Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2020Quantitative fetal fibronectin for prediction of preterm birth in asymptomatic twin pregnancy16citations

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Shennan, Andrew
1 / 2 shared
Seed, Paul T.
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Hezelgrave-Elliott, Natasha
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Tribe, Rachel
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Kuhrt, Katy
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2020

Co-Authors (by relevance)

  • Shennan, Andrew
  • Seed, Paul T.
  • Hezelgrave-Elliott, Natasha
  • Tribe, Rachel
  • Kuhrt, Katy
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article

Quantitative fetal fibronectin for prediction of preterm birth in asymptomatic twin pregnancy

  • Shennan, Andrew
  • Seed, Paul T.
  • Stock, Sarah J.
  • Hezelgrave-Elliott, Natasha
  • Tribe, Rachel
  • Kuhrt, Katy
Abstract

<p>Introduction: To evaluate cervicovaginal fluid quantitative fetal fibronectin, measured by a bedside analyzer, to predict spontaneous preterm birth in twin pregnancy before 30 weeks of gestation. Material and methods: In a prospective cohort study, we studied the accuracy of quantitative fetal fibronectin measured between 18 and 27<sup>+6</sup> weeks of gestation in high-risk asymptomatic women with twin pregnancies, to predict spontaneous preterm birth before 30 weeks of gestation. Predefined fetal fibronectin thresholds were ≥10, ≥50 and ≥200 ng/mL. Predictive statistics were also calculated to evaluate accuracy of “early” tests, performed between 18 and 21<sup>+6</sup> weeks and “standard” tests performed between 22<sup>+0</sup> and 27<sup>+6</sup> weeks of gestation in the same cohort. Subgroup analysis was performed according to cervical length measurement. In addition, we compared accuracy of prediction with quantitative fetal fibronectin measured during the standard test period in asymptomatic twin pregnancy with no additional risk factors, to twin pregnancies with one or more additional risk factors for spontaneous preterm birth. Results: Of 130 eligible women identified with quantitative fetal fibronectin tests undertaken during the standard testing period, 9% delivered before 30 weeks of gestation. Quantitative fetal fibronectin was significantly related to outcome before 30/40 (ROC curves of 0.8 [95% CI 0.7-1]). Early tests were not significantly predictive; ROC area 0.53 (95% CI 0.29-0.81). There was a trend towards better predictive accuracy when one or more additional risk factors for spontaneous preterm birth or cervical length were considered. Conclusions: Quantitative fetal fibronectin measured from 22 to 27<sup>+6</sup> weeks of gestation accurately predicts spontaneous preterm birth at &lt;30 weeks of gestation. Tests undertaken earlier are of limited value. Consideration of cervical length or prior history in addition to quantitative fetal fibronectin strengthens prediction.</p>

Topics
  • chemical ionisation