Evidence map›Paper›PMID 28578176›Full record

ArticleAmerican journal of obstetrics and gynecology2017

Research standardization tools: pregnancy measures in the PhenX Toolkit.

Ann Kinga Malinowski, Cande V Ananth, Patrick Catalano, Erin P Hines, Russell S Kirby, Mark A Klebanoff, John J Mulvihill, Hyagriv Simhan, Carol M Hamilton, Tabitha P Hendershot and 7 more

Abstract read
In one paragraph

Article in American journal of obstetrics and gynecology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Acute pain episodes, acute chest syndrome, and pulmonary thromboembolism in pregnancy.Hematology. American Society of Hematology. Education Program · 2022
    Pooled it
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Ann Kinga MalinowskiDepartment of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Mt Sinai Hospital, Lunenfeld-Tanenbaum Research Institute, University of Toronto, ON, Canada. Electronic address: amalinowski@mtsinai.on.ca.
Cande V AnanthDepartment of Obstetrics and Gynecology, College of Physicians and Surgeons, and Department of Epidemiology, Joseph L. Mailman School of Public Health, New York, NY.
Patrick CatalanoCase Western Reserve University, Cleveland, OH.
Erin P HinesUS Environmental Protection Agency, Research Triangle Park, NC.
Russell S KirbyUniversity of South Florida, Tampa, FL.
Mark A KlebanoffThe Research Institute at Nationwide Children's Hospital, Columbus, OH.
John J MulvihillNational Human Genome Research Institute, Bethesda, MD.
Hyagriv SimhanDepartment of Obstetrics, Gynecology, and Reproductive Science, Division of Maternal-Fetal Medicine, University of Pittsburgh, Pittsburgh, PA.
Carol M HamiltonRTI International, Research Triangle Park, NC.
Tabitha P HendershotRTI International, Research Triangle Park, NC.
Michael J PhillipsRTI International, Research Triangle Park, NC.
Lisa A KilpatrickRTI International, Research Triangle Park, NC.
Deborah R MaieseRTI International, Research Triangle Park, NC.
Erin M RamosNational Human Genome Research Institute, Bethesda, MD.
Rosalind J WrightIcahn School of Medicine, New York, NY.
Siobhan M DolanAlbert Einstein College of Medicine, Bronx, NY.
PhenX Pregnancy Working Group

Funding

Genomic Resource Grant for the PhenX Toolkit - expansion and sustainabilityPhenX Supplement for COVID-19 ResearchU41HG007050 · NHGRI · RESEARCH TRIANGLE INSTITUTE · PI HAMILTON, CAROL MARIE · 2013 to 2022
$21.2M
Intramural EPA EPA999999NHGRI NIH HHS U41 HG007050
6 · The paper itself

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.

Indexed as

SoftwareDatabases, FactualFemaleHumansInternetPhenotypePregnancyResearchResearch Designconceptioncross-study analysesdata harmonizationdeliverydepressionenvironmental exposure biomarkersepidemiologic surveysfetal growth assessmentgestational agegestational diabetesmental healthphenotypesPhenXPhenX Toolkitpregnancyprenatal carestandard measures

Identifiers

PMID28578176
PMCPMC5581223

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.