Evidence map›Paper›PMID 30225633›Full record

ReviewDer Unfallchirurg2018

[The TraumaRegister DGU® dataset, its development over 25 years and advances in the care of severely injured patients].

H Trentzsch, M Maegele, U Nienaber, T Paffrath, R Lefering

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Unfallchirurg, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

5 authors.

H TrentzschInstitut für Notfallmedizin und Medizinmanagement (INM), Klinikum der Universität München, LMU München, Schillerstr. 51, 80336, München, Deutschland. heiko.trentzsch@med.uni-muenchen.de.
M MaegeleKlinik für Unfallchirurgie, Orthopädie & Sporttraumatologie, Klinikum der Privaten Universität Witten/Herdecke , Köln-Merheim, Deutschland.
U NienaberAUC Akademie der Unfallchirurgie GmbH, München, Deutschland.
T PaffrathKlinik für Unfallchirurgie, Orthopädie & Sporttraumatologie, Klinikum der Privaten Universität Witten/Herdecke , Köln-Merheim, Deutschland.
R LeferingInstitut für Forschung in der operativen Medizin (IFOM), Universität Witten/Herdecke, Köln, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the publication in 1993, the dataset and documentation form of the TraumaRegister DGU® (TR-DGU) have continuously evolved. On the occasion of the 25th anniversary the authors have analyzed this evolution in order to reflect it in the light of medical progress in the treatment of the severely injured. MATERIAL AND

methodsEnrolled in the study were 5 reference data entry sheets from the years 1993, 1996, 2002, 2009 and 2016. Every piece of information (item) queried therein was entered into the study database, was categorized by topic and counted for further analysis.

resultsThe arrangement of the 4‑page data entry form has remained practically unchanged since 1993 and includes an average of 212 items. A total of 491 items were identified of which 64 were present throughout every dataset. Based on the average extent of the form this equals a proportion of approximately 30%. The dataset actually shows much more consistency than this number suggests because many changes can be traced back to a smarter design of the data entry form. Most items fell into the categories "results/diagnosis" (143 items/29.1%), "coagulation" (104/21.2%) and "surgical approach" (40/8.1%). Many items serve as raw data for the calculation of prognostic risk scores, such as the trauma and injury severity score (TRISS), the revised injury severity classification II (RISC II) and the trauma associated severe hemorrhage (TASH) score. Currently, nine scores can be calculated from the dataset.

conclusionThe members of the working group TraumaRegister all actively participate in the treatment of severely injured patients. For 25 years this group has managed to unify the latest medical developments and well-established parameters within the TR-DGU dataset at a relatively constant degree of effort for documentation. Practice in place of theory is the driving force behind this development that serves quality assurance and research in the treatment of severely injured patients.

Indexed as

Databases, FactualDocumentationGermanyHumansQuality Assurance, Health CareRegistriesRisk FactorsTraumatologyWounds and InjuriesBlood coagulationDamage control surgeryData collectionDocumentationWhole-body imaging

Identifiers

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.