Evidence map›Paper›PMID 37231313›Full record

ArticleInfection2023

Persistent symptoms and risk factors predicting prolonged time to symptom-free after SARS‑CoV‑2 infection: an analysis of the baseline examination of the German COVIDOM/NAPKON-POP cohort.

Yanyan Shi, Ralf Strobl, Christian Apfelbacher, Thomas Bahmer, Ramsia Geisler, Peter Heuschmann, Anna Schäfer, Hanno Hoven, Thomas Keil, Michael Krawczak and 14 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Infection, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors at 17 institutions in 2 countries.

Yanyan ShiInstitute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, Ludwig-Maximilians-Universität München (LMU Munich), Marchioninistr. 15, 81377, Munich, Germany.
Ralf StroblInstitute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, Ludwig-Maximilians-Universität München (LMU Munich), Marchioninistr. 15, 81377, Munich, Germany.
Christian ApfelbacherInstitute of Social Medicine and Health Systems Research, Medical Faculty, Otto von Guericke University Magdeburg, Magdeburg, Germany.
Thomas BahmerInternal Medicine Department I, University Hospital Schleswig-Holstein Campus Kiel (UKSH Kiel), Kiel, Germany.
Ramsia GeislerDepartment II of Internal Medicine, Hematology/Oncology, Goethe University, Frankfurt, Frankfurt Am Main, Germany.
Peter HeuschmannInstitute for Clinical Epidemiology and Biometry, Julius-Maximilians-University, Würzburg, Würzburg, Germany.
Anna SchäferInstitute for Clinical Epidemiology and Biometry, Julius-Maximilians-University, Würzburg, Würzburg, Germany.
Hanno HovenInstitute for Occupational and Maritime Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Thomas KeilInstitute for Clinical Epidemiology and Biometry, Julius-Maximilians-University, Würzburg, Würzburg, Germany.
Michael KrawczakInstitute of Medical Informatics and Statistics, Kiel University, University Medical Center Schleswig-Holstein, Kiel, Germany.
Lilian KristInstitute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Christina LemhöferInstitute of Physical and Rehabilitation Medicine, University Hospital Jena, Jena, Germany.
Wolfgang LiebInstitute of Epidemiology, Kiel University, University Medical Center Schleswig-Holstein, Kiel, Germany.
Bettina Lorenz-DepiereuxResearch Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Center Munich, Munich, Germany.
Rafael MikolajczykInstitute for Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Felipe A MontellanoInstitute for Clinical Epidemiology and Biometry, Julius-Maximilians-University, Würzburg, Würzburg, Germany.
Jens Peter ReeseInstitute for Clinical Epidemiology and Biometry, Julius-Maximilians-University, Würzburg, Würzburg, Germany.
Stefan SchreiberInternal Medicine Department I, University Hospital Schleswig-Holstein Campus Kiel (UKSH Kiel), Kiel, Germany.
Nicole SkoetzEvidence-Based Medicine, Department I of Internal Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Stefan StörkDepartment of Clinical Research and Epidemiology, Comprehensive Heart Failure Center and Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany.
Jörg Janne VehreschildDepartment II of Internal Medicine, Hematology/Oncology, Goethe University, Frankfurt, Frankfurt Am Main, Germany.
Martin WitzenrathDepartment of Infectious Diseases, Respiratory Medicine and Critical Care, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Eva GrillInstitute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, Ludwig-Maximilians-Universität München (LMU Munich), Marchioninistr. 15, 81377, Munich, Germany. Eva.Grill@med.uni-muenchen.de.
NAPKON Study Group
Zimmer Biomet (Germany) · DEChristian-Albrechts-Universität zu Kiel · DEUniversity Hospital Schleswig-Holstein · DEGerman Center for Infection Research · DEGerman Center for Lung Research · DEUniversity of Cologne · DEGoethe University Frankfurt · DEJena University Hospital · DELudwig-Maximilians-Universität München · DEUniversitätsklinikum Würzburg · DECharité - Universitätsmedizin Berlin · DEHelmholtz Zentrum München · DEHumboldt-Universität zu Berlin · DEOtto-von-Guericke-Universität Magdeburg · DEZimmer Biomet (Netherlands) · NLHalle Institute for Economic Research · DEUniversität Hamburg · DE

Funding

China Scholarship Council 202108140048
6 · The paper itself

Abstract

purposeWe aimed to assess symptoms in patients after SARS-CoV-2 infection and to identify factors predicting prolonged time to symptom-free.

methodsCOVIDOM/NAPKON-POP is a population-based prospective cohort of adults whose first on-site visits were scheduled ≥ 6 months after a positive SARS-CoV-2 PCR test. Retrospective data including self-reported symptoms and time to symptom-free were collected during the survey before a site visit. In the survival analyses, being symptom-free served as the event and time to be symptom-free as the time variable. Data were visualized with Kaplan-Meier curves, differences were tested with log-rank tests. A stratified Cox proportional hazard model was used to estimate adjusted hazard ratios (aHRs) of predictors, with aHR < 1 indicating a longer time to symptom-free.

resultsOf 1175 symptomatic participants included in the present analysis, 636 (54.1%) reported persistent symptoms after 280 days (SD 68) post infection. 25% of participants were free from symptoms after 18 days [quartiles: 14, 21]. Factors associated with prolonged time to symptom-free were age 49-59 years compared to < 49 years (aHR 0.70, 95% CI 0.56-0.87), female sex (aHR 0.78, 95% CI 0.65-0.93), lower educational level (aHR 0.77, 95% CI 0.64-0.93), living with a partner (aHR 0.81, 95% CI 0.66-0.99), low resilience (aHR 0.65, 95% CI 0.47-0.90), steroid treatment (aHR 0.22, 95% CI 0.05-0.90) and no medication (aHR 0.74, 95% CI 0.62-0.89) during acute infection.

conclusionIn the studied population, COVID-19 symptoms had resolved in one-quarter of participants within 18 days, and in 34.5% within 28 days. Over half of the participants reported COVID-19-related symptoms 9 months after infection. Symptom persistence was predominantly determined by participant's characteristics that are difficult to modify.

Indexed as

COVID-19AdultFemaleHumansMiddle AgedProspective StudiesRetrospective StudiesRisk FactorsSARS-CoV-2COVID-19Long COVIDPost-COVID syndromeRisk factorsTime to symptom-free

Identifiers

PMID37231313
PMCPMC10212223
OpenAlexW4378211224

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.