ArticleOpen access emergency medicine : OAEM2023
Risks of Early Mortality and Associated Factors at Adult Emergency Department of Jimma University Medical Center.
Article in Open access emergency medicine : OAEM, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mortality and its determinants among patients attending in emergency departments.BMC emergency medicine · 2024Pooled it
- Data balancing improves mortality prediction for emergency department patients.BMC medical informatics and decision making · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Mortality in the emergency department is still high in developing countries with resources scarce. Most of emergency department mortality occurred within the first three days; the majority of these deaths are avoidable with proper intervention. Therefore, the purpose of this study was to assess the mortality risks and therapeutic benefits of early and late death. Methods: Case-control study approach with 87 cases and 174 controls (case to control ratio of 1:2) was used on 261 study participants. Data were extracted from the patient charts using a pretested extraction tool. Then, checked data were entered into Epi-data manager 4.6 versions and analyzed using SPSS 25 versions. Binary logistic regression was used to construct bivariate and multivariable analyses following the descriptive analysis. Finally, a predictor variable in the multivariate logistic regression was deemed to have a significant association if its Results: Patients who were triaged into the red zone had a 2.3-fold greater risk of dying early than those who were placed in another triage category [(AOR=2.3; 95% CI: 1.10, 5.55) Conclusion: The common causes of early mortality were respiratory failure, cardiovascular disease, and road traffic accident. Being aged, having rural residence, being triaged into red zone, and diagnosed for respiratory failure and cardiac failure increase early mortality compared with late death.
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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.