Evidence map›Paper›PMID 35661577›Full record

ArticleJournal of hospital medicine2022

Clinical and virologic factors associated with outcomes of COVID-19 before and after vaccination among Veterans: Retrospective analysis from six New England states.

Megan Lee, Danielle Cosentino, Tassos C Kyriakides, Tricia Cavallaro, Gary Stack, Shaili Gupta

Abstract read
In one paragraph

Article in Journal of hospital medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Megan LeeYale School of Medicine, New Haven, Connecticut, USA.
Danielle CosentinoDepartment of Clinical Informatics, VA Connecticut Healthcare System, West Haven, Connecticut, USA.
Tassos C KyriakidesDepartment of Veterans' Affairs Cooperative Studies Program, VA Connecticut Healthcare System, West Haven, Connecticut, USA.
Tricia CavallaroDepartment of Pathology and Laboratory Medicine, VA Connecticut Healthcare System, West Haven, Connecticut, USA.
Gary StackDepartment of Pathology and Laboratory Medicine, VA Connecticut Healthcare System, West Haven, Connecticut, USA.
Shaili GuptaDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0001-9508-0995

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Center for Disease Control BAA 75D301-20-R-68024NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

We aimed to characterize clinical and demographic factors affecting clinical outcomes of COVID-19 and describe viral epidemiology among unvaccinated Veterans in New England. Veterans infected with COVID-19 in Veterans Administration healthcare systems in six New England states from April 8, 2020, to September 2, 2021, were correlated with outcomes of 30-day mortality, nonpsychiatric hospitalization, and intensive care unit admission (ICU-care). We sequenced 827 viral genomes. Of 3950 Veterans with COVID-19 before full vaccination, 81% were White, 8% were women, and the mean age was 60 years. Overall, 19% of Veterans required hospitalization, 2.8% required ICU care, and 4.9% died. In this largely male and older cohort, poor outcomes correlated with increasing age. Most New England Veterans (>97%) were infected with B.1 sublineages with the D614G mutation in 2020 and early 2021. B.1.617.2 lineage (68%) predominated after July 2021.

Indexed as

COVID-19VeteransFemaleHospitalizationHumansMaleMiddle AgedRetrospective StudiesSARS-CoV-2Vaccination

Identifiers

PMID35661577
PMCPMC9348310

What OpenQuestion holds

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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.