Evidence map›Paper›PMID 32353398›Full record

ReviewMechanisms of ageing and development2020

Risk factors for predicting mortality in elderly patients with COVID-19: A review of clinical data in China.

Char Leung

Open access · greenAbstract readReview
In one paragraph

Review in Mechanisms of ageing and development, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 2 pooled it
6.0field-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

117 citing papers in PubMed, 2 syntheses or guidelines pooled it, 259 citations in OpenAlex.

  1. Pooled it
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  13. Knowledge, attitudes, and practices of chronic disease patients in Bojanala towards COVID-19.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2023
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  16. Determinant Factors of Mortality in Pre-elderly and Elderly Patients With COVID-19 in Jakarta, Indonesia.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2023
    Article
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  20. Review

57 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Char LeungDeakin University, 221 Burwood Highway, Burwood, 3125, Australia. Electronic address: charleung@hotmail.fr.
Deakin University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While elderly patients are at high risk of fatality, research concerning COVID-19 has largely been done on clarifying the clinical features. As such, the present work aims to identify risk factors for mortality in elderly patients with COVID-19. Given that single-centre studies are less likely informative as elderly remains a minority in the total Chinese population, the present study reviewed the clinical data of geriatric COVID-19 patients gathered from different sources in the public domain. Based on the data of 154 individuals from 26 provinces, age remained a key mortality risk factor among geriatric patients of different ages. While dyspnoea and chest pain/discomfort were more commonly seen in deceased patients as they represented severe pneumonia, fever was more prominent in surviving patients. This was likely due to the lower baseline body temperature observed in elderly which translated to a lower maximum temperature of fever. However, lowering the threshold temperature for fever is not recommended in surveillance. Instead, baseline body temperature measured on a regular basis should be used to define the threshold temperature for fever. Against mixed results, more research should be done on identifying comorbidities associated with mortality in geriatric patients.

Indexed as

AgedAged, 80 and overChinaComorbidityCoronavirus InfectionsCOVID-19FemaleHumansMalePandemicsPneumonia, ViralPredictive Value of TestsRisk FactorsCOVID-19ElderlyGeriatric patientsMortalityRisk factors

Identifiers

PMID32353398
PMCPMC7184979
OpenAlexW3018601526

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.