Evidence map›Paper›PMID 37225388›Full record

ArticleRheumatology (Oxford, England)2024

Implications of the accuracy of diagnostic algorithms for systemic lupus on our understanding of racial disparities in pregnancy outcomes.

Megan E B Clowse, James Oates, April Barnado, Katie Kirchoff, Ashley Blaske, Saira Z Sheikh, Leslie J Crofford, Amanda M Eudy

Abstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. Article
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

8 authors.

Megan E B ClowseDepartment of Medicine, Duke University School of Medicine, Durham, NC, USA.ORCID 0000-0002-8579-3470
James OatesDepartment of Medicine, Medical University of South Carolina, Charleston, SC, USA.
April BarnadoDepartment of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
Katie KirchoffBiomedical Informatics Center, Medical University of South Carolina, Charleston, SC, USA.
Ashley BlaskeDepartment of Internal Medicine, East Tennessee State University College of Medicine, Johnson City, TN, USA.
Saira Z SheikhDepartment of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Leslie J CroffordDepartment of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
Amanda M EudyDepartment of Medicine, Duke University School of Medicine, Durham, NC, USA.

Funding

Support for QA/QC for Prior Approval ProcessUL1TR002553 · NCATS · DUKE UNIVERSITY · PI LI, JENNIFER S, MCNAMARA, JAMES O. · 2018 to 2023
$58.5M
Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
North Carolina Translational and Clinical Sciences Institute (NC TraCS)UM1TR004406 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NICHOLAS J SHAHEEN · 2023 to 2026
$37.5M
South Carolina Clinical & Translational Research Institute (SCTR)UL1TR000062 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2012 to 2014
$9.4M
Resource CoreP30AR072582 · NIAMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI JAMES C OATES · 2017 to 2026
$8.5M
Institutional Career Development CoreKL2TR002554 · NCATS · DUKE UNIVERSITY · PI SVETKEY, LAURA P · 2018 to 2022
$8.2M
Patient Resource CoreP60AR062755 · NIAMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI GILKESON, GARY S · 2012 to 2016
$5.8M
Predicting risk of systemic autoimmune disease in patients with positive antinuclear antibodiesR01AR080629 · NIAMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Tracy Minan Frech · 2022 to 2026
$2.0M
Using the electronic health record to risk-stratify patients with systemic lupus erythematosusK08AR072757 · NIAMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BARNADO, APRIL LYNN · 2018 to 2022
$817k
NCATS NIH HHS 1KL2TR002554NCATS NIH HHS KL2 TR002554NCATS NIH HHS UL1 TR000062NCATS NIH HHS UL1 TR001450NCATS NIH HHS UL1 TR002489NCATS NIH HHS UL1TR002489NCATS NIH HHS UL1 TR002553NCATS NIH HHS ULTR000445NCATS NIH HHS UM1 TR004406NCRR NIH HHS UL1 RR024975NIAMS NIH HHS 1K08 AR072757-01NIAMS NIH HHS K08 AR072757NIAMS NIH HHS P30 AR072582NIAMS NIH HHS P60 AR062755NIAMS NIH HHS R01 AR080629NIH HHS UL1TR002489
6 · The paper itself

Abstract

objectiveDisparities in pregnancy outcomes among women with SLE remain understudied, with few available racially diverse datasets. We sought to identify disparities between Black and White women in pregnancy outcomes within academic institutions in the United States.

methodsUsing the Common Data Model electronic medical record (EMR)-based datasets within the Carolinas Collaborative, we identified women with pregnancy delivery data (2014-2019) and ≥1 SLE International Classification of Diseases 9 or 10 code (ICD9/10) code. From this dataset, we identified four cohorts of SLE pregnancies, three based on EMR-based algorithms and one confirmed with chart review. We compared the pregnancy outcomes identified in each of these cohorts for Black and White women.

resultsOf 172 pregnancies in women with ≥1 SLE ICD9/10 code, 49% had confirmed SLE. Adverse pregnancy outcomes occurred in 40% of pregnancies in women with ≥1 ICD9/10 SLE code and 52% of pregnancies with confirmed SLE. SLE was frequently over-diagnosed in women who were White, resulting in 40-75% lower rates of adverse pregnancy outcomes in EMR-derived vs confirmed SLE cohorts. Over-diagnosis was less common for Black women with pregnancy outcomes 12-20% lower in EMR-derived vs confirmed SLE cohorts. Black women had higher rates of adverse pregnancy outcomes than White women in the EMR-derived, but not the confirmed cohorts.

conclusionEMR-derived cohorts of pregnancies in women who are Black, but not White, provided accurate estimations of pregnancy outcomes. The data from the confirmed SLE pregnancies suggest that all women with SLE, regardless of race, referred to academic centres remain at very high risk for adverse pregnancy outcome.

Indexed as

Health Status DisparitiesLupus Erythematosus, SystemicPregnancy ComplicationsRacial GroupsBlack or African AmericanFemaleHumansPregnancyPregnancy OutcomeRisk FactorsUnited StatesWhitedisparitiespregnancyracially diverseSLE

Identifiers

PMID37225388
PMCPMC10765149

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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.