Evidence map›Paper›PMID 27121607›Full record

ArticleScandinavian journal of trauma, resuscitation and emergency medicine2016

Effect of private versus emergency medical systems transportation in trauma patients in a mostly physician based system- a retrospective multicenter study based on the TraumaRegister DGU®.

Stephan Huber, Moritz Crönlein, Francesca von Matthey, Marc Hanschen, Fritz Seidl, Chlodwig Kirchhoff, Peter Biberthaler, Rolf Lefering, Stefan Huber-Wagner, TraumaRegister DGU

Abstract readMulticenter Study
In one paragraph

Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

10 authors.

Stephan HuberDepartment of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich - TUM, Ismaninger Str. 22, D-81675, Munich, Germany. stephan.huber@mri.tum.de.
Moritz CrönleinDepartment of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich - TUM, Ismaninger Str. 22, D-81675, Munich, Germany.
Francesca von MattheyDepartment of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich - TUM, Ismaninger Str. 22, D-81675, Munich, Germany.
Marc HanschenDepartment of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich - TUM, Ismaninger Str. 22, D-81675, Munich, Germany.
Fritz SeidlDepartment of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich - TUM, Ismaninger Str. 22, D-81675, Munich, Germany.
Chlodwig KirchhoffDepartment of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich - TUM, Ismaninger Str. 22, D-81675, Munich, Germany.
Peter BiberthalerDepartment of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich - TUM, Ismaninger Str. 22, D-81675, Munich, Germany.
Rolf LeferingIFOM - Institute for Research in Operative Medicine, University Witten/Herdecke, Faculty of Health, Ostmerheimer Str. 200, D-51109, Cologne, Germany.
Stefan Huber-WagnerDepartment of Trauma Surgery, Klinikum rechts der Isar, Technical University of Munich - TUM, Ismaninger Str. 22, D-81675, Munich, Germany.
TraumaRegister DGU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effects of private transportation (PT) to definitive trauma care in comparison to transportation using Emergency Medical Services (EMS) have so far been addressed by a few studies, with some of them finding a beneficial effect on survival. The aim of the current study was to investigate epidemiology, pre- and in-hospital times as well as outcomes in patients after PT as compared to EMS recorded in the TraumaRegister DGU®.

methodsAll patients in the database of the TraumaRegister DGU® (TR-DGU) from participating European trauma centers treated in 2009 to 2013 with available data on the mode of transportation, ISS ≥ 4 and ICU treatment were included in the study. Epidemiological data, pre- and in-hospital times were analysed. Outcomes were analysed after adjustment for RISC-II scores.

results76,512 patients were included in the study, of which 1,085 (1.4 %) were private transports. Distribution of ages and trauma mechanisms showed a markedly different pattern following PT, with more children < 15 years treated following PT (3.3 % EMS vs. 9.6 for PT) and more elderly patients of 65 years or older (26.6 vs 32.4 %). Private transportation to trauma care was by far more frequent in Level 2 and 3 hospitals (41.2 % in EMS group vs 73.7 %). Median pre-hospital times were also reduced following PT (59 min for EMS vs. 46 for PT). In-hospital time in the trauma room (66 for EMS vs. 103 min for PT) and time to diagnostics were prolonged following PT. Outcome analysis after adjustment for RISC-II scores showed a survival benefit of PT over EMS transport (SMR for EMS 1.07 95 % CI 1.05-1.09; for PT 0.85 95 % CI 0.62-1.08). DISCUSSION: The current study shows a distinct pattern concerning epidemiology and mechanism of injury following PT. PT accelerates the median pre-hospital times, but prolongs time to diagnostic measures and time in the trauma room.

conclusionsIn this distinct collective, PT seemed to lead to a small benefit in terms of mortality, which may reflect pre-hospital times, pre-hospital interventions or other confounders.

Indexed as

RegistriesAgedAmbulancesEuropeFemaleFollow-Up StudiesHospital MortalityHumansMaleMiddle AgedMultiple TraumaRetrospective StudiesTransportation of PatientsTrauma CentersEmergency departmentEmergency servicesPolytraumaPrivate transport

Identifiers

PMID27121607
PMCPMC4849091

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.