Evidence map›Paper›PMID 36553928›Full record

ArticleHealthcare (Basel, Switzerland)2022

Epidemiological Characteristics of Deaths from COVID-19 in Peru during the Initial Pandemic Response.

Willy Ramos, Juan Arrasco, Jhony A De La Cruz-Vargas, Luis Ordóñez, María Vargas, Yovanna Seclén-Ubillús, Miguel Luna, Nadia Guerrero, José Medina, Isabel Sandoval and 2 more

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Altitude and case fatality rate from COVID-19 during the pandemic in Peru, 2020-2022.Revista peruana de medicina experimental y salud publica · 2026
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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

12 authors at 4 institutions in 1 country.

Willy RamosCentro Nacional de Epidemiología, Prevención y Control de Enfermedades, Ministerio de Salud, Lima 15072, Peru.ORCID 0000-0003-1599-7811
Juan ArrascoCentro Nacional de Epidemiología, Prevención y Control de Enfermedades, Ministerio de Salud, Lima 15072, Peru.ORCID 0000-0002-4961-3858
Jhony A De La Cruz-VargasInstituto de Investigaciones en Ciencias Biomédicas (INICIB), Universidad Ricardo Palma, Lima 15039, Peru.ORCID 0000-0002-5592-0504
Luis OrdóñezCentro Nacional de Epidemiología, Prevención y Control de Enfermedades, Ministerio de Salud, Lima 15072, Peru.ORCID 0000-0003-2169-0162
María VargasCentro Nacional de Epidemiología, Prevención y Control de Enfermedades, Ministerio de Salud, Lima 15072, Peru.
Yovanna Seclén-UbillúsUnidad de Post Grado, Facultad de Medicina de San Fernando, Universidad Nacional Mayor de San Marcos, Lima 15001, Peru.
Miguel LunaCentro Nacional de Epidemiología, Prevención y Control de Enfermedades, Ministerio de Salud, Lima 15072, Peru.
Nadia GuerreroCentro Nacional de Epidemiología, Prevención y Control de Enfermedades, Ministerio de Salud, Lima 15072, Peru.
José MedinaCentro Nacional de Epidemiología, Prevención y Control de Enfermedades, Ministerio de Salud, Lima 15072, Peru.
Isabel SandovalCentro Nacional de Epidemiología, Prevención y Control de Enfermedades, Ministerio de Salud, Lima 15072, Peru.
Maria Edith Solis-CastroDepartamento Académico de Medicina Humana, Facultad de Ciencias de la Salud, Universidad Nacional de Tumbes, Tumbes 24001, Peru.ORCID 0000-0001-5514-849X
Manuel LoayzaInstituto de Investigaciones en Ciencias Biomédicas (INICIB), Universidad Ricardo Palma, Lima 15039, Peru.
Ministry of Health · PEUniversidad Ricardo Palma · PENational University of San Marcos · PEUniversidad Nacional de Tumbes · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimPeru is the country with the highest mortality rate from COVID-19 globally, so the analysis of the characteristics of deaths is of national and international interest. The aim was to determine the epidemiological characteristics of deaths from COVID-19 in Peru from 28 March to 21 May 2020.

methodsDeaths from various sources were investigated, including the COVID-19 Epidemiological Surveillance and the National System of Deaths (SINADEF). In all, 3851 deaths that met the definition of a confirmed case and had a positive result of RT-PCR or rapid test IgM/IgG, were considered for the analysis. We obtained the epidemiological variables and carried out an analysis of time defined as the pre-hospital time from the onset of symptoms to hospitalization, and hospital time from the date of hospitalization to death.

resultsDeaths were more frequent in males (72.0%), seniors (68.8%) and residents of the region of Lima (42.7%). In 17.8% of cases, the death occurred out-of-hospital, and 31.4% had some comorbidity. The median of pre-hospital time was 7 days (IQR: 4.0-9.0) and for the hospital time was 5 days (IQR: 3.0-9.0). The multivariable analysis with Poisson regression with robust variance found that the age group, comorbidity diagnosis and the region of origin significantly influenced pre-hospital time; while sex, comorbidity diagnosis, healthcare provider and the region of origin significantly influenced hospital time.

conclusionDeaths occurred mainly in males, seniors and on the coast, with considerable out-of-hospital deaths. Pre-hospital time was affected by age group, the diagnosis of comorbidities and the region of origin; while, hospital time was influenced by gender, the diagnosis of comorbidities, healthcare provider and the region of origin.

Indexed as

coronavirusCOVID-19deathsepidemiologyPeru

Identifiers

PMID36553928
PMCPMC9777767
OpenAlexW4311045764

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.