Evidence map›Paper›PMID 42818502›Full record

ArticleResearch square2026

Race implications of COVID-19 in Utah: a population-based cohort study.

Natalia Arizmendez, Megan A Cahn, Samuel Yousefzai, Zhe David Yu, Kimberley Shoaf, Sharon L Talboys, Daniel B Knox, Chun-Pin Esther Chang, Mia Hashibe

Abstract readPreprint
In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Natalia ArizmendezIntermountain Healthcare.
Megan A CahnLegacy Health.
Samuel YousefzaiLegacy Health.
Zhe David YuHuntsman Cancer Institute.
Kimberley ShoafUniversity of Utah School of Medicine.
Sharon L TalboysUniversity of Utah School of Medicine.
Daniel B KnoxIntermountain Healthcare.
Chun-Pin Esther ChangUniversity of Utah School of Medicine.
Mia HashibeUCLA Fielding School of Public Heath.

Funding

Sharing statewide health data for genetic research (1 R01 RR021746-01A1)R01RR021746 · NCRR · UNIVERSITY OF UTAH · PI MINEAU, GERALDINE P · 2007 to 2009
$770k
From genomics to natural language processing: A protected environment for research computing in the health scienceS10OD021644 · OD · UNIVERSITY OF UTAH · PI CHEATHAM, THOMAS E. · 2017 to 2017
$494k
NCRR NIH HHS R01 RR021746NIH HHS S10 OD021644
6 · The paper itself

Abstract

Background: The COVID-19 pandemic disproportionately affected marginalized populations in the United States. We characterize statewide COVID-19 health outcomes by race and ethnicity. Methods: We conducted a retrospective analysis of individuals alive on January 1, 2020 with known sex, race, and ethnicity data utilizing the Utah Population Database. COVID-19 health outcomes were identified by diagnostic codes. Ethnically diverse individuals were matched to non-Hispanic White (NHW) individuals by age and sex. Demographic characteristics were compared using Chi-square test. Conditional logistic regression models were used to estimate odds ratios (OR) for COVID-19 related outcomes with adjustment for potential confounders. Results: Among 1, 230, 862 individuals, 50% were NHW, 37% Hispanic/Latino, 2.6% Asian, 1.9% Black/ African American, 1.1% Native Hawaiian/ Pacific Islander (NHPI), 0.85% America Indian/ Alaskan Native (AIAN), and 6.6% multiracial. NHPI were the youngest, median age of 26. NHPIs had over a 4-fold increase in hospitalization and 11.28-fold higher odds of COVID-19-specific death compared to NHW. AIAN had more than 2-fold higher odds of hospitalization, ICU admission, death due to COVID-19 compared to NHW. Conclusions: Significant racioethnic disparities in COVID-19 health outcomes were observed in NHPI and AIAN populations and underscore the need for targeted public health strategies to mitigate disparities.

Identifiers

PMID42818502
PMCPMC13622828

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.