Evidence map›Paper›PMID 39252104›Full record

ArticleEuropean journal of medical research2024

Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia.

Chekol Alemu, Habitamu Wudu, Bizuayehu Bogale, Zerihun Getachew, Abebe Nega

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Article in European journal of medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chekol AlemuDepartment of Statistics, College of Natural and Computational Sciences, Gambella University, Gambella, Ethiopia. chekol2011@gmail.com.ORCID http://orcid.org/0000-0002-0443-7133
Habitamu WuduDepartment of Statistics, College of Natural and Computational Sciences, Gambella University, Gambella, Ethiopia.
Bizuayehu BogaleMonitoring, Evaluation, Accountability and Learning (MEAL) Officer, Doctors with Africa-CUAMM, Gambella, Ethiopia.
Zerihun GetachewDepartment of Rural Development and Agricultural Extension, College of Agriculture and Natural Resource, Gambella University, Gambella, Ethiopia.
Abebe NegaDepartment of Statistics, College of Natural Sciences, Jimma University, Jimma, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeA stroke or a cerebrovascular accident is a common cause of death and a leading cause of long-term, severe disability in both developed and developing countries. The most recent global burden of disease report states that there were 11.9 million new cases of stroke worldwide; stroke accounts for nearly 1 in 8 deaths globally (12%, 6.5 million deaths) and claims a life every 5 s, making it the second most common cause of death worldwide. The goal of the study was to identify the most important factors influencing stroke patients' time to death at Gambella General Hospital.

methodsData was gathered from patient files in a hospital using a retrospective study methodology, spanning the period from September 2018 to September 2020. R 3.4.0 statistical software and STATA version 14.2 were used for data entry and analysis. The survival time was compared using the log-rank tests and the Kaplan-Meier survival curve. The fitness of the Cox proportional hazard model was examined.

resultsThe final model that was fitted was the log-logistic AFT model. A statistically significant correlation was defined as having a p value of less than 0.05 and the accelerated factor (γ) with its 95% confidence interval was employed. Eight days was the total median death time (95% CI 6-10). Significant predictors for shortened mortality time were age (γ = 0.94; 95% CI (0.0.920-0.980), hypertension (γ = 0.63; 95% CI (0.605-0.660), and baseline complications (γ = 0.24; 95% CI (0.223-0.256).

conclusionsThe shortened timing of death was significantly predicted by age, hypertension, and baseline complications. In light of the study's findings, health administrators and caregivers should work to improve society's overall health.

Indexed as

Hospitals, GeneralStrokeAdultAgedAged, 80 and overEthiopiaFemaleHumansMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk FactorsTime FactorsStrokeSurvivalSurvival analysisTime to death

Identifiers

PMID39252104
PMCPMC11382527

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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.