Evidence map›Paper›PMID 36564105›Full record

ArticleBMJ open2022

Effect of vaccination on the case fatality rate for COVID-19 infections 2020-2021: multivariate modelling of data from the US Department of Veterans Affairs.

Glen H Murata, Allison E Murata, Douglas J Perkins, Heather M Campbell, Jenny T Mao, Brent Wagner, Benjamin H McMahon, Curt H Hagedorn

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 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
0.2field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

8 authors at 3 institutions in 1 country.

Glen H MurataResearch Service, New Mexico VA Health Care System, Albuquerque, New Mexico, USA.ORCID 0000-0001-8067-8281
Allison E MurataClinical Research Pharmacy Coordinating Center, VHA Cooperative Studies Program, Albuquerque, New Mexico, USA.
Douglas J PerkinsCenter for Global Health, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA.
Heather M CampbellClinical Research Pharmacy Coordinating Center, VHA Cooperative Studies Program, Albuquerque, New Mexico, USA.
Jenny T MaoMedicine Service, New Mexico VA Health Care System, Albuquerque, New Mexico, USA.
Brent WagnerResearch Service, New Mexico VA Health Care System, Albuquerque, New Mexico, USA brent.wagner@va.gov.
Benjamin H McMahonTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, USA.
Curt H HagedornMedicine Service, New Mexico VA Health Care System, Albuquerque, New Mexico, USA.
New Mexico VA Health Care System · USUniversity of New Mexico · USLos Alamos National Laboratory · US

Funding

UNM HSC Clinical and Translational Science CenterUL1TR001449 · NCATS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI CAMPEN, MATTHEW J, PANDHI, NANCY · 2015 to 2024
$36.9M
Unfolded Protein Response and Autophagy in T Helper Cell Effector FunctionP20GM121176 · NIGMS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI June Bryan de la Pena · 2017 to 2026
$24.9M
University of New Mexico Center for Metals in Biology and Medicine - equipment supplementP20GM130422 · NIGMS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Matthew J Campen · 2020 to 2026
$20.4M
Temporal Transcriptomics in Hospitalized COVID-19 Patients from Disparately Impacted Ancestral Groups for Therapeutic DiscoveryR01AI160662 · NIAID · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI PERKINS, DOUGLAS JAY · 2021 to 2023
$2.3M
Chemokine Receptors in MRI Contrast-Induced Organ FibrosisR01DK102085 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI WAGNER, BRENT · 2014 to 2017
$1.2M
Fibrocyte Contribution to Systemic Fibrosis in Chronic Kidney DiseaseI01BX001958 · VA · SOUTH TEXAS VETERANS HEALTH CARE SYSTEM · PI WAGNER, BRENT · 2014 to 2017
–
BLRD VA I01 BX001958NCATS NIH HHS UL1 TR001449NIAID NIH HHS R01 AI160662NIDDK NIH HHS R01 DK102085NIGMS NIH HHS P20 GM121176NIGMS NIH HHS P20 GM130422
6 · The paper itself

Abstract

objectivesTo evaluate the benefits of vaccination on the case fatality rate (CFR) for COVID-19 infections. DESIGN, SETTING AND

participantsThe US Department of Veterans Affairs has 130 medical centres. We created multivariate models from these data-339 772 patients with COVID-19-as of 30 September 2021. OUTCOME MEASURES: The primary outcome for all models was death within 60 days of the diagnosis. Logistic regression was used to derive adjusted ORs for vaccination and infection with Delta versus earlier variants. Models were adjusted for confounding factors, including demographics, comorbidity indices and novel parameters representing prior diagnoses, vital signs/baseline laboratory tests and outpatient treatments. Patients with a Delta infection were divided into eight cohorts based on the time from vaccination to diagnosis. A common model was used to estimate the odds of death associated with vaccination for each cohort relative to that of unvaccinated patients.

results9.1% of subjects were vaccinated. 21.5% had the Delta variant. 18 120 patients (5.33%) died within 60 days of their diagnoses. The adjusted OR for a Delta infection was 1.87±0.05, which corresponds to a relative risk (RR) of 1.78. The overall adjusted OR for prior vaccination was 0.280±0.011 corresponding to an RR of 0.291. Raw CFR rose steadily after 10-14 weeks. The OR for vaccination remained stable for 10-34 weeks.

conclusionsOur CFR model controls for the severity of confounding factors and priority of vaccination, rather than solely using the presence of comorbidities. Our results confirm that Delta was more lethal than earlier variants and that vaccination is an effective means of preventing death. After adjusting for major selection biases, we found no evidence that the benefits of vaccination on CFR declined over 34 weeks. We suggest that this model can be used to evaluate vaccines designed for emerging variants.

Indexed as

COVID-19Hepatitis DVeteransHumansSARS-CoV-2VaccinationCOVID-19preventive medicinestatistics & research methods

Identifiers

PMID36564105
PMCPMC9791110
OpenAlexW4312107366

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.