Evidence map›Paper›PMID 34249362›Full record

ArticleSAGE open medicine2021

COVID-19 and aging: Identifying measures of severity.

Maria Teresa Neves, Leonor Vasconcelos de Matos, Ana Carolina Vasques, Inês Egídio Sousa, Inês Ferreira, Susana Peres, Susana Jesus, Cândida Fonseca, Kamal Mansinho

Open access · goldAbstract read
In one paragraph

Article in SAGE open medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  3. Review
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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

9 authors at 2 institutions in 1 country.

Maria Teresa NevesDepartment of Medical Oncology Hospital São Francisco Xavier, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal.ORCID https://orcid.org/0000-0002-9891-8009
Leonor Vasconcelos de MatosDepartment of Medical Oncology Hospital São Francisco Xavier, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal.ORCID https://orcid.org/0000-0001-9568-238X
Ana Carolina VasquesDepartment of Medical Oncology Hospital São Francisco Xavier, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal.ORCID https://orcid.org/0000-0001-8985-4077
Inês Egídio SousaDepartment of Internal Medicine, Hospital São Francisco Xavier, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal.
Inês FerreiraDepartment of Internal Medicine, Hospital São Francisco Xavier, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal.
Susana PeresDepartment of Infectious Diseases, Hospital Egas Moniz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal.
Susana JesusDepartment of Internal Medicine, Hospital São Francisco Xavier, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal.
Cândida FonsecaDepartment of Internal Medicine, Hospital São Francisco Xavier, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal.
Kamal MansinhoDepartment of Infectious Diseases, Hospital Egas Moniz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal.
Centro Hospitalar de Lisboa Ocidental · PTHospital de Egas Moniz · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe aimed to compare clinical features of older age group and young and middle-aged patients with COVID-19 and analyze mortality predictors.

methodsRetrospective analysis of ongoing collection of prespecified data, on a single institution, including patients hospitalized consecutively due to COVID-19 infection, from March to June 2020.

resultsOf 195 patients, 56.9% were ⩾65 years (older age group). Older age group had multimorbidity (

conclusionOlder age group was at higher risk for complications and inhospital mortality. Identification of specific scores of severity for this population is essential to ensure that best care is provided.

Indexed as

COVID-19geriatric; mortalityolder agepredictorsprognosis

Identifiers

PMID34249362
PMCPMC8239978
OpenAlexW3173335625

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.