SynthesisBMC emergency medicine2025
Prevalence and determinant of poor treatment outcome of poisoning in Ethiopia: systematic review and meta-analysis.
Synthesis in BMC emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled 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.
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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Metallophosphide poisoning, a rising public health problem in Ethiopia: a systematic review and meta-analysis.BMC emergency medicine · 2025Pooled it
- Treatment outcomes and determinants of in-hospital mortality among acute poisoning patients in Addis Ababa, Ethiopia: A multicenter retrospective study.Journal of public health research · 2026Article
- Building medical toxicology capacity in Africa: a review and strategic perspective on the need for fellowship training programs.International journal of emergency medicine · 2025Review
- Prediction of QTc Prolongation in Acute Poisoning with Atypical Antipsychotics Using Machine Learning Techniques: A Study from Poison Control Center.Cardiovascular toxicology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute poisoning is a medical emergency that can be caused by exposure to significant levels of any chemical and has toxic consequences that typically manifest within hours of exposure, leading to significant morbidity and mortality.
objectivesThis study aims to determine the pooled prevalence and determinant of poor treatment outcomes of poisoning in Ethiopia.
methodsThe searches were conducted in electronic databases such as PubMed, MEDLINE, EMBASE, Science Direct, Web of Science, and Google Scholar. Original studies were selected and published until the end of December 2024, addressing the prevalence and determinant of poor treatment outcomes (death and disability) among patients. Endnote X-8 reference manager software was used to collect and organize the search outcomes and remove duplicate articles. Important data were extracted from the included studies using a format prepared in Microsoft Excel and exported to STATA 17.0 software for outcome measure analyses. The Higgins I
resultEleven research articles and 10,089 poisoned patients were included in the final analysis. This study finding showed that the pooled prevalence of poor treatment outcomes among poisoned patients was 16.13% (95% CI: 9.20, 23.05). This meta-analysis study revealed that patients living in rural areas (AOR: 2.79, 95% CI: 1.44, 5.42) and delayed time to arrival (AOR = 6.15, 95%CI: 2.46, 15.34) were determinant factors of poor treatment outcome for poisoned patients in hospitals. CONCLUSION AND RECOMMENDATION: This study findings stated that the pooled prevalence of poor treatment outcomes among patients was high. Patients living in rural areas and delayed time to arrival at health facilities were independent determinants of poor treatment outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.