Evidence map›Paper›PMID 34444232›Full record

ArticleInternational journal of environmental research and public health2021

COVID-19-Associated Mortality in US Veterans with and without SARS-CoV-2 Infection.

Ayako Suzuki, Jimmy T Efird, Thomas S Redding, Andrew D Thompson, Ashlyn M Press, Christina D Williams, Christopher J Hostler, Christine M Hunt

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 34% 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, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
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

8 authors at 2 institutions in 1 country.

Ayako SuzukiDivision of Gastroenterology, Duke University, Durham, NC 27710, USA.
Jimmy T EfirdVA Cooperative Studies Program Epidemiology Center, Durham VA Health Care System, Durham, NC 27705, USA.
Thomas S ReddingVA Cooperative Studies Program Epidemiology Center, Durham VA Health Care System, Durham, NC 27705, USA.
Andrew D ThompsonVA Cooperative Studies Program Epidemiology Center, Durham VA Health Care System, Durham, NC 27705, USA.
Ashlyn M PressVA Cooperative Studies Program Epidemiology Center, Durham VA Health Care System, Durham, NC 27705, USA.ORCID 0000-0001-7359-0505
Christina D WilliamsVA Cooperative Studies Program Epidemiology Center, Durham VA Health Care System, Durham, NC 27705, USA.
Christopher J HostlerDivision of Infectious Diseases, Duke University School of Medicine, Durham, NC 27710, USA.
Christine M HuntDivision of Gastroenterology, Duke University, Durham, NC 27710, USA.
Duke University · USDurham VA Health Care System · US

Funding

Office of Research and Development COVID-19-8900-02
6 · The paper itself

Abstract

backgroundWe performed an observational Veterans Health Administration cohort analysis to assess how risk factors affect 30-day mortality in SARS-CoV-2-infected subjects relative to those uninfected. While the risk factors for coronavirus disease 2019 (COVID-19) have been extensively studied, these have been seldom compared with uninfected referents.

methodsWe analyzed 341,166 White/Black male veterans tested for SARS-CoV-2 from March 1 to September 10, 2020. The relative risk of 30-day mortality was computed for age, race, ethnicity, BMI, smoking status, and alcohol use disorder in infected and uninfected subjects separately. The difference in relative risk was then evaluated between infected and uninfected subjects. All the analyses were performed considering clinical confounders.

resultsIn this cohort, 7% were SARS-CoV-2-positive. Age >60 and overweight/obesity were associated with a dose-related increased mortality risk among infected patients relative to those uninfected. In contrast, relative to never smoking, current smoking was associated with a decreased mortality among infected and an increased mortality in uninfected, yielding a reduced mortality risk among infected relative to uninfected. Alcohol use disorder was also associated with decreased mortality risk in infected relative to the uninfected.

conclusionsAge, BMI, smoking, and alcohol use disorder affect 30-day mortality in SARS-CoV-2-infected subjects differently from uninfected referents. Advanced age and overweight/obesity were associated with increased mortality risk among infected men, while current smoking and alcohol use disorder were associated with lower mortality risk among infected men, when compared with those uninfected.

Indexed as

COVID-19VeteransEthnicityHumansMaleRisk FactorsSARS-CoV-2COVID-19mortalityrisk factorsmoking

Identifiers

PMID34444232
PMCPMC8394601
OpenAlexW3189339593

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.