Evidence map›Paper›PMID 41282682›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Natural History of Self-reported Symptoms Following SARS-CoV-2 Infection: A Target Trial Emulation in a Prospective Community-Based Cohort.

Yanhan Shen, Zach Shahn, McKaylee M Robertson, Kelly Gebo, Denis Nash, CHASING COVID Cohort Study Team

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Yanhan ShenInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York, NY, USA.
Zach ShahnInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York, NY, USA.
McKaylee M RobertsonInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York, NY, USA.ORCID 0000-0002-8426-6572
Kelly GeboDepartment of Medicine, Johns Hopkins University; Baltimore, MD, USA.
Denis NashInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York, NY, USA.
CHASING COVID Cohort Study Team

Funding

Following a U.S. National Cohort of Vulnerable Men to Improve HIV Prevention and CareUH3AI133675 · NIAID · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI GROV, CHRISTIAN · 2019 to 2021
$6.9M
NIAID NIH HHS UH3 AI133675
6 · The paper itself

Abstract

Background: The natural history of symptoms after SARS-CoV-2 infection remains uncertain because many studies are non-representative, ignore background symptom prevalence, lack longitudinal tracking, and omit appropriate controls. Using a prospective, community-based cohort with repeated symptom measures, we estimated post-infection risks of long COVID symptoms versus contemporaneous uninfected controls. Methods: We analyzed the CHASING COVID Cohort, a U.S. longitudinal study with surveys and serology (March 2020-December 2023). Infection status (January 2021-December 2022) was determined from self-reported PCR/antigen results, serology, or CSTE probable criteria. We emulated 24 monthly target trials comparing individuals newly infected at time zero with those remaining uninfected. Outcomes were new-onset long-COVID symptoms not reported pre-infection, assessed overall and within three clusters (neurological, autonomic, exercise intolerance) at 4-8 and 9-12 months post-infection. Inverse probability of treatment and censoring weights adjusted for confounding and informative loss to follow-up. Results: The analysis included 1,055 infected and 52,310 uninfected person-trials. At 4-8 months, the adjusted risk of any long-COVID symptom was 22.6% (95% CI, 20.5-24.8) among infected versus 11.3% (11.1-11.5) among uninfected (adjusted risk difference [aRD], 11.3% [9.2-13.5]; adjusted risk ratio [aRR], 2.01 [1.81-2.20]). At 9-12 months, risks were 19.2% (17.0-21.3) vs 12.4% (12.2-12.7) (aRD, 6.7% [4.6-8.9]; aRR, 1.54 [1.37-1.72]). Across all three clusters, infected participants had consistently higher risks at both intervals. Conclusions: SARS-CoV-2 infection was associated with elevated risk of new-onset long-COVID symptoms persisting up to 12 months. Using a national community-based cohort, contemporaneous uninfected controls, and target-trial emulation clarifies the burden attributable to infection and supports ongoing surveillance and targeted prevention and care.

Indexed as

longitudinalnatural historySARS-CoV-2symptomstarget trial emulation

Identifiers

PMID41282682
PMCPMC12637801

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.