Evidence map›Paper›PMID 32754847›Full record

ArticleJournal of racial and ethnic health disparities2021

Trends and Racial/Ethnic Disparities in the Rates of Pre-eclampsia by HIV Status in the US.

Jamalena Thompson, Collins Onyenaka, Emmanuella Oduguwa, Deepa Dongarwar, Sumaya Gendra, Vidella Coker, Seun Kutse, Mayra Blanco, Onyinye Nwangwu, Charlee King and 8 more

Abstract read
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In one paragraph

Article in Journal of racial and ethnic health disparities, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Observational
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

18 authors at 4 institutions in 1 country.

Jamalena ThompsonCollege of Pharmacy and Health Sciences, Texas Southern University, Houston, TX, USA.
Collins OnyenakaCollege of Pharmacy and Health Sciences, Texas Southern University, Houston, TX, USA.
Emmanuella OduguwaCenter of Excellence in Health Equity, Training, and Research, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77098, USA. ellaoduguwa@gmail.com.ORCID http://orcid.org/0000-0002-6878-2075
Deepa DongarwarCenter of Excellence in Health Equity, Training, and Research, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77098, USA.
Sumaya GendraCollege of Pharmacy and Health Sciences, Texas Southern University, Houston, TX, USA.
Vidella CokerCollege of Pharmacy and Health Sciences, Texas Southern University, Houston, TX, USA.
Seun KutseCollege of Pharmacy and Health Sciences, Texas Southern University, Houston, TX, USA.
Mayra BlancoCollege of Pharmacy and Health Sciences, Texas Southern University, Houston, TX, USA.
Onyinye NwangwuCollege of Pharmacy and Health Sciences, Texas Southern University, Houston, TX, USA.
Charlee KingCollege of Pharmacy and Health Sciences, Texas Southern University, Houston, TX, USA.
Elza EnamoradoCollege of Pharmacy and Health Sciences, Texas Southern University, Houston, TX, USA.
Oluwatoyin BakareCollege of Pharmacy and Health Sciences, Texas Southern University, Houston, TX, USA.
Veronica B AjewoleCollege of Pharmacy and Health Sciences, Texas Southern University, Houston, TX, USA.
Kiara K SpoonerDepartment of Family and Community Medicine, Baylor College of Medicine, Houston, TX, USA.
Jason L SalemiCollege of Public Health, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
Muktar H AliyuDepartment of Health Policy, Vanderbilt University Medical Center, Nashville, TN, USA.
Hamisu M SalihuCenter of Excellence in Health Equity, Training, and Research, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77098, USA.
Omonike A OlaleyeCollege of Pharmacy and Health Sciences, Texas Southern University, Houston, TX, USA.
Texas Southern University · USBaylor College of Medicine · USUniversity of South Florida · USVanderbilt University Medical Center · US

Funding

U.S. Department of Health and Human Services T16MC29831
6 · The paper itself

Abstract

backgroundPreeclampsia and HIV account for a significant proportion of the global burden of disease and pose severe maternal-fetal risks. There is a dearth of literature regarding racial/ethnic disparities in preeclampsia associated with HIV/AIDS in the US.

methodsWe retrospectively analyzed data from the National Inpatient Sample (NIS) database from 2002 to 2015 on a cohort of hospitalized pregnant women with or without preeclampsia and HIV. Joinpoint regression models were used to identify trends in the rates of preeclampsia among pregnant women living with or without HIV, stratified by race/ethnicity over the study period. We also assessed the association between preeclampsia and various socio-demographic factors.

resultsWe analyzed over 60 million pregnancy-related hospitalizations, of which 3665 had diagnoses of preeclampsia and HIV, corresponding to a rate of 0.61 per 10,000. There was an increasing trend in the diagnosis of preeclampsia among hospitalized, pregnant women without HIV across each racial/ethnic category. The highest prevalence of preeclampsia was among non-Hispanic (NH) Blacks, regardless of HIV status.

conclusionThe increase in rates of pre-eclampsia between 2002 and 2015 was mostly noted among pregnant women without HIV. Regardless of HIV status, NH-Blacks experienced the highest discharge prevalence of preeclampsia.

Indexed as

Health Status DisparitiesAdolescentAdultDatabases, FactualEthnicityFemaleHIV InfectionsHumansMiddle AgedPre-EclampsiaPregnancyPregnancy Complications, InfectiousRacial GroupsRetrospective StudiesUnited StatesYoung AdultHIVMaternal-fetal healthPreeclampsiaPregnancyRacial disparities

Identifiers

PMID32754847
OpenAlexW3047245467

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.