Evidence map›Paper›PMID 36523412›Full record

ArticlemedRxiv : the preprint server for health sciences2022

Factors Associated with Long Covid Symptoms in an Online Cohort Study.

Matthew S Durstenfeld, Michael J Peluso, Noah D Peyser, Feng Lin, Sara J Knight, Audrey Djibo, Rasha Khatib, Heather Kitzman, Emily O'Brien, Natasha Williams and 7 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 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 7 institutions in 2 countries.

Matthew S DurstenfeldDivision of Cardiology at ZSFG and Department of Medicine, UCSF.
Michael J PelusoDivision of HIV, Infectious Disease, & Global Medicine, UCSF.
Noah D PeyserDivision of Cardiology, Department of Medicine, UCSF.
Feng LinDepartment of Epidemiology and Biostatistics, UCSF.
Sara J KnightDivision of Epidemiology, Department of Internal Medicine, University of Utah.
Audrey DjiboCVS Health Clinical Trial Services.
Rasha KhatibAdvocate Aurora Research Institute.
Heather KitzmanBaylor Scott and White Health and Wellness Center.
Emily O'BrienDepartment of Population Health Sciences, Duke University School of Medicine.
Natasha WilliamsInstitute for Excellence in Health Equity, Center for Healthful Behavior Change, NYU Grossman School of Medicine.
Carmen IsasiDepartment of Epidemiology & Population Health, Albert Einstein College of Medicine.
John KornakDepartment of Epidemiology and Biostatistics, UCSF.
Thomas W CartonLouisiana Public Health Institute.
Jeffrey E OlginDivision of Cardiology, Department of Medicine, UCSF.
Mark J PletcherDepartment of Epidemiology and Biostatistics, UCSF.
Gregory M MarcusDivision of Cardiology, Department of Medicine, UCSF.
Alexis L BeattyDivision of Cardiology, Department of Medicine, UCSF.
Universidad Católica de Santa Fe · ARAlbert Einstein College of Medicine · USBaylor Scott & White Health · USCVS Health (United States) · USDuke University · USLouisiana Public Health Institute · USUniversity of Utah · US

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
The Health ePeople Resource for Mobilized ResearchU2CEB021881 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARCUS, GREGORY M, OLGIN, JEFFREY E · 2015 to 2020
$10.3M
UCSF Career Development Program in Cardiopulmonary, Hematologic, and Immunologic Comorbidities of HIV (CHIC)K12HL143961 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HSUE, PRISCILLA Y., HUANG, LAURENCE · 2018 to 2022
$1.8M
Characterizing the virologic and immunologic signatures of HIV exceptional controlK23AI157875 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PELUSO, MICHAEL JOSEPH · 2021 to 2025
$927k
Gates Foundation INV-017206NCATS NIH HHS UL1 TR002538NHLBI NIH HHS K12 HL143961NIAID NIH HHS K23 AI157875NIAID NIH HHS L30 AI147159NIBIB NIH HHS U2C EB021881
6 · The paper itself

Abstract

Importance: Prolonged symptoms following SARS-CoV-2 infection, or Long COVID, is common, but few prospective studies of Long COVID risk factors have been conducted. Objective: To determine whether sociodemographic factors, lifestyle, or medical history preceding COVID-19 or characteristics of acute SARS-CoV-2 infection are associated with Long COVID. Design: Cohort study with longitudinal assessment of symptoms before, during, and after SARS-CoV-2 infection, and cross-sectional assessment of Long COVID symptoms using data from the COVID-19 Citizen Science (CCS) study. Setting: CCS is an online cohort study that began enrolling March 26, 2020. We included data collected between March 26, 2020, and May 18, 2022. Participants: Adult CCS participants who reported a positive SARS-CoV-2 test result (PCR, Antigen, or Antibody) more than 30 days prior to May 4, 2022, were surveyed. Exposures: Age, sex, race/ethnicity, education, employment, socioeconomic status/financial insecurity, self-reported medical history, vaccination status, time of infection (variant wave), number of acute symptoms, pre-COVID depression, anxiety, alcohol and drug use, sleep, exercise. Main Outcome: Presence of at least 1 Long COVID symptom greater than 1 month after acute infection. Sensitivity analyses were performed considering only symptoms beyond 3 months and only severe symptoms. Results: 13,305 participants reported a SARS-CoV-2 positive test more than 30 days prior, 1480 (11.1% of eligible) responded to a survey about Long COVID symptoms, and 476 (32.2% of respondents) reported Long COVID symptoms (median 360 days after infection).Respondents' mean age was 53 and 1017 (69%) were female. Common Long COVID symptoms included fatigue, reported by 230/476 (48.3%), shortness of breath (109, 22.9%), confusion/brain fog (108, 22.7%), headache (103, 21.6%), and altered taste or smell (98, 20.6%). In multivariable models, number of acute COVID-19 symptoms (OR 1.30 per symptom, 95%CI 1.20-1.40), lower socioeconomic status/financial insecurity (OR 1.62, 95%CI 1.02-2.63), pre-infection depression (OR 1.08, 95%CI 1.01-1.16), and earlier variants (OR 0.37 for Omicron compared to ancestral strain, 95%CI 0.15-0.90) were associated with Long COVID symptoms. Conclusions and Relevance: Variant wave, severity of acute infection, lower socioeconomic status and pre-existing depression are associated with Long COVID symptoms. Key Points:

Identifiers

PMID36523412
PMCPMC9753782
OpenAlexW4311652429

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.