Evidence map›Paper›PMID 33900416›Full record

ArticleEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2022

RISC II is superior to TRISS in predicting 30-day mortality in blunt major trauma patients in Hong Kong.

Kei Ching Kevin Hung, Chun Yu Lai, Janice Hiu Hung Yeung, Marc Maegele, Po Shan Lily Chan, Ming Leung, Hay Tai Wong, John Kit Shing Wong, Ling Yan Leung, Marc Chong and 3 more

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In one paragraph

Article in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Seven-year excess mortality, functional outcome and health status after trauma in Hong Kong.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2022
    Article
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

13 authors at 6 institutions in 3 countries.

Kei Ching Kevin HungAccident and Emergency Medicine Academic Unit, The Chinese University of Hong Kong, Shatin, Hong Kong.
Chun Yu LaiAccident and Emergency Medicine Academic Unit, The Chinese University of Hong Kong, Shatin, Hong Kong.
Janice Hiu Hung YeungAccident and Emergency Medicine Academic Unit, The Chinese University of Hong Kong, Shatin, Hong Kong.
Marc MaegeleCologne-Merheim Medical Center (CMMC), Department of Trauma and Orthopedic Surgery, University Witten/Herdecke, Campus Cologne-Merheim, Cologne, Germany.
Po Shan Lily ChanTrauma Service, Queen Elizabeth Hospital, 30 Gascoigne Road, Kowloon, Hong Kong.
Ming LeungDepartment of Surgery, Princess Margaret Hospital, 2‑10 Princess Margaret Hospital Road, Lai Chi Kok, Kowloon, Hong Kong.
Hay Tai WongTrauma Service, Queen Mary Hospital, 102 Pok Fu Lam Road, Hong Kong Island, Hong Kong.
John Kit Shing WongTrauma Service, Tuen Mun Hospital, 23 Tsing Chung Koon Road, Tuen Mun, New Territories, Hong Kong.
Ling Yan LeungAccident and Emergency Medicine Academic Unit, The Chinese University of Hong Kong, Shatin, Hong Kong.
Marc ChongSchool of Public Health and Primary Care, Chinese University of Hong Kong, Shatin, Hong Kong.
Chi Hung ChengAccident and Emergency Medicine Academic Unit, The Chinese University of Hong Kong, Shatin, Hong Kong.
Nai Kwong CheungAccident and Emergency Medicine Academic Unit, The Chinese University of Hong Kong, Shatin, Hong Kong.
Colin Alexander GrahamAccident and Emergency Medicine Academic Unit, The Chinese University of Hong Kong, Shatin, Hong Kong. cagraham@cuhk.edu.hk.ORCID http://orcid.org/0000-0002-4381-7470
Chinese University of Hong Kong · HKHospital Authority · HKQueen Elizabeth Hospital · CNQueen Mary Hospital · CNTuen Mun Hospital · CNWitten/Herdecke University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHong Kong (HK) trauma registries have been using the Trauma and Injury Severity Score (TRISS) for audit and benchmarking since their introduction in 2000. We compare the mortality prediction model using TRISS and Revised Injury Severity Classification, version II (RISC II) for trauma centre patients in HK.

methodsThis was a retrospective cohort study with all five trauma centres in HK. Adult trauma patients with Injury Severity Score (ISS) > 15 suffering from blunt injuries from January 2013 to December 2015 were included. TRISS models using the US and local coefficients were compared with the RISC II model. The primary outcome was 30-day mortality and the area under the receiver operating characteristic curve (AUC) for tested models.

results1840 patients were included, of whom 1236/1840 (67%) were male. Median age was 59 years and median ISS was 25. Low falls were the most common mechanism of injury. The 30-day mortality was 23%. RISC II yielded a superior AUC of 0.896, compared with the TRISS models (MTOS: 0.848; PATOS: 0.839; HK: 0.858). Prespecified subgroup analyses showed that all the models performed worse for age ≥ 70, ASA ≥ III, and low falls. RISC II had a higher AUC compared with the TRISS models in all subgroups, although not statistically significant.

conclusionRISC II was superior to TRISS in predicting the 30-day mortality for Hong Kong adult blunt major trauma patients. RISC II may be useful when performing future audit or benchmarking exercises for trauma in Hong Kong.

Indexed as

Wounds and InjuriesWounds, NonpenetratingAdultHong KongHumansInjury Severity ScoreMaleMiddle AgedPredictive Value of TestsRetrospective StudiesTrauma Severity IndicesRISC IITrauma centreTRISSWounds and Injuries

Identifiers

PMID33900416
OpenAlexW3159770765

What OpenQuestion holds

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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.