Evidence map›Paper›PMID 32802502›Full record

ArticleCritical care research and practice2020

Mortality Predictors and Associated Factors in Patients in the Intensive Care Unit: A Cross-Sectional Study.

Fernanda G de M Soares Pinheiro, Eduesley Santana Santos, Íkaro Daniel de C Barreto, Carleara Weiss, Andreia C Vaez, Jussiely C Oliveira, Matheus S Melo, Francilene A Silva

Open access · goldAbstract read
In one paragraph

Article in Critical care research and practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 39 citations in OpenAlex.

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  18. Assessment of Risk Factors for Mortality in Patients in Medical Intensive Care Unit of a Tertiary Hospital.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022
    Article
  19. Natural language processing to assess the epidemiology of delirium-suggestive behavioural disturbances in critically ill patients.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2021
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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

8 authors at 3 institutions in 2 countries.

Fernanda G de M Soares PinheiroNursing Department, Federal University of Sergipe, Lagarto, Sergipe, Brazil.ORCID https://orcid.org/0000-0002-5258-4752
Eduesley Santana SantosGraduate Program in Nursing, Federal University of Sergipe, São Cristóvão, Sergipe, Brazil.ORCID https://orcid.org/0000-0001-8545-5677
Íkaro Daniel de C BarretoGraduate Program of Biometrics and Applied Statistics, Federal Rural University of Pernambuco, Recife, Brazil.
Carleara WeissJacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA.
Andreia C VaezNursing Department, Federal University of Sergipe, São Cristóvão, Sergipe, Brazil.
Jussiely C OliveiraGraduate Program in Nursing, Federal University of Sergipe, São Cristóvão, Sergipe, Brazil.
Matheus S MeloGraduate Program in Nursing, Federal University of Sergipe, São Cristóvão, Sergipe, Brazil.
Francilene A SilvaGraduate Program in Health Sciences, Federal University of Sergipe, São Cristóvão, Sergipe, Brazil.
Universidade Federal de Sergipe · BRJacobs (United States) · USUniversidade Federal Rural de Pernambuco · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMortality in the intensive care unit (ICU) has been associated to an array of risk factors. Identification of risk factors potentially contribute to predict and reduce mortality rates in the ICU. The objectives of the study were to determine the prevalence and the factors associated with the mortality and to analyze the survival.

methodA cross-sectional study conducted in two clinical and surgical ICU in the state of Sergipe, northeastern Brazil. We enrolled 316 patients with at least 48 h of hospitalization, minimum age of 18 years old, sedated or weaned, with RASS ≥ -3, between July 2017 and April 2018. We categorized data in (1) age and gender, (2) clinical condition, and (3) prevalence of delirium. Data from enrolled patients were collected from enrollment until death or ICU discharge. Patients' outcomes were categorized in (1) death and (2) nondeath (discharge).

resultsTwenty-one percent of participants died. Age (53 ± 17 years

conclusionThe prevalence of death was 21%, and age, electrolyte disturbance, glycemic index, tube feeding, mechanical ventilation, sedation with fentanyl, use of insulin, and higher Charlson score were associated with mortality.

Identifiers

PMID32802502
PMCPMC7416226
OpenAlexW3046370518

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.