ReviewUnfallchirurgie (Heidelberg, Germany)2024
[Utilization of registers to create an evidence-based approach in catastrophes and civil defence].
Review in Unfallchirurgie (Heidelberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07440329 (KAEPacity - Eine Vergleichende Analyse Der Krankenhausalarm- Und Einsatzpläne), which is not on this map. Not yet cited in PubMed.
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.
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.
KAEPacity - Eine Vergleichende Analyse Der Krankenhausalarm- Und Einsatzpläne (KAEP) Deutscher Krankenhäuser
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Medical data registers are a key instrument of medical care research and a valuable tool for medical quality assurance. The structured plausibility tested documentation of large case numbers on a longitudinally oriented time axis with different points in time of data acquisition enables statements to be made on numerous relevant outcomes, not only the mortality of patients. For incidents outside the daily routine care in trauma surgery, such as natural disasters, accidents with multiple casualties and nonmilitary treatment of the domestic population in defence situations, such registers can provide data-based recommendations for action. These data, mainly obtained from routine traumatological treatment, enable a targeted resource management in the abovenamed incidents, which are associated with mass casualties. Due to the utilization of registers from the military field or from international registers, the perspective is additionally extended with respect to treatment strategies and injury patterns. Whether data can also be generated in a suitable manner for the abovenamed registers in specific disaster situations and can provide a direct gain of knowledge from the incident, must be critically discussed. The maintenance of the register datasets is time-consuming and has been subjected to a more stringent regulation at least since May 2018, when the European Union General Data Protection Regulation (EU-GDPR) came into force. The future Register Act in Germany will hopefully achieve greater simplification in the documentation of routine data.
Indexed as
Identifiers
39392474What OpenQuestion holds
Registered trials
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.