Evidence map›Paper›PMID 31890483›Full record

ArticleAfrican journal of emergency medicine : Revue africaine de la medecine d'urgence2019

Evaluating trauma scoring systems for patients presenting with gunshot injuries to a district-level urban public hospital in Cape Town, South Africa.

Amalia Liljequist Aspelund, Mohamed Quraish Patel, Lisa Kurland, Michael McCaul, Daniël Jacobus van Hoving

Open access · goldAbstract read
In one paragraph

Article in African journal of emergency medicine : Revue africaine de la medecine d'urgence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

7 citing papers in PubMed, 23 citations in OpenAlex.

  1. Evaluating the effectiveness of trauma scores in predicting morbidity and mortality in patients with concomitant thoracic trauma.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2026
    Article
  2. Article
  3. Non-urgent patients in emergency centres in Western Cape district health services.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2025
    Article
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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

5 authors at 3 institutions in 2 countries.

Amalia Liljequist AspelundDepartment of Research and Education, Karolinska Institutet, Stockholm, Sweden.
Mohamed Quraish PatelDepartment of Surgery, Khayelitsha Hospital, Cape Town, South Africa.
Lisa KurlandDepartment of Research and Education, Karolinska Institutet, Stockholm, Sweden.
Michael McCaulBiostatistics Unit, Division of Epidemiology and Biostatistics, Department of Global Health, Stellenbosch University, South Africa.
Daniël Jacobus van HovingDivision of Emergency Medicine, Stellenbosch University, Cape Town, South Africa.
Karolinska Institutet · SEStellenbosch University · ZASouth African Heart Association · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTrauma scoring systems are widely used in emergency settings to guide clinical decisions and to predict mortality. It remains unclear which system is most suitable to use for patients with gunshot injuries at district-level hospitals. This study compares the Triage Early Warning Score (TEWS), Injury Severity Score (ISS), Trauma and Injury Severity Score (TRISS), Kampala Trauma Score (KTS) and Revised Trauma Score (RTS) as predictors of mortality among patients with gunshot injuries at a district-level urban public hospital in Cape Town, South Africa.

methodsGunshot-related patients admitted to the resuscitation area of Khayelitsha Hospital between 1 January 2016 and 31 December 2017 were retrospectively analysed. Receiver Operating Characteristic (ROC) analysis were used to determine the accuracy of each score to predict all-cause in-hospital mortality. The odds ratio (with 95% confidence intervals) was used as a measure of association.

resultsIn total, 331 patients were included in analysing the different scores (abstracted from database n = 431, excluded: missing files n = 16, non gunshot injury n = 10, <14 years n = 1, information incomplete to calculate scores n = 73). The mortality rate was 6% (n = 20). The TRISS and KTS had the highest area under the ROC curve (AUC), 0.90 (95% CI 0.83-0.96) and 0.86 (95% CI 0.79-0.94), respectively. The KTS had the highest sensitivity (90%, 95% CI 68-99%), while the TEWS and RTS had the highest specificity (91%, 95% CI 87-94% each).

conclusionsNone of the different scoring systems performed better in predicting mortality in this high-trauma burden area. The results are limited by the low number of recorded deaths and further studies are needed.

Indexed as

GunshotMortalityPredictionSeveritySouth AfricaTrauma

Identifiers

PMID31890483
PMCPMC6933194
OpenAlexW2969084324

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.