Evidence map›Paper›PMID 38904142›Full record

ArticleBMJ open2024

Cohort profile: the Johns Hopkins COVID Long Study (JHCLS)-a US nationwide prospective cohort study.

Eryka Wentz, Zhanmo Ni, Karine Yenokyan, Candelaria Vergara, Jessica Pahwa, Thea Kammerling, Pu Xiao, Priya Duggal, Bryan Lau, Shruti H Mehta

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Eryka WentzEpidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA ewentz1@jhu.edu.ORCID 0000-0002-9056-0436
Zhanmo NiOncology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Karine YenokyanEpidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Candelaria VergaraEpidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Jessica PahwaOral Health Sciences, Temple University Maurice H. Kornberg School of Dentistry, Philadelphia, Pennsylvania, USA.
Thea KammerlingEpidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Pu XiaoData Science, Johns Hopkins University Whiting School of Engineering, Baltimore, Maryland, USA.
Priya DuggalEpidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Bryan LauEpidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Shruti H MehtaEpidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Anna Palmer Durbin · 2012 to 2026
$67.0M
NIAID NIH HHS P30 AI094189
6 · The paper itself

Abstract

purposeCOVID-19 continues to affect millions of individuals worldwide, both in the short and long term. The post-acute complications of SARS-CoV-2 infection, referred to as long COVID, result in diverse symptoms affecting multiple organ systems. Little is known regarding how the symptoms associated with long COVID progress and resolve over time. The Johns Hopkins COVID Long Study aims to prospectively examine the short-term and long-term consequences of COVID-19 in individuals both with and without a history of SARS-CoV-2 infection using self-reported data collected in an online survey.

participants16 764 adults with a history of SARS-CoV-2 infection and 799 adults without a history of SARS-CoV-2 infection who completed an online baseline survey. FINDINGS TO DATE: This cohort profile describes the baseline characteristics of the Johns Hopkins COVID Long Study. Among 16 764 participants with a history of SARS-CoV-2 infection and defined long COVID status, 75% reported a very good or excellent health status prior to infection, 99% reported experiencing at least one COVID-19 symptom during the acute phase of infection, 9.9% reported hospitalisation and 63% were defined as having long COVID using the WHO definition. FUTURE PLANS: Analysis of longitudinal data will be used to investigate the progression and resolution of long COVID symptoms over time.

Indexed as

COVID-19Post-Acute COVID-19 SyndromeSARS-CoV-2AdultAgedFemaleHealth StatusHospitalizationHumansMaleMiddle AgedProspective StudiesSelf ReportUnited StatesYoung AdultChronic DiseaseCOVID-19EPIDEMIOLOGIC STUDIESINFECTIOUS DISEASES

Identifiers

PMID38904142
PMCPMC11191784

What OpenQuestion holds

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LicenceCC BY-NC
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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.