Evidence map›Paper›PMID 35378919›Full record

ArticleInternational journal of general medicine2022

Analysis of Deaths and Favorable Developments of Patients with SARS-CoV-2 Hospitalized in the Largest Hospital for Infectious Diseases and Pneumo-Phthisiology in the West of the Country.

Ruxandra Laza, Cristina Dragomir, Virgil Filaret Musta, Voichita Elena Lazureanu, Narcisa Daniela Nicolescu, Adelina Raluca Marinescu, Roxana Paczeyka, Tamara Mirela Porosnicu, Valerica Bica-Porfir, Sorina Maria Denisa Laitin and 3 more

Abstract read
In one paragraph

Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

13 authors.

Ruxandra LazaDepartment XIII, Discipline of Infectious Diseases, University of Medicine and Pharmacy "Victor Babes", Timisoara, Romania.
Cristina DragomirDoctoral School, University of Medicine and Pharmacy "Victor Babes", Timisoara, 300041, Romania.ORCID 0000-0002-4746-625X
Virgil Filaret MustaDepartment XIII, Discipline of Infectious Diseases, University of Medicine and Pharmacy "Victor Babes", Timisoara, Romania.
Voichita Elena LazureanuDepartment XIII, Discipline of Infectious Diseases, University of Medicine and Pharmacy "Victor Babes", Timisoara, Romania.
Narcisa Daniela NicolescuDepartment XIII, Discipline of Infectious Diseases, University of Medicine and Pharmacy "Victor Babes", Timisoara, Romania.
Adelina Raluca MarinescuDepartment XIII, Discipline of Infectious Diseases, University of Medicine and Pharmacy "Victor Babes", Timisoara, Romania.
Roxana PaczeykaClinical Hospital of Infectious Diseases and Pneumophtisiology "Doctor Victor Babes", Timisoara, 300310, Romania.
Tamara Mirela PorosnicuClinical Hospital of Infectious Diseases and Pneumophtisiology "Doctor Victor Babes", Timisoara, 300310, Romania.
Valerica Bica-PorfirClinical Hospital of Infectious Diseases and Pneumophtisiology "Doctor Victor Babes", Timisoara, 300310, Romania.
Sorina Maria Denisa LaitinClinical Hospital of Infectious Diseases and Pneumophtisiology "Doctor Victor Babes", Timisoara, 300310, Romania.
Ion DragomirIndividual Family Medical Office, Ostroveni, Dolj, Romania.
Constantin Ilie *Department XII, Discipline of Neonatology and Childcare, University of Medicine and Pharmacy "Victor Babes", Timisoara, Romania.
Luminita Mirela BaditoiuDepartment XIII, Discipline of Epidemiology, University of Medicine and Pharmacy "Victor Babes", Timisoara, 300041, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Romania is one of the European countries that has been hit the hardest by the severe acute respiratory syndrome caused by the new coronavirus SARS-CoV-2, with over 1.91 million reported cases and over 59,257 deaths. The aim of this study was to identify the main predictors of death in hospitalized patients. Patients and Methods: In the period from 1 March 2020 to 30 June 2021, an observational, retrospective, randomized, case-control study was conducted, which included a sample of 139 patients who died in hospital and another sample of 275 patients who had been discharged in an improved or healed condition. Confirmation of COVID-19 cases was performed by RT-PCR from nasopharyngeal and oropharyngeal exudates. Statistical data were analyzed by logistic regression, Cox regression and a comparison of survival curves by the log-rank (Mantel-Cox) test. Results: The most powerful logistic regression model identified the following independent predictors of death: history of coagulopathy HR = 30.73 [1.94-487.09], p = 0.015; high percentage of neutrophils HR = 1.09 [1.01-1.19], p = 0.027; and decreased blood-oxygenation HR = 53881.97 [1762.24-1647489.44], p < 0.001. Cox regression identified the following factors that influenced the evolution of cases: history of coagulopathy HR = 2.44 [1.38-4.35], p = 0.000; O Conclusion: Knowledge of the predictors of death in hospitalized patients allows for the future optimization of triage and therapeutic case management for COVID-19.

Indexed as

comorbiditiescomplicationsCOVID-19protection factorsrisk factorssurvival

Identifiers

PMID35378919
PMCPMC8976499

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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.