ReviewMaternal and child health journal2021
Racial/Ethnic Representation in United States and Australian Obstetric Research.
Review in Maternal and child health journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Preterm birth among Pacific Islanders in the United States and the US-affiliated Pacific Islands: A systematic review and meta-analysis.Birth (Berkeley, Calif.) · 2023Pooled it
- Perceived Everyday Discrimination and Ethnic Disparities in Postpartum Depression: A Longitudinal Study of Asian Canadians.Journal of racial and ethnic health disparities · 2026Article
- What's next for the field of multigenerational mental health? The need for deep behavioral phenotyping via a prenatal mental health registry.Development and psychopathology · 2024Article
- Preterm Birth Risk and Maternal Nativity, Ethnicity, and Race.JAMA network open · 2024Article
- Motives for and Barriers to Research Participation Among Racially and Ethnically Diverse Veterans.Military medicine · 2023Article
- A Simple Intervention to Improve Equity in Obstetric Research.Health equity · 2023Article
- Ancestry: How researchers use it and what they mean by it.Frontiers in genetics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo describe racial/ethnic representation in United States (US) and Australian obstetric research, represented by the Maternal-Fetal Medicine Units Network (MFMU) and Australian Research Centre for Health of Women and Babies (ARCH) trials.
methodsMFMU studies were identified through PubMed and ARCH studies through their online publication listing from 2011 to 2016. Observational and randomized cohorts and primary and secondary data analyses were included. Studies with race-based enrollment were excluded. Racial/ethnic representation was expressed as the mean racial/ethnic percentages of the studies (i.e.,: studies weighted equally regardless of sample size). Racial/ethnic percentages in MFMU studies were compared to US registered births and ARCH compared to Australian census ancestry data.
results38 MFMU studies included 580,282 women. Racial/ethnic representation (% [SD]) included White 41.7 [12.3], Hispanic 28.1 [15.4], Black 26.2 [12.3], Asian 3.6 [2.3], and American Indian/Alaskan Native (AI/AN) 0.2 [0.02]. No studies reported Native Hawaiian/other Pacific Islanders (NHOPI) separately. Comparatively, registered US births (%) were White 75.7, Hispanic 28.1, Black 16.1, Asian/Pacific Islander 7.1, and AI/AN 1.1, which differed from the MFMU (P = 0.02). 20 ARCH studies included 51,873 women. The most reported groups were White 76.5 [17.4], Asian 15.2 [14.8], and Aboriginal/Torres Strait Islander 13.9 [30.5], compared to census numbers of White 88.7, Asian 9.4, and Aboriginal/Torres Strait Islander 2.8 (P < 0.01). Two ARCH studies reported African ethnicity.
conclusionThere is racial diversity in studies by MFMU and ARCH, with opportunities to increase enrollment and enhanced reporting of Asian, AI/AN, and NHOPI races in MFMU studies and Black race in ARCH studies.
Indexed as
Identifiers
33222026What OpenQuestion holds
Registered trials
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.