Evidence map›Paper›PMID 34308124›Full record

ArticleBMJ nutrition, prevention & health2021

Temporal variations in the severity of COVID-19 illness by race and ethnicity.

Joseph E Ebinger, Matthew Driver, Hongwei Ji, Brian Claggett, Min Wu, Eric Luong, Nancy Sun, Patrick Botting, Elizabeth H Kim, Amy Hoang and 7 more

Open access · goldAbstract read
In one paragraph

Article in BMJ nutrition, prevention & health, 2021. 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
0.4field-weighted citation impact, top 46% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

17 authors at 4 institutions in 2 countries.

Joseph E EbingerDepartment of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA.ORCID 0000-0002-0587-1572
Matthew DriverDepartment of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Hongwei JiDepartment of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Brian ClaggettCardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Min WuDepartment of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Eric LuongDepartment of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Nancy SunDepartment of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Patrick BottingDepartment of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Elizabeth H KimDepartment of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Amy HoangDepartment of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Trevor Trung NguyenDepartment of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Jacqueline DiazDepartment of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Eunice ParkAdvanced Data Analytics, Enterprise Information Systems, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Tod DavisAdvanced Data Analytics, Enterprise Information Systems, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Shehnaz HussainDepartment of Public Health Sciences and Comprehensive Cancer Center, University of California, Davis, Davis, California, USA.
Susan Cheng *Department of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Jane C Figueiredo *Department of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Cedars-Sinai Medical Center · USBrigham and Women's Hospital · USQingdao University · CNUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEarly reports highlighted racial/ethnic disparities in the severity of COVID-19 seen across the USA; the extent to which these disparities have persisted over time remains unclear. Our research objective was to understand temporal trends in racial/ethnic variation in severity of COVID-19 illness presenting over time.

methodsWe conducted a retrospective cohort analysis using longitudinal data from Cedars-Sinai Medical Center, a high-volume health system in Southern California. We studied patients admitted to the hospital with COVID-19 illness from 4 March 2020 through 5 December 2020. Our primary outcome was COVID-19 severity of illness among hospitalised patients, assessed by racial/ethnic group status. We defined overall illness severity as an ordinal outcome: hospitalisation but no intensive care unit (ICU) admission; admission to the ICU but no intubation; and intubation or death.

resultsA total of 1584 patients with COVID-19 with available demographic and clinical data were included. Hispanic/Latinx compared with non-Hispanic white patients had higher odds of experiencing more severe illness among hospitalised patients (OR 2.28, 95% CI 1.62 to 3.22) and this disparity persisted over time. During the initial 2 months of the pandemic, non-Hispanic blacks were more likely to suffer severe illness than non-Hispanic whites (OR 2.02, 95% CI 1.07 to 3.78); this disparity improved by May, only to return later in the pandemic.

conclusionIn our patient sample, the severity of observed COVID-19 illness declined steadily over time, but these clinical improvements were not seen evenly across racial/ethnic groups; greater illness severity continues to be experienced among Hispanic/Latinx patients.

Indexed as

COVID-19

Identifiers

PMID34308124
PMCPMC7985979
OpenAlexW3136599891

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.