Evidence map›Paper›PMID 33453109›Full record

ArticleQJM : monthly journal of the Association of Physicians2021

Why is COVID-19 more deadly to nursing home residents?

Z Su, D McDonnell, Y Li

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in QJM : monthly journal of the Association of Physicians, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
6.7field-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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  8. Observational
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  13. Validation of the Spanish Version of the Fear of COVID-19 Scale (FCV-19S) in Long-Term Care Settings.International journal of environmental research and public health · 2022
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  17. Mortality risk and antibiotic use for COVID-19 in hospitalized patients over 80.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Z SuCenter on Smart and Connected Health Technologies, Mays Cancer Center, School of Nursing, UT Health San Antonio, 7703 Floyd Curl Drive, San Antonio, Texas 78229, USA.ORCID 0000-0003-2005-9504
D McDonnellDepartment of Humanities, Institute of Technology, Kilkenny Road, Carlow, Ireland.ORCID 0000-0001-6043-8272
Y LiDepartment of Public Health Sciences, Division of Health Policy and Outcomes Research, University of Rochester Medical Center, 265 Crittenden Blvd., CU 420644, Rochester, New York, 14642, USA.
Institute of Technology Carlow · IEThe University of Texas Health Science Center at San Antonio · USUniversity of Rochester Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is deadly to older adults, with research showing that being older and having underlying chronic diseases are significant risk factors for COVID-19 related deaths. However, though similarities exist between both nursing home residents and older community-dwelling people, nursing home residents are substantially more vulnerable to COVID-19. A closer review of both demographic groups provides clarity concerning the difference within the context of COVID-19. Therefore, to address the research gap, drawing insights from Maslow's hierarchy of needs model, this article aims to examine similarities and differences in COVID-19 risk factors experienced by nursing home residents and community-dwelling older people.

Indexed as

COVID-19AgedHumansIndependent LivingNursing HomesRisk FactorsSARS-CoV-2

Identifiers

PMID33453109
PMCPMC7928659
OpenAlexW3122621501

What OpenQuestion holds

Textmetadata
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.