Evidence map›Paper›PMID 37522071›Full record

ArticleClinical interventions in aging2023

Variables Associated with 30-Day Mortality in Very Elderly COVID-19 Patients.

Yunli Xing, Ying Sun, Mei Tang, Wei Huang, Jia Luo, Qing Ma

Abstract read
In one paragraph

Article in Clinical interventions in aging, 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
–field-weighted citation impact
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.

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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.

Yunli XingDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0001-9487-2325
Ying SunDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Mei TangDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0002-7294-0355
Wei HuangDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Jia LuoDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0003-3293-0301
Qing MaDepartment of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0002-5423-0325

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Advanced age increases the risk for severe COVID-19. However, the risk factors for mortality from COVID-19 in very elderly patients (≥80-years-old) are unknown. Objective: Investigate the relationship of mortality with the clinical characteristics of very elderly COVID-19 patients. Materials and Methods: Very elderly patients who were hospitalized with COVID-19 from December 3, 2022 to January 1, 2023 were retrospectively examined. Sociodemographic and clinical variables were recorded and survival was recorded after 30 days. Results: We examined 181 patients (median age: 90.84 years; 114 older than 90 years). The median Barthel index was 30.69, and 55.8% of patients had severe or critical COVID-19 pneumonia. Forty-two patients (33.2%) received a high-flow nasal cannula or non-invasive ventilation, and only 4.4% received mechanical ventilation. The overall mortality was 35.9%, and there was no significant difference in mortality for the 80 to 90-year-old group and the over 90-year-old group (37.7% vs 32.8%, Conclusion: Very elderly COVID-19 patients have a high risk for mortality. The Barthel index, SCr, WBC count, D-dimer level, and corticosteroid use were independently associated with mortality.

Indexed as

COVID-19Adrenal Cortex HormonesAgedAged, 80 and overAge FactorsCreatineHumansRetrospective StudiesROC CurveSARS-CoV-2Adrenal Cortex HormonesCreatinecharacteristicCOVID-19mortalityover-80-year-old

Identifiers

PMID37522071
PMCPMC10386830

What OpenQuestion holds

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LicenceCC BY-NC
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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.