Evidence map›Paper›PMID 36238713›Full record

ArticlemedRxiv : the preprint server for health sciences2022

Long COVID Risk and Pre-COVID Vaccination: An EHR-Based Cohort Study from the RECOVER Program.

M Daniel Brannock, Robert F Chew, Alexander J Preiss, Emily C Hadley, Julie A McMurry, Peter J Leese, Andrew T Girvin, Miles Crosskey, Andrea G Zhou, Richard A Moffitt and 5 more

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 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, 32 citations in OpenAlex.

  1. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 8 institutions in 1 country.

M Daniel BrannockRTI International, Durham, NC, US.
Robert F ChewRTI International, Durham, NC, US.
Alexander J PreissRTI International, Durham, NC, US.
Emily C HadleyRTI International, Durham, NC, US.
Julie A McMurryUniversity of Colorado Anschutz Medical Campus, Denver, CO, US.
Peter J LeeseUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, US.
Andrew T GirvinPalantir Technologies, Denver, CO, US.
Miles CrosskeyCoVar Applied Technologies, Durham, NC, US.
Andrea G ZhouUniversity of Virginia, Charlottesville, VA, US.
Richard A MoffittStony Brook University, Stony Brook, NY, US.
Michele Jonsson FunkUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, US.
Emily R PfaffUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, US.
Melissa A HaendelUniversity of Colorado Anschutz Medical Campus, Denver, CO, US.
Christopher G ChuteJohns Hopkins University, Baltimore, MD, US.
N3C and RECOVER Consortia
RTI International · USUniversity of North Carolina at Chapel Hill · USUniversity of Colorado Anschutz Medical Campus · USBD Technologie (United States) · USEPIR Technologies (United States) · USJohns Hopkins University · USStony Brook University · USUniversity of Virginia · US

Funding

OTA-21-015A Post-Acute Sequelae of SARS-CoV-2 Infection Initiative: NYU Langone Health Clinical Science Core, Data Resource Core, and PASC Biorepository CoreOT2HL161847 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GROSS, RACHEL SHARON, HORWITZ, LEORA · 2021 to 2025
$651.0M
Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
The integrated Translational Health Research Institute of Virginia (iTHRIV): Using Data to Improve HealthUL1TR003015 · NCATS · UNIVERSITY OF VIRGINIA · PI BROWN, DONALD E, JOHNSTON, KAREN C. · 2019 to 2023
$20.3M
NCATS NIH HHS UL1 TR003015NCATS NIH HHS UL1 TR003142NHLBI NIH HHS OT2 HL161847
6 · The paper itself

Abstract

Importance: Characterizing the effect of vaccination on long COVID allows for better healthcare recommendations. Objective: To determine if, and to what degree, vaccination prior to COVID-19 is associated with eventual long COVID onset, among those a documented COVID-19 infection. Design Settings and Participants: Retrospective cohort study of adults with evidence of COVID-19 between August 1, 2021 and January 31, 2022 based on electronic health records from eleven healthcare institutions taking part in the NIH Researching COVID to Enhance Recovery (RECOVER) Initiative, a project of the National Covid Cohort Collaborative (N3C). Exposures: Pre-COVID-19 receipt of a complete vaccine series versus no pre-COVID-19 vaccination. Main Outcomes and Measures: Two approaches to the identification of long COVID were used. In the clinical diagnosis cohort (n=47,752), ICD-10 diagnosis codes or evidence of a healthcare encounter at a long COVID clinic were used. In the model-based cohort (n=199,498), a computable phenotype was used. The association between pre-COVID vaccination and long COVID was estimated using IPTW-adjusted logistic regression and Cox proportional hazards. Results: In both cohorts, when adjusting for demographics and medical history, pre-COVID vaccination was associated with a reduced risk of long COVID (clinic-based cohort: HR, 0.66; 95% CI, 0.55-0.80; OR, 0.69; 95% CI, 0.59-0.82; model-based cohort: HR, 0.62; 95% CI, 0.56-0.69; OR, 0.70; 95% CI, 0.65-0.75). Conclusions and Relevance: Long COVID has become a central concern for public health experts. Prior studies have considered the effect of vaccination on the prevalence of future long COVID symptoms, but ours is the first to thoroughly characterize the association between vaccination and clinically diagnosed or computationally derived long COVID. Our results bolster the growing consensus that vaccines retain protective effects against long COVID even in breakthrough infections. Key Points:

Identifiers

PMID36238713
PMCPMC9558440
OpenAlexW4303444812

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.