ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2020
A Simple Tool Predicts Mortality in Aluminum Phosphide Self-poisoning.
Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Epidemiology and mortality predictors of acute poisoning in a Tunisian Emergency Department: a two-year retrospective study.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026Article
- Clinico-Epidemiological Prediction of Adverse Outcomes in Acute Pediatric Poisoning: A Risk Prediction Nomogram Approach.Risk management and healthcare policy · 2025Article
- Prognostic value of PGI score compared to poison severity score (PSS) and simplified acute physiology score (SAPS) II as predictors of mortality and other adverse outcomes in acute poisoning with aluminum phosphide.Toxicology reports · 2024Article
- PGI score: prospective validation and correlation with SOFA, SAPS-II, and APACHE-II scores for predicting outcomes in acute aluminum phosphide poisoning.Toxicology research · 2022Article
- Changing spectrum of acute poisoning in North India: A hospital-based descriptive study.Turkish journal of emergency medicineArticle
- Prognostic significance of poison-related factors and consumption patterns in acute aluminum phosphide poisoning.Turkish journal of emergency medicineArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Incorporating the toxidrome-specific prognostic systems into the daily emergency department practice might become a standard of care in low- and middle-income countries. The PGI score is appealing because it is quick and easy, it accurately identifies high-risk patients at in-hospital mortality, and it shows promise in predicting those at low risk. Although further validation of the PGI score is required in more extensive studies, it can help direct appropriate resources to those most likely to benefit and stratify patients for testing novel clinical interventions.
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