Evidence map›Paper›PMID 42328103›Full record

ArticleSAGE open medicine2026

Time to death and its predictors among adults on mechanical ventilation at Hiwot Fana comprehensive specialized hospital, eastern Ethiopia: A retrospective cohort study.

Rahma Esmael, Behailu Hawulte Ayele, Adisu Birhanu Weldesenbet

Abstract read
In one paragraph

Article in SAGE open medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Rahma EsmaelDepartment of Epidemiology, Hiwot Fana Comprehensive Specialized Hospital, Harar, Ethiopia.
Behailu Hawulte AyeleSchool of Population Health, Curtin University, Perth, WA, Australia.ORCID https://orcid.org/0000-0001-6023-7542
Adisu Birhanu WeldesenbetDepartment of Epidemiology and Biostatistics, College of Health and Medical Sciences, Haramaya University, Haramaya, Ethiopia.ORCID https://orcid.org/0000-0003-3964-4252

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Mechanical ventilation is an essential lifesaving intervention for patients with severe illness. Mortality among patients receiving mechanical ventilation is high in low-resource settings, including Ethiopia. Evidence on predictors of time to death in such settings is limited. Therefore, this study aimed to assess time to death and its predictors among adult patients receiving mechanical ventilation in intensive care unit at Hiwot Fana comprehensive specialized Hospital, Eastern Ethiopia. Method: An institution-based retrospective cohort study was conducted among 586 mechanically ventilated adult patients. Data were collected using structured checklist. Time to event analysis was performed using cox proportional hazards model to identify predictors of time to death. The proportional hazard assumption was assessed using schoenfeld residuals. Adjusted hazard ratios with 95% confidence interval were used to quantify associations. Results: The incidence density of mortality was 6.74 per 100 person-days observations (95% CI: 5.92-7.68). Factors associated with a higher hazards of death included platelet count less than 150,000*10 Conclusion: Several clinical and treatment related factors were associated with time to death among mechanically ventilated Intensive Care Unit (ICU) patients. Close monitoring and appropriate management of high risk patients are essential needed.

Indexed as

Ethiopiaintensive care unitmechanical ventilationmortalitytime to death

Identifiers

PMID42328103
PMCPMC13276226

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.