Evidence map›Paper›PMID 38073876›Full record

ArticleInfectious medicine2022

Clinical characteristics of COVID-19 hospitalized patients associated with mortality: A cohort study in Spain.

Manuel Lozano, Adina Iftimi, Alvaro Briz-Redon, Juanjo Peiró, Lara Manyes, María Otero, Mayte Ballester, M Dolores de Las Marinas, Juan Carlos Catalá, José de Andrés and 1 more

Open access · goldAbstract read
In one paragraph

Article in Infectious medicine, 2022. 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
0.2field-weighted citation impact, top 51% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  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

11 authors at 3 institutions in 1 country.

Manuel LozanoPreventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine Department, Universitat de València, Valencia, Spain.
Adina IftimiDepartment of Statistics and Operations Research, University of Valencia, Valencia, Spain.
Alvaro Briz-RedonStatistics Office, City Council of Valencia, Valencia, Spain.
Juanjo PeiróDepartment of Statistics and Operations Research, University of Valencia, Valencia, Spain.
Lara ManyesPreventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine Department, Universitat de València, Valencia, Spain.
María OteroDepartment of Anesthesia, Critical Care and Pain Unit, University General Hospital, Valencia, Spain.
Mayte BallesterDepartment of Anesthesia, Critical Care and Pain Unit, University General Hospital, Valencia, Spain.
M Dolores de Las MarinasDivision of Allergy and Immunology, University General Hospital, Valencia, Spain.
Juan Carlos CataláDepartment of Anesthesia, Critical Care and Pain Unit, University General Hospital, Valencia, Spain.
José de AndrésDepartment of Anesthesia, Critical Care and Pain Unit, University General Hospital, Valencia, Spain.
Carolina RomeroDepartment of Anesthesia, Critical Care and Pain Unit, University General Hospital, Valencia, Spain.
Hospital General Universitario De Valencia · ESUniversitat de València · ESUniversitat Jaume I · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The heterogeneity of patients with COVID-19 may explain the wide variation of mortality rate due to the population characteristics, presence of comorbidities and clinical manifestations. Methods: In this study, we analyzed 5342 patients' recordings and selected a cohort of 177 hospitalized patients with a poor prognosis at an early stage. We assessed during 6 months their symptomatology, coexisting health conditions, clinical measures and health assistance related to mortality. Multiple Cox proportional hazards models were built to identify the associated factors with mortality risk. Results: We observed that cough and kidney failure triplicate the mortality risk and both bilirubin levels and oncologic condition are shown as the most associated with the demise, increasing in four and ten times the risk, respectively. Other clinical characteristics such as fever, diabetes mellitus, breathing frequency, neutrophil-lymphocyte ratio, oxygen saturation, and troponin levels, were also related to mortality risk of in-hospital death. Conclusions: The present study shows that some symptomatology, comorbidities and clinical measures could be the target of prevention tools to improve survival rates.

Indexed as

Coronavirus infectionsCOVID-19EpidemiologyMortalityPandemicsProportional hazard modelRespiratory insufficiencySARS-CoV-2

Identifiers

PMID38073876
PMCPMC9023371
OpenAlexW4224306416

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.