Evidence map›Paper›PMID 39543596›Full record

ArticleBMC medicine2024

Symptom profile, case and symptom clustering, clinical and demographic characteristics of a multicentre cohort of 1297 patients evaluated for Long-COVID.

Marco Floridia, Marina Giuliano, Liliana Elena Weimer, Maria Rosa Ciardi, Piergiuseppe Agostoni, Paolo Palange, Patrizia Rovere Querini, Silvia Zucco, Matteo Tosato, Aldo Lo Forte and 9 more

Abstract readMulticenter Study
In one paragraph

Article in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Physical impairments in individuals with Long COVID.Frontiers in sports and active living · 2025
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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

19 authors.

Marco FloridiaNational Center for Global Health, Istituto Superiore Di Sanità, Rome, Italy. marco.floridia@iss.it.ORCID 0000-0003-3971-0141
Marina GiulianoNational Center for Global Health, Istituto Superiore Di Sanità, Rome, Italy.
Liliana Elena WeimerNational Center for Global Health, Istituto Superiore Di Sanità, Rome, Italy.
Maria Rosa CiardiDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Piergiuseppe AgostoniCentro Cardiologico Monzino, IRCCS, Milan, Italy.
Paolo PalangeDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Patrizia Rovere QueriniIRCCS Ospedale S. Raffaele, Milan, Italy.
Silvia ZuccoInfectious Disaese Unit, Ospedale Amedeo Di Savoia, Turin, Italy.
Matteo TosatoFondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Aldo Lo ForteDepartment of Multidimensional Medicine, Internal Medicine Unit, San Giovanni Di Dio Hospital, Florence, Italy.
Paolo BonfantiInfectious Diseases Unit, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy.
Donato LacedoniaDepartment of Medical and Surgical Sciences, University of Foggia, Foggia, Italy.
Emanuela BarisioneIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Stefano FigliozziIRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
Paola AndreozziPredictive Medicine Unit, Department of Internal Medicine, Endocrine-Metabolic Sciences and Infectious Diseases, Azienda Ospedaliero Universitaria Policlinico Umberto I, Rome, Italy.
Cecilia DamianoDepartment of Cardiovascular, Endocrine-Metabolic Diseases and Ageing, Istituto Superiore Di Sanità, Rome, Italy.
Flavia PricciDepartment of Cardiovascular, Endocrine-Metabolic Diseases and Ageing, Istituto Superiore Di Sanità, Rome, Italy.
Graziano OnderFondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.
I. S. S. Long-COVID Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong-COVID symptoms remain incompletely defined due to a large heterogeneity in the populations studied, case definitions, and settings of care. The aim of this study was to assess, in patients accessing care for Long-COVID, the profile of symptoms reported, the possible clustering of symptoms and cases, the functional status compared to pre-infection, and the impact on working activity.

methodsMulticentre cohort study with a collection of both retrospective and prospective data. Demographics, comorbidities, severity and timing of acute COVID, subjective functional status, working activity and presence of 30 different symptoms were collected using a shortened version of the WHO Post COVID-19 Case Report Form. The impact on working activity was assessed in multivariable logistic regression models. Clustering of symptoms was analysed by hierarchical clustering and the clustering of cases by two-step automatic clustering.

resultsThe study evaluated 1297 individuals (51.5% women) from 30 clinical centres. Men and women had different profiles in terms of comorbidities, vaccination status, severity and timing of acute SARS-CoV-2 infection. Fatigue (55.9%) and dyspnea (47.2%) were the most frequent symptoms. Women reported more symptoms (3.6 vs. 3.1, p < 0.001), with a significantly higher prevalence of memory loss, difficult concentration, cough, palpitation or tachycardia, dermatological abnormalities, brain fog, headache and visual disturbances. Dyspnea was more common in men. In the cluster analysis of the 19 more common symptoms, five aggregations were found: four two-symptom clusters (smell and taste reduction; anxiety and depressed mood; joint pain or swelling and muscle pain; difficult concentration and memory loss) and one six-symptom cluster (brain fog, equilibrium/gait disturbances, headache, paresthesia, thoracic pain, and palpitations/tachycardia). In a multivariable analysis, headache, dyspnea, difficult concentration, disturbances of equilibrium or gait, visual disturbances and muscular pain were associated with reduced or interrupted working activity. Clustering of cases defined two clusters, with distinct characteristics in terms of phase and severity of acute infection, age, sex, number of comorbidities and symptom profile.

conclusionsThe findings provide further evidence that Long-COVID is a heterogeneous disease with manifestations that differ by sex, phase of the pandemic and severity of acute disease, and support the possibility that multiple pathways lead to different clinical manifestations.

Indexed as

DemographyPost-Acute COVID-19 SyndromeSymptom AssessmentAdultAgedCluster AnalysisCohort StudiesCOVID-19DyspneaFatigueFemaleHumansMaleMiddle AgedProspective StudiesRetrospective StudiesCOVID-19DyspneaFatigueLong-COVIDPost-COVIDSymptom clustersSymptoms

Identifiers

PMID39543596
PMCPMC11566432

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LicenceCC BY-NC-ND
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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.