Evidence map›Paper›PMID 38635760›Full record

ArticlePloS one2024

Factors associated with mortality of elderly people due to COVID-19: Protocol for systematic review and meta-analysis.

Danyllo do Nascimento Silva Junior, Ádala Nayana de Sousa Mata, Gidyenne Christine Bandeira Silva de Medeiros, Marilane Vilela Marques, Thais Teixeira Dos Santos, Maria Eduarda de Sousa Monteiro, Gabriela Góis Costa, Eleonora D Orsi, Eva Vegue Parra, Grasiela Piuvezam

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Danyllo do Nascimento Silva JuniorPostgraduate Program of Public Health, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil.ORCID 0000-0002-9035-6216
Ádala Nayana de Sousa MataSystematic Review and Meta-Analysis Laboratory (Lab-Sys/CNPq), UFRN, Natal, RN, Brazil.
Gidyenne Christine Bandeira Silva de MedeirosPostgraduate Program of Public Health, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil.
Marilane Vilela MarquesPostgraduate Program of Public Health, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil.
Thais Teixeira Dos SantosPostgraduate Program of Public Health, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil.
Maria Eduarda de Sousa MonteiroSystematic Review and Meta-Analysis Laboratory (Lab-Sys/CNPq), UFRN, Natal, RN, Brazil.
Gabriela Góis CostaSystematic Review and Meta-Analysis Laboratory (Lab-Sys/CNPq), UFRN, Natal, RN, Brazil.
Eleonora D OrsiDepartment of Public Health, Federal University of Santa Catarina (UFSC), Florianópolis, SC, Brazil.
Eva Vegue ParraUniversidad Católica San Antonio de Murcia (UCAM), Murcia, Spain.ORCID 0000-0001-8135-4262
Grasiela PiuvezamPostgraduate Program of Public Health, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil.ORCID 0000-0002-2343-7251

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic has become a significant health crisis, marked by high mortality rates on a global scale, with mortality from the disease being notably concentrated among the elderly due to various factors.

objectiveThis study aims to investigate the biological and non-biological factors associated with COVID-19 mortality rates among the elderly worldwide.

methodsThe following databases will be consulted: PubMed, Scopus, EMBASE, Web of Science and ScienceDirect. Longitudinal observational studies (cohort and case-control-risk factors) will be included. The risk of bias, defined as low, moderate, high, will be assessed using the National Heart, Lung and Blood Institute (NHLBI) Quality Assessment Tool for observational cohort and cross-sectional studies. Two independent authors will conduct the searches, and any possible disagreements will be resolved by a third author. Heterogeneity between study results will be assessed using a standard X2 test with a significance level of 0.05, and an I2 value will be calculated to further assess heterogeneity. The random effects model for meta-analyses will be adopted to distribute the weight between the studies and standardize their contributions. The meta-analyses will be conducted using RevMan software. DISCUSSION: Despite the numerous publications on COVID-19 mortality among the elderly, there is still a gap in knowledge, as there is no systematic review and meta-analysis that summarizes the main biological and non-biological associated factors globally.

conclusionThe results of this study will consolidate the latest evidence and address gaps in the overall understanding of biological or non-biological associated factors. This knowledge will facilitate the development of appropriate health strategies for this demographic group and pave the way for further research.

trial registrationPROSPERO (CRD42023400873).

Indexed as

COVID-19AgedHumansMeta-Analysis as TopicPandemicsSystematic Reviews as Topic

Identifiers

PMID38635760
PMCPMC11025961

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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.