Evidence map›Paper›PMID 33400164›Full record

ArticleInternal and emergency medicine2021

Predictors of mortality of COVID-19 in the general population and nursing homes.

Pedro Pablo España, Amaia Bilbao, Susana García-Gutiérrez, Iratxe Lafuente, Ane Anton-Ladislao, Ane Villanueva, Ane Uranga, Maria Jose Legarreta, Urko Aguirre, Jose Maria Quintana and 1 more

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Internal and emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04463706 (Clinical Characterization of CoVid19 Infection), which is not on this map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.9field-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.

NCT04463706 completednot on this map

Clinical Characterization of CoVid19 Infection: Prognostic Stratification and Complications

TypeobservationalSponsorHospital Galdakao-UsansoloRan2020 to 2022Enrolled380,000ConditionsCovid19ArmsPredictors adverse evolution, Predictors of health care provide
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 59 citations in OpenAlex.

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  17. Managing the Impact of COVID-19 in Nursing Homes and Long-Term Care Facilities: An Update.Journal of the American Medical Directors Association · 2022
    Article
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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

11 authors at 5 institutions in 1 country.

Pedro Pablo EspañaOsakidetza/Basque Health Service, Respiratory Service, Galdakao University Hospital, Galdakao, Bizkaia, Spain.
Amaia BilbaoOsakidetza/Basque Health Service, Research Unit, Basurto University Hospital, Bilbao, Bizkaia, Spain.
Susana García-GutiérrezOsakidetza/Basque Health Service, Research Unit, Galdakao University Hospital, Galdakao, Bizkaia, Spain.
Iratxe LafuenteOsakidetza/Basque Health Service, Research Unit, Galdakao University Hospital, Galdakao, Bizkaia, Spain.
Ane Anton-LadislaoOsakidetza/Basque Health Service, Research Unit, Galdakao University Hospital, Galdakao, Bizkaia, Spain.
Ane VillanuevaOsakidetza/Basque Health Service, Research Unit, Galdakao University Hospital, Galdakao, Bizkaia, Spain.
Ane UrangaOsakidetza/Basque Health Service, Respiratory Service, Galdakao University Hospital, Galdakao, Bizkaia, Spain.
Maria Jose LegarretaOsakidetza/Basque Health Service, Research Unit, Galdakao University Hospital, Galdakao, Bizkaia, Spain.
Urko AguirreOsakidetza/Basque Health Service, Research Unit, Galdakao University Hospital, Galdakao, Bizkaia, Spain.
Jose Maria QuintanaOsakidetza/Basque Health Service, Research Unit, Galdakao University Hospital, Galdakao, Bizkaia, Spain. josemaria.quintanalopez@osakidetza.eus.ORCID 0000-0003-2170-7876
COVID-19-Osakidetza Working group
Osasun Sistemen Ikerketa Institutua · ESBioCruces Health research Institute · ESHospital de Basurto · ESEuskadiko Parke Teknologikoa · ESHospital de Galdakao · ES

Funding

Instituto de Salud Carlos III COV20/00459
6 · The paper itself

Abstract

The factors that predispose an individual to a higher risk of death from COVID-19 are poorly understood. The goal of the study was to identify factors associated with risk of death among patients with COVID-19. This is a retrospective cohort study of people with laboratory-confirmed SARS-CoV-2 infection from February to May 22, 2020. Data retrieved for this study included patient sociodemographic data, baseline comorbidities, baseline treatments, other background data on care provided in hospital or primary care settings, and vital status. Main outcome was deaths until June 29, 2020. In the multivariable model based on nursing home residents, predictors of mortality were being male, older than 80 years, admitted to a hospital for COVID-19, and having cardiovascular disease, kidney disease or dementia while taking anticoagulants or lipid-lowering drugs at baseline was protective. The AUC was 0.754 for the risk score based on this model and 0.717 in the validation subsample. Predictors of death among people from the general population were being male and/or older than 60 years, having been hospitalized in the month before admission for COVID-19, being admitted to a hospital for COVID-19, having cardiovascular disease, dementia, respiratory disease, liver disease, diabetes with organ damage, or cancer while being on anticoagulants was protective. The AUC was 0.941 for this model's risk score and 0.938 in the validation subsample. Our risk scores could help physicians identify high-risk groups and establish preventive measures and better follow-up for patients at high risk of dying.ClinicalTrials.gov Identifier: NCT04463706.

Indexed as

AgedAged, 80 and overComorbidityCOVID-19Databases, FactualFemaleHumansMaleMiddle AgedNursing HomesPrognosisRetrospective StudiesRisk FactorsSurvival RateClinical prediction rulesCohort studyCOVID-19MortalityPrognostic factors

Identifiers

PMID33400164
PMCPMC7783294
OpenAlexW3119796240

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.