Evidence map›Paper›PMID 38485476›Full record

Observational studyBMJ open2024

Subphenotypes of self-reported symptoms and outcomes in long COVID: a prospective cohort study with latent class analysis.

Georgios D Kitsios, Shawna Blacka, Jana J Jacobs, Taaha Mirza, Asma Naqvi, Heather Gentry, Cathy Murray, Xiaohong Wang, Konstantin Golubykh, Hafiz Qurashi and 14 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.9field-weighted citation impact, top 3% of its field
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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Long COVID as an Infection-Associated Chronic Condition: Implications.American journal of health promotion : AJHP · 2025
    Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Article
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

24 authors at 3 institutions in 1 country.

Georgios D KitsiosDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA kitsiosg@upmc.edu.ORCID 0000-0002-1018-948X
Shawna BlackaDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Jana J JacobsDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Taaha MirzaInternal Medicine Residency Program, UPMC in Central Pa, Harrisburg, Pennsylvania, USA.
Asma NaqviDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Heather GentryDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Cathy MurrayDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Xiaohong WangDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Konstantin GolubykhInternal Medicine Residency Program, UPMC in Central Pa, Harrisburg, Pennsylvania, USA.
Hafiz QurashiDepartment of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Akash DodiaDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Michael RisbanoDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Michael BenignoPfizer Inc, New York, New York, USA.
Birol EmirPfizer Inc, New York, New York, USA.
Edward WeinsteinPfizer Inc, New York, New York, USA.
Candace BramsonPfizer Inc, New York, New York, USA.
Lili JiangPfizer Inc, New York, New York, USA.
Feng DaiPfizer Inc, New York, New York, USA.
Eva SzigethyDepartment of Psychiatry and Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-6783-581X
John W MellorsDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Barbara MetheDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Frank C SciurbaDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-7468-2225
Seyed Mehdi NouraieDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-7465-0581
Alison MorrisDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
University of Pittsburgh · USPfizer (United States) · USUPMC Central Pa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo characterise subphenotypes of self-reported symptoms and outcomes (SRSOs) in postacute sequelae of COVID-19 (PASC).

designProspective, observational cohort study of subjects with PASC.

settingAcademic tertiary centre from five clinical referral sources.

participantsAdults with COVID-19 ≥20 days before enrolment and presence of any new self-reported symptoms following COVID-19. EXPOSURES: We collected data on clinical variables and SRSOs via structured telephone interviews and performed standardised assessments with validated clinical numerical scales to capture psychological symptoms, neurocognitive functioning and cardiopulmonary function. We collected saliva and stool samples for quantification of SARS-CoV-2 RNA via quantitative PCR. OUTCOMES MEASURES: Description of PASC SRSOs burden and duration, derivation of distinct PASC subphenotypes via latent class analysis (LCA) and relationship with viral load.

resultsWe analysed baseline data for 214 individuals with a study visit at a median of 197.5 days after COVID-19 diagnosis. Participants reported ever having a median of 9/16 symptoms (IQR 6-11) after acute COVID-19, with muscle-aches, dyspnoea and headache being the most common. Fatigue, cognitive impairment and dyspnoea were experienced for a longer time. Participants had a lower burden of active symptoms (median 3 (1-6)) than those ever experienced (p<0.001). Unsupervised LCA of symptoms revealed three clinically active PASC subphenotypes: a high burden constitutional symptoms (21.9%), a persistent loss/change of smell and taste (20.6%) and a minimal residual symptoms subphenotype (57.5%). Subphenotype assignments were strongly associated with self-assessments of global health, recovery and PASC impact on employment (p<0.001) as well as referral source for enrolment. Viral persistence (5.6% saliva and 1% stool samples positive) did not explain SRSOs or subphenotypes.

conclusionsWe identified three distinct PASC subphenotypes. We highlight that although most symptoms progressively resolve, specific PASC subpopulations are impacted by either high burden of constitutional symptoms or persistent olfactory/gustatory dysfunction, requiring prospective identification and targeted preventive or therapeutic interventions.

Indexed as

COVID-19Post-Acute COVID-19 SyndromeAdultCOVID-19 TestingDisease ProgressionDyspneaHumansLatent Class AnalysisProspective StudiesRNA, ViralSARS-CoV-2Self ReportRNA, ViralCOVID-19respiratory infectionsvirology

Identifiers

PMID38485476
PMCPMC10941166
OpenAlexW4392866798

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.