Literature DB >> 28578176

Research standardization tools: pregnancy measures in the PhenX Toolkit.

Ann Kinga Malinowski1, Cande V Ananth2, Patrick Catalano3, Erin P Hines4, Russell S Kirby5, Mark A Klebanoff6, John J Mulvihill7, Hyagriv Simhan8, Carol M Hamilton9, Tabitha P Hendershot9, Michael J Phillips9, Lisa A Kilpatrick9, Deborah R Maiese9, Erin M Ramos7, Rosalind J Wright10, Siobhan M Dolan11.   

Abstract

Only through concerted and well-executed research endeavors can we gain the requisite knowledge to advance pregnancy care and have a positive impact on maternal and newborn health. Yet the heterogeneity inherent in individual studies limits our ability to compare and synthesize study results, thus impeding the capacity to draw meaningful conclusions that can be trusted to inform clinical care. The PhenX Toolkit (http://www.phenxtoolkit.org), supported since 2007 by the National Institutes of Health, is a web-based catalog of standardized protocols for measuring phenotypes and exposures relevant for clinical research. In 2016, a working group of pregnancy experts recommended 15 measures for the PhenX Toolkit that are highly relevant to pregnancy research. The working group followed the established PhenX consensus process to recommend protocols that are broadly validated, well established, nonproprietary, and have a relatively low burden for investigators and participants. The working group considered input from the pregnancy experts and the broader research community and included measures addressing the mode of conception, gestational age, fetal growth assessment, prenatal care, the mode of delivery, gestational diabetes, behavioral and mental health, and environmental exposure biomarkers. These pregnancy measures complement the existing measures for other established domains in the PhenX Toolkit, including reproductive health, anthropometrics, demographic characteristics, and alcohol, tobacco, and other substances. The preceding domains influence a woman's health during pregnancy. For each measure, the PhenX Toolkit includes data dictionaries and data collection worksheets that facilitate incorporation of the protocol into new or existing studies. The measures within the pregnancy domain offer a valuable resource to investigators and clinicians and are well poised to facilitate collaborative pregnancy research with the goal to improve patient care. To achieve this aim, investigators whose work includes the perinatal population are encouraged to utilize the PhenX Toolkit in the design and implementation of their studies, thus potentially reducing heterogeneity in data measures across studies. Such an effort will enhance the overall impact of individual studies, increasing the ability to draw more meaningful conclusions that can then be translated into clinical practice.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  PhenX; PhenX Toolkit; conception; cross-study analyses; data harmonization; delivery; depression; environmental exposure biomarkers; epidemiologic surveys; fetal growth assessment; gestational age; gestational diabetes; mental health; phenotypes; pregnancy; prenatal care; standard measures

Mesh:

Year:  2017        PMID: 28578176      PMCID: PMC5581223          DOI: 10.1016/j.ajog.2017.05.058

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  44 in total

1.  Using PhenX measures to identify opportunities for cross-study analysis.

Authors:  Huaqin Pan; Kimberly A Tryka; Daniel J Vreeman; Wayne Huggins; Michael J Phillips; Jayashri P Mehta; Jacqueline H Phillips; Clement J McDonald; Heather A Junkins; Erin M Ramos; Carol M Hamilton
Journal:  Hum Mutat       Date:  2012-04-03       Impact factor: 4.878

2.  Invited commentary: consolidating data harmonization--how to obtain quality and applicability?

Authors:  Isabel Fortier; Dany Doiron; Paul Burton; Parminder Raina
Journal:  Am J Epidemiol       Date:  2011-07-11       Impact factor: 4.897

3.  Invigorating placental research through the "Human Placenta Project".

Authors:  Y Sadovsky; V L Clifton; G J Burton
Journal:  Placenta       Date:  2014-06-20       Impact factor: 3.481

4.  Evidence based medicine: what it is and what it isn't.

Authors:  D L Sackett; W M Rosenberg; J A Gray; R B Haynes; W S Richardson
Journal:  BMJ       Date:  1996-01-13

5.  ACOG Committee Opinion No. 526: Standardization of practice to improve outcomes.

Authors: 
Journal:  Obstet Gynecol       Date:  2012-05       Impact factor: 7.661

6.  The ELGAN study of the brain and related disorders in extremely low gestational age newborns.

Authors:  T M O'Shea; E N Allred; O Dammann; D Hirtz; K C K Kuban; N Paneth; A Leviton
Journal:  Early Hum Dev       Date:  2009-09-17       Impact factor: 2.079

7.  Exposome: time for transformative research.

Authors:  Germaine M Buck Louis; Rajeshwari Sundaram
Journal:  Stat Med       Date:  2012-09-28       Impact factor: 2.373

8.  Racial/ethnic standards for fetal growth: the NICHD Fetal Growth Studies.

Authors:  Germaine M Buck Louis; Jagteshwar Grewal; Paul S Albert; Anthony Sciscione; Deborah A Wing; William A Grobman; Roger B Newman; Ronald Wapner; Mary E D'Alton; Daniel Skupski; Michael P Nageotte; Angela C Ranzini; John Owen; Edward K Chien; Sabrina Craigo; Mary L Hediger; Sungduk Kim; Cuilin Zhang; Katherine L Grantz
Journal:  Am J Obstet Gynecol       Date:  2015-10       Impact factor: 8.661

9.  The PhenX Toolkit pregnancy and birth collections.

Authors:  Nedra S Whitehead; Jane A Hammond; Michelle A Williams; Wayne Huggins; Sonja Hoover; Carol M Hamilton; Erin M Ramos; Heather A Junkins; William R Harlan; Carol J Hogue
Journal:  Ann Epidemiol       Date:  2012-09-03       Impact factor: 3.797

10.  PhenX measures for phenotyping rare genetic conditions.

Authors:  Michael Phillips; Tracey Grant; Philip Giampietro; Joann Bodurtha; Rodolfo Valdez; Deborah R Maiese; Tabitha Hendershot; Sharon F Terry; Carol M Hamilton
Journal:  Genet Med       Date:  2017-01-12       Impact factor: 8.822

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  1 in total

Review 1.  A review of maternal prenatal exposures to environmental chemicals and psychosocial stressors-implications for research on perinatal outcomes in the ECHO program.

Authors:  Amy M Padula; Catherine Monk; Patricia A Brennan; Ann Borders; Emily S Barrett; Cindy T McEvoy; Sophie Foss; Preeya Desai; Akram Alshawabkeh; Renee Wurth; Carolyn Salafia; Raina Fichorova; Julia Varshavsky; Amii Kress; Tracey J Woodruff; Rachel Morello-Frosch
Journal:  J Perinatol       Date:  2019-10-15       Impact factor: 3.225

  1 in total

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