Evidence map›Paper›PMID 35983269›Full record

ArticleOpen forum infectious diseases2022

Long COVID Symptomatology After 12 Months and Its Impact on Quality of Life According to Initial Coronavirus Disease 2019 Disease Severity.

Aurélie Fischer, Lu Zhang, Abir Elbéji, Paul Wilmes, Pauline Oustric, Therese Staub, Petr V Nazarov, Markus Ollert, Guy Fagherazzi

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 35 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 5 pooled it
6.2field-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.

NCT04380987 completednot on this map

Luxembourg Cohort of Positive Patients for COVID-19: a Stratification Study to Predict Patient Prognosis

TypeobservationalSponsorLuxembourg Institute of HealthRan2020 to 2024Enrolled1,366ConditionsCovid19ArmsBiological sampling
NCT05546918 completednot on this map

Users' Expectations and Co-design of a Digital Health Solution to Monitor Persisting Symptoms Related to COVID-19 Using Voice: a Mixed-methods Study

TypeobservationalSponsorLuxembourg Institute of HealthRan2022 to 2024Enrolled125ConditionsCOVID-19, Post-Acute COVID-19Armssurvey, interviews and focus groups
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 5 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Long-Term Consequences of Asymptomatic SARS-CoV-2 Infection: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2023
    Pooled it
  6. Trial
  7. Observational
  8. Article
  9. Article
  10. Ongoing Symptoms After Acute SARS-CoV-2 or Influenza Infection in a Case-Ascertained Household Transmission Study: 7 US Sites, 2021-2023.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

9 authors at 4 institutions in 2 countries.

Aurélie FischerDeep Digital Phenotyping Research Unit, Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.ORCID https://orcid.org/0000-0001-6500-0034
Lu ZhangBioinformatics Platform, Luxembourg Institute of Health, Strassen, Luxembourg.
Abir ElbéjiDeep Digital Phenotyping Research Unit, Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.
Paul WilmesLuxembourg Center for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.
Pauline OustricAssociation "Après J20", Lucé, France.
Therese StaubService National des Maladies Infectieuses, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg.
Petr V NazarovBioinformatics Platform, Luxembourg Institute of Health, Strassen, Luxembourg.ORCID https://orcid.org/0000-0003-3443-0298
Markus OllertDepartment of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg.
Guy FagherazziDeep Digital Phenotyping Research Unit, Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.ORCID https://orcid.org/0000-0001-5033-5966
Luxembourg Institute of Health · LUCentre Hospitalier de Luxembourg · LUUniversity of Luxembourg · LUUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: "Long COVID" is characterized by a variety of symptoms and an important burden for affected people. Our objective was to describe long COVID symptomatology according to initial coronavirus disease 2019 (COVID-19) severity. Methods: Predi-COVID cohort study participants, recruited at the time of acute COVID-19 infection, completed a detailed 12-month symptom and quality of life questionnaire. Frequencies and co-occurrences of symptoms were assessed. Results: Among the 289 participants who fully completed the 12-month questionnaire, 59.5% reported at least 1 symptom, with a median of 6 symptoms. Participants with an initial moderate or severe acute illness declared more frequently 1 or more symptoms (82.6% vs 38.6%, Conclusions: Frequencies and burden of symptoms present 12 months after acute COVID-19 infection increased with the severity of the acute illness. Long COVID likely consists of multiple subcategories rather than a single entity. This work will contribute to the better understanding of long COVID and to the definition of precision health strategies. Clinical Trials Registration: NCT04380987.

Indexed as

clusterCOVID-19long COVIDSARS-CoV-2severitysymptoms

Identifiers

PMID35983269
PMCPMC9379809
OpenAlexW4289939200

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.