Evidence map›Paper›PMID 40970397›Full record

SynthesisNursing open2025

Prevalence and Risk Factors Associated With ICU Mortality in Ethiopia: A Systemic Review and Meta-Analysis.

Diriba Teshome, Efrem Fenta, Basazinew Chekol

Abstract readSystematic ReviewMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Nursing open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

3 authors.

Diriba TeshomeDepartment of Anesthesia, College of Health Sciences and Medicine, Debre Tabor University, Debre Tabor, Ethiopia.ORCID https://orcid.org/0000-0001-5449-5262
Efrem FentaDepartment of Anesthesia, College of Health Sciences and Medicine, Debre Tabor University, Debre Tabor, Ethiopia.ORCID https://orcid.org/0000-0001-9709-8718
Basazinew ChekolDepartment of Anesthesia, College of Health Sciences and Medicine, Debre Tabor University, Debre Tabor, Ethiopia.ORCID https://orcid.org/0000-0002-7815-1314

Funding

Debre Tabor University
6 · The paper itself

Abstract

aimThis study targeted to determine the pooled prevalence and factors that contribute to intensive care unit (ICU) mortality.

designA systematic review and meta-analysis.

methodsElectronic databases were identified. Inclusion criteria were used to select articles for the study. The quality of the studies was assessed by the Joanna Briggs Institute checklist, while Egger's test and funnel plot were utilised to check publication bias. The heterogeneity was checked using the Cochrane Q-test and I

resultsA total of 12,354 articles were searched. After duplicated articles were removed and further screening by titles and abstracts and full-text based on the eligibility criteria 22 studies were included in the final study. Finally, we came up with a 41.3% of pooled ICU mortality in Ethiopia. The following risk factors were identified: Staying less than 4 days in ICU, staying more than 2 weeks in ICU, having a Glasgow coma scale score of less than 9, having a coexisting disease and being on mechanical ventilation were associated with ICU mortality. There is no evidence of publication bias. Mortality in ICU is high in Ethiopia. Therefore, the concerned body needs to consider the above risk factors to decrease the country's ICU mortality. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution.

Indexed as

Hospital MortalityIntensive Care UnitsEthiopiaHumansPrevalenceRisk Factorsadult ICU mortalityEthiopiaprevalence

Identifiers

PMID40970397
PMCPMC12447109

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.