Evidence map›Paper›PMID 35920415›Full record

Observational studyUlusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES2022

Predictive value of modified early warning score for massive transfusion in patients with traumatic brain injury.

Hwa Rang Chae, Dong Hun Lee, Byung Kook Lee, Dong Ki Kim

Abstract readObservational Study
In one paragraph

Observational study in Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. 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.

Hwa Rang ChaeDepartment of Emergency Medicine, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju-Korea.
Dong Hun LeeDepartment of Emergency Medicine, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju-Korea.
Byung Kook LeeDepartment of Emergency Medicine, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju-Korea.
Dong Ki KimDepartment of Emergency Medicine, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju-Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExsanguination can be fatal in patients with traumatic brain injury (TBI). We aimed to analyze and compare the prognostic performances of injury severity score (ISS), revised trauma score (RTS), shock index (SI), and modified early warning score (MEWS) for predicting massive transfusion (MT) in severe trauma patients with TBI.

methodsIn this retrospective observational study, severe trauma patients with TBI who visited our emergency department between January 2018 and December 2020 were included in the study. TBI was considered when abbreviated injury scale was 3 or higher. The primary outcome was MT.

resultsA total of 1108 patients were included, and MT was performed in 92 (8.3%) patients. Receiver operating characteristic analyses were performed to evaluate the accuracy of ISS, RTS, SI, and MEWS for predicting MT. The area under curves (AUCs) of ISS, SI, RTS, and MEWS for predicting MT were 0.725 (95% confidence interval [CI], 0.698-0.751), 0.676 (95% CI, 0.648-0.704), 0.769 (95% CI, 0.743-0.793), and 0.808 (95% CI, 0.784-0.831), respectively. The AUC of MEWS was significantly different from the AUCs of ISS and SI but not the AUC of RTS for predicting MT. In a multivariate analysis, Glasgow Coma Scale (odds ratio [OR], 0.856; 95% CI, 0.803-0.911), body temperature (OR, 0.596; 95% CI, 0.386-0.920), and fresh frozen plasma (OR, 2.031; 95% CI, 1.794-2.299) were independently associated with MT. MEWS (OR, 1.425; 95% CI, 1.256-1.618) was independently associated with MT after adjustment for confounders.

conclusionMEWS may be a useful tool for predicting MT in severe trauma patients with TBI.

Indexed as

Brain Injuries, TraumaticEarly Warning ScoreShockBlood TransfusionGlasgow Coma ScaleHumansInjury Severity ScoreRetrospective Studies

Identifiers

PMID35920415
PMCPMC10315988

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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.