Evidence map›Paper›PMID 38153142›Full record

Observational studyScandinavian journal of public health2024

Associations between the spread of COVID-19 and end-of-life circumstances in the non-infected population of Sweden.

Stefan Sennfält, Christel Hedman, Carl Johan Fürst

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Scandinavian journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 68% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

3 authors at 2 institutions in 1 country.

Stefan SennfältDepartment of Neurology, Karolinska University Hospital, Sweden.ORCID 0000-0002-7114-2757
Christel HedmanDepartment of Clinical Sciences, Lund University, Sweden.ORCID 0000-0003-4183-7598
Carl Johan FürstDepartment of Clinical Sciences, Lund University, Sweden.
Lund University · SEKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsSince its outbreak in 2020, the COVID-19 pandemic has directly caused the premature death of millions. However, indirect consequences, such as social restrictions, have affected a far greater number. We explored the association between the spread of COVID-19 and end-of-life circumstances in the infected and non-infected population in Sweden.

methodsIn this descriptive, population-based, observational study, we primarily used data from the Swedish National Registry of Palliative Care, which covers about 60% of all deaths in Sweden. We explored the association between the spread of COVID-19 and place of death, people present at death and end-of-life symptoms using regression analyses.

resultsThe study included 190,291 individuals who died in any region of Sweden from 1 January 2019 to 30 June 2022, of which 10,646 were COVID-19 cases. Correlated to the temporal and geographical spread of COVID-19, there was a greater proportion of individuals dying without the presence of their next-of-kin, and consequently more people dying alone, both in those with and without COVID-19. There was a similar pattern of a greater proportion of deaths taking place in nursing homes and in the individual's own home. However, we did not find substantial associations to reported symptoms, such as anxiety or confusion.

conclusions

Indexed as

COVID-19RegistriesTerminal CareAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedSwedenCOVID-19DeathLonelinessPalliative care

Identifiers

PMID38153142
PMCPMC11067408
OpenAlexW4390346494

What OpenQuestion holds

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LicenceCC BY
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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.