ArticleBMC health services research2017
The modified south African triage scale system for mortality prediction in resource-constrained emergency surgical centers: a retrospective cohort study.
Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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
20 citing papers in PubMed.
- Introduction of a standardised protocol, including systematic use of tranexamic acid, for management of severe adult trauma patients in a low-resource setting: the MSF experience from Port-au-Prince, Haiti.BMC emergency medicine · 2019Trial
- An inter-rater reliability study of a modified version of SATS as a prehospital triage tool.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026Article
- Identifying barriers and facilitators to implementing triage systems in low- and middle-income countries: A scoping review.PLOS global public health · 2026Article
- The Suitability of the South African Triage Scale (SATS) in Triaging Patients With Penetrating Neck Injuries at a High-Level Trauma Center, in the Western Cape, South Africa.World journal of surgery · 2025Observational
- Triage implementation audit at the adult emergency department of Debre Tabor Comprehensive Specialized Hospital in Ethiopia.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2024Review
- Epidemiology and outcomes of critically ill patients in the emergency department of a tertiary teaching hospital in Rwanda.International journal of emergency medicine · 2024Article
- Geographical validation of the Smart Triage Model by age group.PLOS digital health · 2024Article
- The value of shock index, modified shock index and age shock index to predict mortality and hospitalisation in a district level emergency centre.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2023Article
- Perioperative Risk Assessment in Humanitarian Settings: A Scoping Review.World journal of surgery · 2023Article
- Validation of a modified South African triage scale in a high-resource setting: a retrospective cohort study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2023Article
- Implementation of the South African Triage Scale (SATS) in a New Ambulance System in Beira, Mozambique: A Retrospective Observational Study.International journal of environmental research and public health · 2022Observational
- Assessment of the patients' outcomes after implementation of South African triage scale in emergency department, Egypt.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2022Article
- Validation of the Interagency Integrated Triage Tool in a resource-limited, urban emergency department in Papua New Guinea: a pilot study.The Lancet regional health. Western Pacific · 2021Article
- Performance of Prognostication Scores for Mortality in Injured Patients in Rwanda.The western journal of emergency medicine · 2021Article
- Emergency medicine matters: epidemiology of medical pathology and changes in patient outcomes after implementation of a post-graduate training program at a Tertiary Teaching Hospital in Kigali, Rwanda.International journal of emergency medicine · 2021Article
- Implementation of a novel three-tier triage tool in Papua New Guinea: A model for resource-limited emergency departments.The Lancet regional health. Western Pacific · 2020Review
- Evaluating trauma scoring systems for patients presenting with gunshot injuries to a district-level urban public hospital in Cape Town, South Africa.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2019Article
- Impact of emergency medicine training implementation on mortality outcomes in Kigali, Rwanda: An interrupted time-series study.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2019Article
- Strengthening Emergency Care Systems to Mitigate Public Health Challenges Arising from Influxes of Individuals with Different Socio-Cultural Backgrounds to a Level One Emergency Center in South East Europe.International journal of environmental research and public health · 2018Article
- Validation of a Modified Triage Scale in a Norwegian Pediatric Emergency Department.International journal of pediatrics · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe South African Triage Scale (SATS) was developed to facilitate patient triage in emergency departments (EDs) and is used by Médecins Sans Frontières (MSF) in low-resource environments. The aim was to determine if SATS data, reason for admission, and patient age can be used to develop and validate a model predicting the in-hospital risk of death in emergency surgical centers and to compare the model's discriminative power with that of the four SATS categories alone.
methodsWe used data from a cohort hospitalized at the Nap Kenbe Surgical Hospital in Haiti from January 2013 to June 2015. We based our analysis on a multivariate logistic regression of the probability of death. Age cutoff, reason for admission categorized into nine groups according to MSF classifications, and SATS triage category (red, orange, yellow, and green) were used as candidate parameters for the analysis of factors associated with mortality. Stepwise backward elimination was performed for the selection of risk factors with retention of predictors with P < 0.05, and bootstrapping was used for internal validation. The likelihood ratio test was used to compare the combined and restricted models. These models were also applied to data from a cohort of patients from the Kunduz Trauma Center, Afghanistan, to validate mortality prediction in an external trauma patients population.
resultsA total of 7618 consecutive hospitalized patients from the Nap Kenbe Hospital were analyzed. Variables independently associated with in-hospital mortality were age > 45 and < = 65 years (odds ratio, 2.04), age > 65 years (odds ratio, 5.15) and the red (odds ratio, 65.08), orange (odds ratio, 3.5), and non-trauma (odds ratio, 3.15) categories. The combined model had an area under the receiver operating characteristic curve (AUROC) of 0.8723 and an AUROC corrected for optimism of 0.8601. The AUROC of the model run on the external data-set was 0.8340. The likelihood ratio test was highly significant in favor of the combined model for both the original and external data-sets.
conclusionsSATS category, patient age, and reason for admission can be used to predict in-hospital mortality. This predictive model had good discriminative ability to identify ED patients at a high risk of death and performed better than the SATS alone.
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.