Evidence map›Paper›PMID 41628929›Full record

ArticleBMJ open2026

Prevalence of long covid symptoms in Tuscany, Italy: a population-representative cross-sectional telephone survey.

Mario Bruschi, Marco Del Riccio, Chiara Lorini, Francesco Profili, Patrizio Zanobini, Claudia Biagi, Emma Papini, Marco Floridia, Graziano Onder, Paolo Francesconi and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Mario BruschiDepartment of Territorial Health Network, Azienda USL Toscana centro, Florence, Tuscany, Italy mario.bruschi@uslcentro.toscana.it.ORCID http://orcid.org/0009-0008-9861-8891
Marco Del RiccioDepartment of Health Sciences, University of Florence, Florence, Tuscany, Italy.ORCID http://orcid.org/0000-0002-2742-0297
Chiara LoriniDepartment of Health Sciences, University of Florence, Florence, Tuscany, Italy.ORCID http://orcid.org/0000-0003-3170-1857
Francesco ProfiliAgenzia Regionale di Sanità della Toscana, Florence, Tuscany, Italy.
Patrizio ZanobiniDepartment of Health Sciences, University of Florence, Florence, Tuscany, Italy.
Claudia BiagiDepartment of Health Sciences, University of Florence, Florence, Tuscany, Italy.
Emma PapiniDepartment of Health Sciences, University of Florence, Florence, Tuscany, Italy.
Marco FloridiaIstituto Superiore di Sanità, Rome, Italy.
Graziano OnderFondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.
Paolo FrancesconiAgenzia Regionale di Sanità della Toscana, Florence, Tuscany, Italy.
Guglielmo BonaccorsiDepartment of Health Sciences, University of Florence, Florence, Tuscany, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLong covid affects over 36 million individuals in the European region, but its clinical profile is still poorly defined, particularly in the general population with less severe acute disease. This study aimed to assess the prevalence of a broad spectrum of symptoms potentially linked to long covid in the general population of Tuscany, Italy.

methodsA cross-sectional study was conducted in January-February 2024 using Computer-Assisted Telephone Interviews in a representative population sample of Tuscany. Based on the WHO questionnaire long covid symptom list, data on 33 symptoms experienced in the past 6 months were collected, along with demographic and clinical characteristics. After excluding patients with COVID-19 within the past 6 months and those failing a screening cognitive test, symptom prevalence and ORs adjusted for sex, time since infection, smoking and concurrent diseases (aOR) were calculated according to COVID-19 history.

resultsAfter excluding 129 failing the cognitive test (6.4%) and 123 recent COVID cases (6.1%), among 1753 participants interviewed, 1013 (57.8%) had a history of COVID-19. The symptoms significantly more prevalent in individuals with previous COVID-19 were fatigue (12.8% vs 8.9%, aOR 1.6 (95% CI 1.2 to 2.2)), concentration impairment (5.5% vs 2.4%, aOR 2.2 (95% CI 1.3 to 3.8)) and skin rashes (4.5% vs 2.4%, aOR 1.9 (95% CI 1.1 to 3.3)). Prevalences and ORs were higher in more recent COVID-19 cases, particularly females and individuals with concurrent diseases.

conclusionsWe identified in a population-based study some symptoms significantly more common in individuals with previous COVID-19. This approach complements data collected in clinical settings and in patients selected by greater disease severity. The findings may help future surveillance efforts and targeted public health interventions directed at optimising care pathways and mitigating long-term consequences.

Indexed as

COVID-19AdultAgedCross-Sectional StudiesFatigueFemaleHumansItalyMaleMiddle AgedPost-Acute COVID-19 SyndromePrevalenceSARS-CoV-2Surveys and QuestionnairesSymptom BurdenTelephoneCOVID-19EpidemiologyPost-Acute COVID-19 SyndromePost-Infectious DisordersPublic health

Identifiers

PMID41628929
PMCPMC12878196

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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.