Predictive Performance of Placental Protein 13 for Screening Preeclampsia in the First Trimester: A Systematic Review and Meta-Analysis

Preeclampsia is a pregnancy-specific syndrome that affects maternal and neonatal mortality. Several serum biomarkers can be used to predict preeclampsia. Among these proteins, placental protein 13 (PP13) has received progressively more interest in recent studies. The decrease in PP13 expression is o...

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Main Authors: Yifan Wu, Yang Liu, Yiling Ding
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Medicine
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.756383/full
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author Yifan Wu
Yifan Wu
Yang Liu
Yiling Ding
author_facet Yifan Wu
Yifan Wu
Yang Liu
Yiling Ding
author_sort Yifan Wu
collection DOAJ
description Preeclampsia is a pregnancy-specific syndrome that affects maternal and neonatal mortality. Several serum biomarkers can be used to predict preeclampsia. Among these proteins, placental protein 13 (PP13) has received progressively more interest in recent studies. The decrease in PP13 expression is one of the earliest signs for the development of preeclampsia and has shown its predictive performance for preeclampsia. In this meta-analysis, we collected 17 observational studies with 40,474 pregnant women. The overall sensitivity of PP13 to predict preeclampsia was 0.62 [95% confidence interval (CI) = 0.49–0.74], the specificity was 0.84 (95%CI = 0.81–0.86), and the diagnostic odds ratio was nine (95%CI = 5–15). The area under the curve for summary receiver operating characteristic was 0.84. We then chose the early-onset preeclampsia as a subgroup. The sensitivity of early-onset subgroup was 0.63 (95%CI = 0.58–0.76), the specificity was 0.85 (95%CI = 0.82–0.88), and the diagnostic odds ratio was 10 (95%CI = 6–18). The findings of our meta-analysis indicate that PP13 may be an effective serum biomarker for the predictive screening of preeclampsia. Nonetheless, large prospective cohort studies and randomized controlled trials are expected to uncover its application in clinical practice. The heterogeneity of the original trials may limit the clinical application of PP13.Systematic Review Registration:https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=188948 The meta-analysis was registered in PROSPERO (CRD42020188948).
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spelling doaj.art-227c007e58ae4be4ae663a989c4c217c2022-12-21T19:23:47ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2021-11-01810.3389/fmed.2021.756383756383Predictive Performance of Placental Protein 13 for Screening Preeclampsia in the First Trimester: A Systematic Review and Meta-AnalysisYifan Wu0Yifan Wu1Yang Liu2Yiling Ding3Department of Obstetrics, The Second Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Obstetrics, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Obstetrics, The Second Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Obstetrics, The Second Xiangya Hospital, Central South University, Changsha, ChinaPreeclampsia is a pregnancy-specific syndrome that affects maternal and neonatal mortality. Several serum biomarkers can be used to predict preeclampsia. Among these proteins, placental protein 13 (PP13) has received progressively more interest in recent studies. The decrease in PP13 expression is one of the earliest signs for the development of preeclampsia and has shown its predictive performance for preeclampsia. In this meta-analysis, we collected 17 observational studies with 40,474 pregnant women. The overall sensitivity of PP13 to predict preeclampsia was 0.62 [95% confidence interval (CI) = 0.49–0.74], the specificity was 0.84 (95%CI = 0.81–0.86), and the diagnostic odds ratio was nine (95%CI = 5–15). The area under the curve for summary receiver operating characteristic was 0.84. We then chose the early-onset preeclampsia as a subgroup. The sensitivity of early-onset subgroup was 0.63 (95%CI = 0.58–0.76), the specificity was 0.85 (95%CI = 0.82–0.88), and the diagnostic odds ratio was 10 (95%CI = 6–18). The findings of our meta-analysis indicate that PP13 may be an effective serum biomarker for the predictive screening of preeclampsia. Nonetheless, large prospective cohort studies and randomized controlled trials are expected to uncover its application in clinical practice. The heterogeneity of the original trials may limit the clinical application of PP13.Systematic Review Registration:https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=188948 The meta-analysis was registered in PROSPERO (CRD42020188948).https://www.frontiersin.org/articles/10.3389/fmed.2021.756383/fullmeta-analysisPP13preeclampsiascreening biomarkerearly-onset preeclampsia
spellingShingle Yifan Wu
Yifan Wu
Yang Liu
Yiling Ding
Predictive Performance of Placental Protein 13 for Screening Preeclampsia in the First Trimester: A Systematic Review and Meta-Analysis
Frontiers in Medicine
meta-analysis
PP13
preeclampsia
screening biomarker
early-onset preeclampsia
title Predictive Performance of Placental Protein 13 for Screening Preeclampsia in the First Trimester: A Systematic Review and Meta-Analysis
title_full Predictive Performance of Placental Protein 13 for Screening Preeclampsia in the First Trimester: A Systematic Review and Meta-Analysis
title_fullStr Predictive Performance of Placental Protein 13 for Screening Preeclampsia in the First Trimester: A Systematic Review and Meta-Analysis
title_full_unstemmed Predictive Performance of Placental Protein 13 for Screening Preeclampsia in the First Trimester: A Systematic Review and Meta-Analysis
title_short Predictive Performance of Placental Protein 13 for Screening Preeclampsia in the First Trimester: A Systematic Review and Meta-Analysis
title_sort predictive performance of placental protein 13 for screening preeclampsia in the first trimester a systematic review and meta analysis
topic meta-analysis
PP13
preeclampsia
screening biomarker
early-onset preeclampsia
url https://www.frontiersin.org/articles/10.3389/fmed.2021.756383/full
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