Evidence map›Paper›PMID 39251893›Full record

ArticleBMC emergency medicine2024

Comparing NEWS2, TRISS, and RTS in predicting mortality rate in trauma patients based on prehospital data set: a diagnostic study.

Mohammad Reza Yousefi, Mehrdad Karajizadeh, Mehdi Ghasemian, Shahram Paydar

Abstract readComparative Study
In one paragraph

Article in BMC emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Observational
  2. Article
  3. Influence of frailty on short-term mortality in older patients with multiple trauma in the emergency department.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Observational
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
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  10. 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

4 authors.

Mohammad Reza YousefiTrauma Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID http://orcid.org/0000-0002-9873-0946
Mehrdad KarajizadehTrauma Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. mehrdad.karaji@gmail.com.ORCID http://orcid.org/0000-0002-9297-3488
Mehdi GhasemianTrauma Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID http://orcid.org/0009-0005-8101-650X
Shahram PaydarTrauma Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID http://orcid.org/0000-0002-6980-2576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the recent years, National Early Warning Score2 (NEWS2) is utilized to predict early on, the worsening of clinical status in patients. To this date the predictive accuracy of National Early Warning Score (NEWS2), Revised Trauma Score (RTS), and Trauma and injury severity score (TRISS) regarding the trauma patients' mortality rate have not been compared. Therefore, the objective of this study is comparing NEWS2, TRISS, and RTS in predicting mortality rate in trauma patients based on prehospital data set.

methodsThis cross-sectional retrospective diagnostic study performed on 6905 trauma patients, of which 4191 were found eligible, referred to the largest trauma center in southern Iran, Shiraz, during 2022-2023 based on their prehospital data set in order to compare the prognostic power of NEWS2, RTS, and TRISS in predicting in-hospital mortality rate. Patients are divided into deceased and survived groups. Demographic data, vital signs, and GCS were obtained from the patients and scoring systems were calculated and compared between the two groups. TRISS and ISS are calculated with in-hospital data set; others are based on prehospital data set.

resultsA total of 129 patients have deceased. Age, cause of injury, length of hospital stay, SBP, RR, HR, temperature, SpO2, and GCS were associated with mortality (p-value < 0.001). TRISS and RTS had the highest sensitivity and specificity respectively (77.52, CI 95% [69.3-84.4] and 93.99, CI 95% [93.2-94.7]). TRISS had the highest area under the ROC curve (0.934) followed by NEWS2 (0.879), GCS (0.815), RTS (0.812), and ISS (0.774). TRISS and NEWS were superior to RTS, GCS, and ISS (p-value < 0.0001).

conclusionThis novel study compares the accuracy of NEWS2, TRISS, and RTS scoring systems in predicting mortality rate based on prehospital data. The findings suggest that all the scoring systems can predict mortality, with TRISS being the most accurate of them, followed by NEWS2. Considering the time consumption and ease of use, NEWS2 seems to be accurate and quick in predicting mortality based on prehospital data set.

Indexed as

Hospital MortalityWounds and InjuriesAdultAgedCross-Sectional StudiesEarly Warning ScoreEmergency Medical ServicesFemaleHumansInjury Severity ScoreIranMaleMiddle AgedPrognosisRetrospective StudiesTrauma Severity IndicesMortality ratePrehospital vital signsScoring systemTrauma

Identifiers

PMID39251893
PMCPMC11382384

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LicenceCC BY-NC-ND
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Registered trials

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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.