Evidence map›Paper›PMID 37766201›Full record

ArticleViruses2023

Predictors of SARS-CoV-2 Infection and Severe and Lethal COVID-19 after Three Years of Follow-Up: A Population-Wide Study.

Maria Elena Flacco, Cecilia Acuti Martellucci, Graziella Soldato, Giuseppe Di Martino, Annalisa Rosso, Roberto Carota, Marco De Benedictis, Graziano Di Marco, Rossano Di Luzio, Matteo Ricci and 3 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Human brain matters: Navigating the neuropathology of COVID-19.Brain pathology (Zurich, Switzerland) · 2026
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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

13 authors at 3 institutions in 1 country.

Maria Elena FlaccoDepartment of Environmental and Preventive Sciences, University of Ferrara, 44121 Ferrara, Italy.ORCID 0000-0003-1404-4314
Cecilia Acuti MartellucciDepartment of Environmental and Preventive Sciences, University of Ferrara, 44121 Ferrara, Italy.ORCID 0000-0002-4308-2144
Graziella SoldatoLocal Health Unit of Pescara, 65124 Pescara, Italy.
Giuseppe Di MartinoLocal Health Unit of Pescara, 65124 Pescara, Italy.ORCID 0000-0001-7047-7611
Annalisa RossoDepartment of Environmental and Preventive Sciences, University of Ferrara, 44121 Ferrara, Italy.ORCID 0000-0002-0537-5130
Roberto CarotaLocal Health Unit of Pescara, 65124 Pescara, Italy.
Marco De BenedictisLocal Health Unit of Pescara, 65124 Pescara, Italy.
Graziano Di MarcoLocal Health Unit of Pescara, 65124 Pescara, Italy.
Rossano Di LuzioLocal Health Unit of Pescara, 65124 Pescara, Italy.
Matteo RicciDepartment of Medical and Surgical Sciences, University of Bologna, 40100 Bologna, Italy.ORCID 0000-0002-7165-2407
Antonio CaponettiLocal Health Unit of Pescara, 65124 Pescara, Italy.
Davide GoriDepartment of Medical and Surgical Sciences, University of Bologna, 40100 Bologna, Italy.ORCID 0000-0003-4954-9419
Lamberto ManzoliDepartment of Medical and Surgical Sciences, University of Bologna, 40100 Bologna, Italy.ORCID 0000-0002-8129-9344
Azienda USL di Pescara · ITUniversity of Bologna · ITUniversity of Ferrara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this cohort study, the general population of an Italian Province was followed for three years after the start of the pandemic, in order to identify the predictors of SARS-CoV-2 infection and severe or lethal COVID-19. All the National Healthcare System information on biographical records, vaccinations, SARS-CoV-2 swabs, COVID-19 cases, hospitalizations and co-pay exemptions were extracted from 25 February 2020 to 15 February 2023. Cox proportional hazard analysis was used to compute the relative hazards of infection and severe or lethal COVID-19, adjusting for age, gender, vaccine status, hypertension, diabetes, major cardiovascular diseases (CVD), chronic obstructive pulmonary disease (COPD), kidney disease or cancer. Among the 300,079 residents or domiciled citizens, 41.5% had ≥1 positive swabs during the follow-up (which lasted a mean of 932 days). A total of 3.67% of the infected individuals experienced severe COVID-19 (

Indexed as

COVID-19AdolescentAdultAgedAged, 80 and overComorbidityFemaleFollow-Up StudiesHospitalizationHumansItalyMaleMiddle AgedRisk FactorsSARS-CoV-2Severity of Illness Indexcohort studyCOVID-19Italypredictorsrisk factorsSARS-CoV-2

Identifiers

PMID37766201
PMCPMC10534678
OpenAlexW4386135288

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.