Evidence map›Paper›PMID 36863972›Full record

ArticleThe American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry2023

Predictors of COVID-19 Outcomes Among Residents of Swedish Long-Term Care Facilities-A Nationwide Study of the Year 2020.

Jenna Najar, Rasmus Broms, Marina Nistotskaya, Carl Dahlström

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Observational
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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

4 authors at 2 institutions in 1 country.

Jenna NajarNeuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry (JN), Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AGECAP), University of Gothenburg, Gothenburg, Sweden; Region Västra Götaland (JN), Sahlgrenska University Hospital, Psychiatry Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden; Department of Political Science (RM, MN, CD), The Quality of Government Institute, University of Gothenburg, Gothenburg, Sweden. Electronic address: jenna.najar@gu.se.
Rasmus BromsNeuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry (JN), Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AGECAP), University of Gothenburg, Gothenburg, Sweden; Region Västra Götaland (JN), Sahlgrenska University Hospital, Psychiatry Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden; Department of Political Science (RM, MN, CD), The Quality of Government Institute, University of Gothenburg, Gothenburg, Sweden.
Marina NistotskayaNeuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry (JN), Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AGECAP), University of Gothenburg, Gothenburg, Sweden; Region Västra Götaland (JN), Sahlgrenska University Hospital, Psychiatry Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden; Department of Political Science (RM, MN, CD), The Quality of Government Institute, University of Gothenburg, Gothenburg, Sweden.
Carl DahlströmNeuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry (JN), Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AGECAP), University of Gothenburg, Gothenburg, Sweden; Region Västra Götaland (JN), Sahlgrenska University Hospital, Psychiatry Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden; Department of Political Science (RM, MN, CD), The Quality of Government Institute, University of Gothenburg, Gothenburg, Sweden.
Sahlgrenska University Hospital · SEUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe analyzed predictors of SARS-CoV-2 infection and COVID-19 death among residents of long-term care facilities (LTCFs) in Sweden for the pandemic year 2020 and its different waves.

methodsThe study included 99% of Swedish LTCF residents (N = 82,488). Information on COVID-19 outcomes, sociodemographic factors, and comorbidities were obtained from Swedish registers. Fully adjusted Cox regression models were used to analyze predictors of COVID-19 infection and death.

resultsFor the entirety of 2020, age, male sex, dementia, cardiovascular-, lung-, and kidney disease, hypertension, and diabetes mellitus were predictors of COVID-19 infection and death. During 2020 and the two waves, dementia remained the strongest predictor of COVID-19 outcomes, with the strongest effect on death being among those aged 65-75 years.

conclusionDementia emerged as a consistent and potent predictor of COVID-19 death among Swedish residents of LTCFs in 2020. These results provide important information on predictors associated with negative COVID-19 outcomes.

Indexed as

COVID-19DementiaHumansLong-Term CareMaleSARS-CoV-2SwedenCOVID-19DementiaLongitudinal studyLong-term care facilitiesRisk factors

Identifiers

PMID36863972
PMCPMC9907792
OpenAlexW4319460167

What OpenQuestion holds

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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.