Literature DB >> 29673658

First trimesters Pregnancy-Associated Plasma Protein-A levels value to Predict Gestational diabetes Mellitus: A systematic review and meta-analysis of the literature.

Zahra Hadizadeh Talasaz1, Ramin Sadeghi2, Fariba Askari1, Salmeh Dadgar3, Atiyeh Vatanchi4.   

Abstract

Detecting pregnant women at risk of diabetes in first months can help them by early intervention for delaying or preventing onset of GDM. In this study, we aimed to assess the Predictive value of first trimester Pregnancy related plasma protein-A (PAPP-A) levels for detecting Gestational diabetes Mellitus (GDM). This systematic review and meta-analysis was conducted through probing in databases. PubMed, Scopus, Medline and Google scholar citations were searched to find the published papers from 1974 to 2017. Studies were considered eligible if they were cohorts, case-control studies, reported GDM result, not other types, conducted on singleton pregnancy, measured Serum pregnancy associated plasma protein A in the first trimester and evaluated the relation of first trimester pregnancy associated plasma protein-A and GDM. Two reviewers independently assessed the quality with Newcastle-Ottawa and extracted data in the Pre-defined checklist. Analysis of the data was carried out by "Comprehensive Meta-analysis Version 2 (CAM)" and Metadisc software. 17 articles have our inclusion criteria and were considered in our systematic review, 5 studies included in Meta-analysis. Meta-analysis of these articles showed that the predictive value of PAPP-A for GDM has 55% sensitivity (53-58), 90% (89-90) specificity, LR + 2.48 (0.83-7.36) and LR - 0.70 (0.45-1.09) with 95% confidence intervals. In our study PAPP-A has low predictive accuracy overall, but it may be useful when combined with other tests, and this is an active part for future research. One limitation of our study is significant heterogeneity because of different adjusted variables and varied diagnostic criteria.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  First trimesters; Gestational diabetes Mellitus; Pregnancy-Associated Plasma Protein-A; Systematic review

Mesh:

Substances:

Year:  2018        PMID: 29673658     DOI: 10.1016/j.tjog.2018.02.003

Source DB:  PubMed          Journal:  Taiwan J Obstet Gynecol        ISSN: 1028-4559            Impact factor:   1.705


  5 in total

1.  Early pregnancy prediction of gestational diabetes mellitus risk using prenatal screening biomarkers in nulliparous women.

Authors:  Brittney M Snyder; Rebecca J Baer; Scott P Oltman; Jennifer G Robinson; Patrick J Breheny; Audrey F Saftlas; Wei Bao; Andrea L Greiner; Knute D Carter; Larry Rand; Laura L Jelliffe-Pawlowski; Kelli K Ryckman
Journal:  Diabetes Res Clin Pract       Date:  2020-04-06       Impact factor: 5.602

Review 2.  Predictive value of pregnancy-associated plasma protein-A in relation to fetal loss: A systematic review and meta-analysis.

Authors:  Zahra Hadizadeh-Talasaz; Ali Taghipour; Seyede Houra Mousavi-Vahed; Robab Latifnejad Roudsari
Journal:  Int J Reprod Biomed       Date:  2020-06-30

3.  Study on the correlation and predictive value of serum pregnancy-associated plasma protein A, triglyceride and serum 25-hydroxyvitamin D levels with gestational diabetes mellitus.

Authors:  Zhuo Ren; Dong Zhe; Zhi Li; Xin-Ping Sun; Kai Yang; Li Lin
Journal:  World J Clin Cases       Date:  2020-03-06       Impact factor: 1.337

4.  First Trimester Combined Test (FTCT) as a Predictor of Gestational Diabetes Mellitus.

Authors:  Federica Visconti; Paola Quaresima; Eusebio Chiefari; Patrizia Caroleo; Biagio Arcidiacono; Luigi Puccio; Maria Mirabelli; Daniela P Foti; Costantino Di Carlo; Raffaella Vero; Antonio Brunetti
Journal:  Int J Environ Res Public Health       Date:  2019-09-28       Impact factor: 3.390

5.  First trimester secreted Frizzled-Related Protein 4 and other adipokine serum concentrations in women developing gestational diabetes mellitus.

Authors:  Joost H N Schuitemaker; Rik H J Beernink; Arie Franx; Thomas I F H Cremers; Maria P H Koster
Journal:  PLoS One       Date:  2020-11-18       Impact factor: 3.240

  5 in total

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