Evidence map›Paper›PMID 37426952›Full record

ArticleOpen forum infectious diseases2023

Long COVID Clinical Phenotypes up to 6 Months After Infection Identified by Latent Class Analysis of Self-Reported Symptoms.

Michael Gottlieb, Erica S Spatz, Huihui Yu, Lauren E Wisk, Joann G Elmore, Nicole L Gentile, Mandy Hill, Ryan M Huebinger, Ahamed H Idris, Efrat R Kean and 15 more

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Neurodegenerative and Cognitive Consequences of Long COVID.International journal of molecular sciences · 2026
    Review
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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

25 authors.

Michael GottliebDepartment of Emergency Medicine, Rush University Medical Center, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0003-3276-8375
Erica S SpatzSection of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Huihui YuSection of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Lauren E WiskDivision of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA.ORCID https://orcid.org/0000-0003-2932-4140
Joann G ElmoreDivision of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA.ORCID https://orcid.org/0000-0002-7311-6835
Nicole L GentilePost-COVID Rehabilitation and Recovery Clinic, Department of Family Medicine, Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.ORCID https://orcid.org/0000-0002-9548-7012
Mandy HillDepartment of Emergency Medicine, UTHealth, Houston, Texas, USA.ORCID https://orcid.org/0000-0001-9778-358X
Ryan M HuebingerDepartment of Emergency Medicine, UTHealth, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-9448-5744
Ahamed H IdrisDepartment of Emergency Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0001-7113-6499
Efrat R KeanDepartment of Emergency Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Katherine KooDepartment of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA.
Shu-Xia LiYale Center for Outcomes Research and Evaluation, Yale School of Medicine, New Haven, Connecticut, USA.
Samuel McDonaldDepartment of Emergency Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0002-8383-3854
Juan Carlos C MontoyDepartment of Emergency Medicine, University of California, San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0001-7438-0243
Graham NicholDepartments of Medicine and Emergency Medicine, University of Washington, Seattle, Washington, USA.
Kelli N O'LaughlinDepartments of Emergency Medicine and Global Health, University of Washington, Seattle, Washington, USA.
Ian D PlumbNational Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0003-4747-381X
Kristin L RisingDepartment of Emergency Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-3882-4956
Michelle SantangeloDepartment of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA.
Sharon SaydahNational Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Ralph C WangDepartment of Emergency Medicine, University of California, San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0001-5382-9486
Arjun VenkateshYale Center for Outcomes Research and Evaluation, Yale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-8248-0567
Kari A StephensDepartments of Family Medicine, Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA.
Robert A WeinsteinDivision of Infectious Diseases, Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-3390-858X
INSPIRE Group

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Background: The prevalence, incidence, and interrelationships of persistent symptoms after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection vary. There are limited data on specific phenotypes of persistent symptoms. Using latent class analysis (LCA) modeling, we sought to identify whether specific phenotypes of COVID-19 were present 3 months and 6 months post-infection. Methods: This was a multicenter study of symptomatic adults tested for SARS-CoV-2 with prospectively collected data on general symptoms and fatigue-related symptoms up to 6 months postdiagnosis. Using LCA, we identified symptomatically homogenous groups among COVID-positive and COVID-negative participants at each time period for both general and fatigue-related symptoms. Results: Among 5963 baseline participants (4504 COVID-positive and 1459 COVID-negative), 4056 had 3-month and 2856 had 6-month data at the time of analysis. We identified 4 distinct phenotypes of post-COVID conditions (PCCs) at 3 and 6 months for both general and fatigue-related symptoms; minimal-symptom groups represented 70% of participants at 3 and 6 months. When compared with the COVID-negative cohort, COVID-positive participants had higher occurrence of loss of taste/smell and cognition problems. There was substantial class-switching over time; those in 1 symptom class at 3 months were equally likely to remain or enter a new phenotype at 6 months. Conclusions: We identified distinct classes of PCC phenotypes for general and fatigue-related symptoms. Most participants had minimal or no symptoms at 3 and 6 months of follow-up. Significant proportions of participants changed symptom groups over time, suggesting that symptoms present during the acute illness may differ from prolonged symptoms and that PCCs may have a more dynamic nature than previously recognized.

Indexed as

clusterCOVID-19Long COVIDphenotypeSARS-CoV-2

Identifiers

PMID37426952
PMCPMC10327879

What OpenQuestion holds

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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.