Evidence map›Paper›PMID 37582909›Full record

ArticleNature communications2023

Inequalities in COVID-19 severe morbidity and mortality by country of birth in Sweden.

Mikael Rostila, Agneta Cederström, Matthew Wallace, Siddartha Aradhya, Malin Ahrne, Sol P Juárez

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 20 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Mikael RostilaDepartment of Public Health Sciences, Stockholm University, Stockholm, Sweden. mikael.rostila@su.se.ORCID http://orcid.org/0000-0002-6973-0381
Agneta CederströmDepartment of Public Health Sciences, Stockholm University, Stockholm, Sweden.
Matthew WallaceDemography Unit, Department of Sociology, Stockholm University, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-8318-7952
Siddartha AradhyaDemography Unit, Department of Sociology, Stockholm University, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-3748-6270
Malin AhrneDepartment of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
Sol P JuárezDepartment of Public Health Sciences, Stockholm University, Stockholm, Sweden.
Stockholm University · SEKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Migrants have been more affected by the COVID-19 pandemic. Whether this has varied over the course of the pandemic remains unknown. We examined how inequalities in intensive care unit (ICU) admission and death related to COVID-19 by country of birth have evolved over the course of the pandemic, while considering the contribution of social conditions and vaccination uptake. A population-based cohort study was conducted including adults living in Sweden between March 1, 2020 and June 1, 2022 (n = 7,870,441). Poisson regressions found that migrants from Africa, Middle East, Asia and European countries without EU28/EEA, UK and Switzerland had higher risk of COVID-19 mortality and ICU admission than Swedish-born. High risks of COVID-19 ICU admission was also found in migrants from South America. Inequalities were generally reduced through subsequent waves of the pandemic. In many migrant groups socioeconomic status and living conditions contributed to the disparities while vaccination campaigns were decisive when such became available.

Indexed as

COVID-19Transients and MigrantsAdultCohort StudiesHumansMorbidityPandemicsSweden

Identifiers

PMID37582909
PMCPMC10427621
OpenAlexW4385835903

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.