Evidence map›Paper›PMID 35233579›Full record

ArticlemedRxiv : the preprint server for health sciences2022

COVID infection rates, clinical outcomes, and racial/ethnic and gender disparities before and after Omicron emerged in the US.

Lindsey Wang, Nathan A Berger, David C Kaelber, Pamela B Davis, Nora D Volkow, Rong Xu

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 65 citations in OpenAlex.

  1. [Clinical characteristics of children with Omicron variant infection in Chengdu area, China].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    Article
  2. Article
  3. Article
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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

6 authors at 3 institutions in 1 country.

Lindsey WangCenter for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Nathan A BergerCenter for Science, Health, and Society, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
David C KaelberThe Center for Clinical Informatics Research and Education, The MetroHealth System, Cleveland, OH, USA.
Pamela B DavisCenter for Community Health Integration, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Nora D VolkowNational Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA.
Rong XuCenter for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Case Western Reserve University · USMetroHealth · USNational Institutes of Health · US

Funding

TUMOR METABOLISM PROGRAMP30CA043703 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI Amar Desai · 1987 to 2026
$142.3M
Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Greater Southern California Node of the Clinical Trials NetworkUG1DA049435 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YIH-ING HSER · 2019 to 2026
$16.7M
Case CCC Youth Engaged in Science, 09/01/2022-08/31/2027R25CA221718 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI Jason Mears · 2017 to 2026
$4.4M
Role of MYC-MIZ1 signaling and the inflammatory immune microenvironment in Triple-Negative Breast Cancer Racial DisparitiesP20CA233216 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI LI, LI · 2018 to 2021
$3.6M
Combine computational prediction, network analysis and genetic screening in C elegans to uncover neurodegenerative causes in Alzheimer's DiseaseR01AG061388 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI CHEN, SHU G., XU, RONG · 2018 to 2022
$3.4M
An Integrated Reverse Engineering Approach Toward Rapid drug Re positioning for Alzheimer's DiseaseR01AG057557 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2017 to 2021
$2.8M
Collision of Alzheimers disease and COVID-19 pandemic in the United States: risks, outcomes, disparities and treatmentsRF1AG076649 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI DAVIS, PAMELA B, XU, RONG · 2022 to 2022
$2.3M
Construct large-scale phenomes of disease and drugs and develop data-driven systems approaches to understand genetic links between Alzheimer's disease and Neuropsychiatric symptomsR56AG062272 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2018 to 2019
$1.6M
Collision of Alzheimers disease and COVID-19 pandemic in the United States: risks, outcomes, disparities and treatmentsR01AG076649 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI Rong Xu · 2025 to 2026
$1.6M
Characterize multifaceted interactions between COVID-19 and alcohol use disorder based on real-time analysis of electronic health records of 62 million adult patientsR01AA029831 · NIAAA · CASE WESTERN RESERVE UNIVERSITY · PI DAVIS, PAMELA B, XU, RONG · 2021 to 2023
$1.1M
NCATS NIH HHS UL1 TR002548NCI NIH HHS P20 CA233216NCI NIH HHS P30 CA043703NCI NIH HHS R25 CA221718NIAAA NIH HHS R01 AA029831NIA NIH HHS R01 AG057557NIA NIH HHS R01 AG061388NIA NIH HHS R01 AG076649NIA NIH HHS R56 AG062272NIA NIH HHS RF1 AG076649NIDA NIH HHS UG1 DA049435
6 · The paper itself

Abstract

Background: SARS-CoV-2 infections and hospitalizations are rising in the US and other countries after the emergence of the Omicron variant. Currently, data on infection rates, severity and racial/ethnic and gender disparities from Omicron in the US is limited. Method: We performed a retrospective cohort study of a large, geographically diverse database of patient electronic health records (EHRs) in the US. The study population comprised 881,473 patients who contracted SARS-CoV-2 infection for the first time between 9/1/2021-1/16/2022, including 147,964 patients infected when Omicron predominated (Omicron cohort), 633,581 when Delta predominated (Delta cohort) and another 99,928 infected when the Delta predominated but just before the Omicron variant was detected in the US (Delta-2 cohort). We examined monthly incidence rates of COVID-19 infections stratified by age groups, gender, race and ethnicity, compared severe clinical outcomes including emergency department (ED) visits, hospitalizations, intensive care unit (ICU) admissions, and mechanical ventilation use between propensity-score matched Omicron and Delta cohorts stratified by age groups (0-4, 5-17, 18-64 and ≥ 65 years), and examined racial/ethnic and gender differences in severe clinical outcomes. Findings: Among 147,964 infected patients in the Omicron cohort (average age: 39.1 years), 56.7% were female, 2.4% Asian, 21.1% Black, 6.2% Hispanic, and 51.8% White. The monthly incidence rate of COVID infections (new cases per 1000 persons per day) was 0.5-0.7 when Delta predominated, and rapidly increased to 3.8-5.2 when Omicron predominated. In January 2022, the infection rate was highest in children under 5 years (11.0) among all age groups, higher in Black than in White patients (14.0 vs. 3.8), and higher in Hispanic than in non-Hispanic patients (8.9 vs. 3.1). After propensity-score matching for demographics, socio-economic determinants of health, comorbidities and medications, risks for severe clinical outcomes in the Omicron cohort were significantly lower than in the Delta cohort: ED visits: 10.2% vs. 14.6% (risk ratio or RR: 0.70 [0.68-0.71]); hospitalizations: 2.6% vs. 4.4% (RR: 0.58 [0.55-0.60]); ICU admissions: 0.47% vs. 1.00% (RR: 0.47 [0.43-0.51]); mechanical ventilation: 0.08% vs. 0.3% (RR: 0.25 [0.20-0.31]). Similar reduction in disease severity was observed for all age groups. There were significant racial/ethnic and gender disparities in severe clinical outcomes in the Omicron cohort, with Black, Hispanic patients having more ED visits and ICU admissions than White and non-Hispanic patients, respectively and women had fewer hospitalization and ICU admission than men. Interpretation: The incidence rate of COVID infection during the omicron predominant period (prevalence >92%) was 6-8 times higher than during the Delta predominant period that preceded it consistent with greater infectivity. The incidence rate was highest among those less than 5 years of age, and in Black and Hispanic patients. COVID infections occurring when the Omicron predominated were associated with significantly less frequent severe outcomes than in matched patients when the Delta variant predominated. There were significant racial, ethnic and gender disparities in severe clinical outcomes, with Black and Hispanic patients and men disproportionally impacted.

Identifiers

PMID35233579
PMCPMC8887070
OpenAlexW4213088077

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.