Evidence map›Paper›PMID 34018483›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2021

Epidemiological characteristics and outcomes of COVID-19 cases: mortality inequalities by socio-economic status, Barcelona, Spain, 24 February to 4 May 2020.

Julieta Politi, Mario Martín-Sánchez, Lilas Mercuriali, Blanca Borras-Bermejo, Joaquín Lopez-Contreras, Anna Vilella, Judit Villar, COVID-19 Surveillance Working Group of Barcelona, Angels Orcau, Patricia Garcia de Olalla and 1 more

Abstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–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

25 citing papers in PubMed.

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  7. Variability in excess deaths across countries with different vulnerability during 2020-2023.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

11 authors.

Julieta PolitiEpidemiology Service, Public Health Agency of Barcelona (PHAB), Barcelona, Spain.
Mario Martín-SánchezEpidemiology Service, Public Health Agency of Barcelona (PHAB), Barcelona, Spain.
Lilas MercurialiEpidemiology Service, Public Health Agency of Barcelona (PHAB), Barcelona, Spain.
Blanca Borras-BermejoDepartment of Preventive Medicine and Epidemiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.
Joaquín Lopez-ContrerasInfectious Diseases-Internal Medicine, Hospital de Sant Pau-Universitat Autònoma de Barcelona, Barcelona, Spain.
Anna VilellaPreventive Medicine and Epidemiology Department, Hospital Clínic, Barcelona, Spain.
Judit VillarService of Infectious Diseases, Hospital del Mar, Barcelona, Spain.
COVID-19 Surveillance Working Group of BarcelonaMembers are listed under Investigators.
Angels OrcauEpidemiology Service, Public Health Agency of Barcelona (PHAB), Barcelona, Spain.
Patricia Garcia de OlallaEpidemiology Service, Public Health Agency of Barcelona (PHAB), Barcelona, Spain.
Cristina RiusEpidemiology Service, Public Health Agency of Barcelona (PHAB), Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundPopulation-based studies characterising outcomes of COVID-19 in European settings are limited, and effects of socio-economic status (SES) on outcomes have not been widely investigated. AimWe describe the epidemiological characteristics of COVID-19 cases, highlighting incidence and mortality rate differences across SES during the first wave in Barcelona, Catalonia, Spain.MethodsThis population-based study reports individual-level data of laboratory-confirmed COVID-19 cases diagnosed from 24 February to 4 May 2020, notified to the Public Health Agency of Barcelona and followed until 15 June 2020. We analysed end-of-study vital status and the effects of chronic conditions on mortality using logistic regression. Geocoded addresses were linked to basic health area SES data, estimated using the composed socio-economic index. We estimated age-standardised incidence, hospitalisation, and mortality rates by SES.ResultsOf 15,554 COVID-19-confirmed cases, the majority were women (n = 9,028; 58%), median age was 63 years (interquartile range: 46-83), 8,046 (54%) required hospitalisation, and 2,287 (15%) cases died. Prevalence of chronic conditions varied across SES, and multiple chronic conditions increased risk of death (≥ 3, adjusted odds ratio: 2.3). Age-standardised rates (incidence, hospitalisation, mortality) were highest in the most deprived SES quartile (incidence: 1,011 (95% confidence interval (CI): 975-1,047); hospitalisation: 619 (95% CI: 591-648); mortality: 150 (95% CI: 136-165)) and lowest in the most affluent (incidence: 784 (95% CI: 759-809); hospitalisation: 400 (95% CI: 382-418); mortality: 121 (95% CI: 112-131)).ConclusionsCOVID-19 outcomes varied markedly across SES, underscoring the need to implement effective preventive strategies for vulnerable populations.

Indexed as

COVID-19Economic StatusFemaleHumansIncidenceMaleMiddle AgedSARS-CoV-2Socioeconomic FactorsSpainepidemiologyhealth inequalitiesmortalitySARS-CoV-2socio-economic statussurveillance

Identifiers

PMID34018483
PMCPMC8138960

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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.