Evidence map›Paper›PMID 37600074›Full record

ArticleJAMIA open2023

Who is pregnant? Defining real-world data-based pregnancy episodes in the National COVID Cohort Collaborative (N3C).

Sara E Jones, Katie R Bradwell, Lauren E Chan, Julie A McMurry, Courtney Olson-Chen, Jessica Tarleton, Kenneth J Wilkins, Victoria Ly, Saad Ljazouli, Qiuyuan Qin and 13 more

Open access · goldAbstract read
In one paragraph

Article in JAMIA open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.9field-weighted citation impact, top 3% of its field
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

21 citing papers in PubMed, 20 citations in OpenAlex.

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  15. Pregnancy episodes in All of Us: harnessing multi-source data for pregnancy-related research.Journal of the American Medical Informatics Association : JAMIA · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 13 institutions in 1 country.

Sara E JonesOffice of Data Science and Emerging Technologies, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20852, United States.ORCID https://orcid.org/0000-0003-1877-9406
Katie R BradwellPalantir Technologies, Denver, CO 80202, United States.ORCID https://orcid.org/0000-0002-9730-1808
Lauren E ChanCollege of Public Health and Human Sciences, Oregon State University, Corvallis, OR 97331, United States.ORCID https://orcid.org/0000-0002-7463-6306
Julie A McMurryDepartment of Biomedical Informatics, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, United States.
Courtney Olson-ChenDepartment of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, NY 14620, United States.
Jessica TarletonDepartment of Obstetrics and Gynecology, Medical University of South Carolina, Charleston, SC 29425, United States.ORCID https://orcid.org/0000-0001-8650-6878
Kenneth J WilkinsBiostatistics Program, Office of the Director, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, United States.
Victoria LyDepartment of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, NY 14620, United States.
Saad LjazouliPalantir Technologies, Denver, CO 80202, United States.
Qiuyuan QinDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY 14618, United States.
Emily Groene FahertySchool of Public Health, University of Minnesota, Minneapolis, MN 55455, United States.
Yan Kwan LauSema4, Stamford, CT 06902, United States.
Catherine XieDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY 14618, United States.
Yu-Han KaoSema4, Stamford, CT 06902, United States.
Michael N LiebmanIPQ Analytics, LLC, Kennett Square, PA 19348, United States.
Federico MarionaBeaumont Hospital, Dearborn, MI 48124, United States.
Anup P ChallaDepartment of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN 37212, United States.
Li LiSema4, Stamford, CT 06902, United States.ORCID https://orcid.org/0000-0001-6746-4297
Sarah J RatcliffeDepartment of Public Health Sciences, University of Virginia, Charlottesville, VA 22903, United States.
Melissa A HaendelCollege of Public Health and Human Sciences, Oregon State University, Corvallis, OR 97331, United States.
Rena C PatelDepartment of Medicine and Global Health, University of Washington, Seattle, WA 98105, United States.
Elaine L HillDepartment of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, NY 14620, United States.
N3C Consortium
University of Rochester Medical Center · USSema4 (United States) · USEPIR Technologies (United States) · USNational Institutes of Health · USOregon State University · USUniversity of Washington · USEP Analytics (United States) · USMedical University of South Carolina · USUniversity of Virginia · USWayne State University · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Minnesota · USVanderbilt University · US

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
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6 · The paper itself

Abstract

Objectives: To define pregnancy episodes and estimate gestational age within electronic health record (EHR) data from the National COVID Cohort Collaborative (N3C). Materials and Methods: We developed a comprehensive approach, named Hierarchy and rule-based pregnancy episode Inference integrated with Pregnancy Progression Signatures (HIPPS), and applied it to EHR data in the N3C (January 1, 2018-April 7, 2022). HIPPS combines: (1) an extension of a previously published pregnancy episode algorithm, (2) a novel algorithm to detect gestational age-specific signatures of a progressing pregnancy for further episode support, and (3) pregnancy start date inference. Clinicians performed validation of HIPPS on a subset of episodes. We then generated pregnancy cohorts based on gestational age precision and pregnancy outcomes for assessment of accuracy and comparison of COVID-19 and other characteristics. Results: We identified 628 165 pregnant persons with 816 471 pregnancy episodes, of which 52.3% were live births, 24.4% were other outcomes (stillbirth, ectopic pregnancy, abortions), and 23.3% had unknown outcomes. Clinician validation agreed 98.8% with HIPPS-identified episodes. We were able to estimate start dates within 1 week of precision for 475 433 (58.2%) episodes. 62 540 (7.7%) episodes had incident COVID-19 during pregnancy. Discussion: HIPPS provides measures of support for pregnancy-related variables such as gestational age and pregnancy outcomes based on N3C data. Gestational age precision allows researchers to find time to events with reasonable confidence. Conclusion: We have developed a novel and robust approach for inferring pregnancy episodes and gestational age that addresses data inconsistency and missingness in EHR data.

Indexed as

algorithmsCOVID-19electronic health recordsgestational agepregnancy

Identifiers

PMID37600074
PMCPMC10432357
OpenAlexW4385717375

What OpenQuestion holds

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Registered trials

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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.