ArticleAnnals of burns and fire disasters2023
Predicting Mortality in Burn Patients: Literature Review of Risk Factors for Burn Mortality and Application in Scoring Systems.
Article in Annals of burns and fire disasters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Federated Learning-Based Model for Predicting Mortality: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Combined therapy with nebulized and intravenous colistin for the treatment of multidrug resistance pneumonia in burn patients: experience from a third referral burn care center in Mexico City.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Article
- Comparison of Burn Severity and Mortality Evaluation Tools in Older Patients.Journal of plastic and reconstructive surgery · 2026Review
- Experimental Burn Induction in Laboratory Animals: A Scoping Review of Methods, Reproducibility, Operator-Dependent Variability, and Relevance to Soft Tissue Reconstruction and Repair.Bioengineering (Basel, Switzerland) · 2026Review
- Predictors of Mortality in Burn Patients at Selected Tertiary Public Hospitals in Addis Ababa, Ethiopia: A Two-Year Retrospective Study.European burn journal · 2026Article
- Survival status and predictors of mortality among burn patients admitted to intensive care units at burn centres in Addis Ababa, Ethiopia: a retrospective follow-up study.International journal of emergency medicine · 2026Article
- Predictors of Sepsis and Sepsis-related Mortality in Critically Ill Burn Patients: A Single Tertiary Care Center Experience.Plastic and reconstructive surgery. Global open · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite advances in medical technology, mortality due to burn injuries remains significant. Scoring systems are aimed at allowing physicians to effectively and accurately predict the mortality of a given patient. Patients at a higher risk of death from burns include older patients over the age of 65, high-severity burn, presence of co-morbidities, and presence of inhalation injury. Constructing a burn prediction model also needs its own methodological standards. Hence, choosing a prediction model for predicting burn mortality requires careful analysis of its methodology. Attention towards mortality risk factors should be taken when treating burn patients. Tools such as burn prediction models prove helpful in aiding physicians to accurately and effectively predict a patient's mortality, stratify patient severity, and allocate resources appropriately, especially in settings where resources are scarce, such as natural disasters. Additionally, prediction models are used to monitor patient care and for research purposes.
Indexed as
Identifiers
38680910PMC11044732What 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.