Evidence map›Paper›PMID 33051727›Full record

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

mTICCS and its inter-rater reliability to predict the need for massive transfusion in severely injured patients.

Klemens Horst, Philipp Lichte, Felix Bläsius, Christian David Weber, Martin Tonglet, Philipp Kobbe, Nicole Heussen, Frank Hildebrand

Open access · hybridAbstract read
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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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

8 authors at 3 institutions in 3 countries.

Klemens HorstDepartment of Trauma and Reconstructive Surgery, University Hospital RWTH Aachen, RWTH Aachen University, Pauwelsstraße 30, 52074, Aachen, Germany. khorst@ukaachen.de.
Philipp LichteDepartment of Trauma and Reconstructive Surgery, University Hospital RWTH Aachen, RWTH Aachen University, Pauwelsstraße 30, 52074, Aachen, Germany.
Felix BläsiusDepartment of Trauma and Reconstructive Surgery, University Hospital RWTH Aachen, RWTH Aachen University, Pauwelsstraße 30, 52074, Aachen, Germany.
Christian David WeberDepartment of Trauma and Reconstructive Surgery, University Hospital RWTH Aachen, RWTH Aachen University, Pauwelsstraße 30, 52074, Aachen, Germany.
Martin TongletDepartment of Emergency, Liege University Hospital, Domaine du Sart Tilman, 4000, Liège, Belgium.
Philipp KobbeDepartment of Trauma and Reconstructive Surgery, University Hospital RWTH Aachen, RWTH Aachen University, Pauwelsstraße 30, 52074, Aachen, Germany.
Nicole HeussenDepartment of Medical Statistics, RWTH Aachen University, 52074, Aachen, Germany.
Frank HildebrandDepartment of Trauma and Reconstructive Surgery, University Hospital RWTH Aachen, RWTH Aachen University, Pauwelsstraße 30, 52074, Aachen, Germany.
RWTH Aachen University · DESigmund Freud University Vienna · ATUniversity of Liège · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe modified Trauma-Induced Coagulopathy Clinical Score (mTICCS) presents a new scoring system for the early detection of the need for a massive transfusion (MT). This easily applicable score was validated in a large trauma cohort and proven comparable to more established complex scoring systems. However, the inter-rater reliability of the mTICCS has not yet been investigated.

methodsTherefore, a dataset of 15 randomly selected and severely injured patients (ISS ≥ 16) derived from the database of a level I trauma centre (2010-2015) was used. Moreover, 15 severely injured subjects that received MT were chosen from the same databank. A web-based survey was sent to medical professionals working in the field of trauma care asking them to evaluate each patient using the mTICCS.

resultsIn total, 16 raters (9 residents and 7 specialists) completed the survey. Ratings from 15 medical professionals could be evaluated and led to an ICC of 0.7587 (95% Bootstrap confidence interval (BCI) 0.7149-0.8283). A comparison of working experience specific ICC (n = 7 specialists, ICC: 0.7558, BCI: 0.7076-0.8270; n = 8 residents, ICC: 0.7634, BCI: 0.7183-0.8335) showed no significant difference between the two groups (p = 0.67).

conclusionIn summary, reliability values need to be considered when making clinical decisions based on scoring systems. Due to its easy applicability and its almost perfect inter-rater reliability, even with non-specialists, the mTICCS might therefore be a useful tool to predict the early need for MT in multiple trauma.

Indexed as

Blood Coagulation DisordersMultiple TraumaBlood TransfusionHumansReproducibility of ResultsTrauma CentersBleedingInter-rater reliabilityMassive transfusionmTICCSMultiple traumaPolytraumaReliabilityShockTICCSTransfusion

Identifiers

PMID33051727
PMCPMC8825405
OpenAlexW3092487030

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.