.]. Technical Verification and Assessment of Independent Validation of Biomarker Models for Endometriosis. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1124748
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1124748