Evidence map›Paper›PMID 33037459›Full record

ReviewMedizinische Klinik, Intensivmedizin und Notfallmedizin2020

[Intensive care back up for infectious disease disasters].

D Wichmann, H Matthews, M F Nentwich, S Schmiedel, S Kluge

Open access · hybridAbstract readReview
In one paragraph

Review in Medizinische Klinik, Intensivmedizin und Notfallmedizin, 2020. 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 48% 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, 4 citations in OpenAlex.

  1. Article
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 at 3 institutions in 1 country.

D WichmannKlinik für Intensivmedizin, Universitätsklinikum Hamburg-Eppendorf, Martinistr. 52, 20251, Hamburg, Deutschland. d.wichmann@uke.de.
H MatthewsKlinik für Intensivmedizin, Universitätsklinikum Hamburg-Eppendorf, Martinistr. 52, 20251, Hamburg, Deutschland.
M F NentwichKlinik für Intensivmedizin, Universitätsklinikum Hamburg-Eppendorf, Martinistr. 52, 20251, Hamburg, Deutschland.
S SchmiedelSektion Infektiologie, I. Medizinische Klinik und Poliklinik, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland.
S KlugeKlinik für Intensivmedizin, Universitätsklinikum Hamburg-Eppendorf, Martinistr. 52, 20251, Hamburg, Deutschland.
University Medical Center Hamburg-Eppendorf · DEMartini-Klinik · DEUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOutbreaks of infectious diseases pose particular challenges for hospitals and intensive care units.

objectivesTypical infectiological scenarios and their significance for modern intensive care medicine are presented. MATERIALS AND

methodsSelected pathogens/infectious diseases that have significantly strained the resources of intensive care units are described.

resultsIntensive medical care is necessary in severe cases of many infectious diseases. In the context of epidemics/pandemics, many critically ill patients have to be admitted within a short time. Examples are the 2009 H1N1 influenza pandemic, the 2011 enterohemorrhagic Escherichia coli (EHEC) outbreak in northern Germany, the 2014/2015 Ebola fever outbreak and the 2020 coronavirus disease 19 (COVID-19) pandemic. Multidisciplinary teams, protocol development, adequate staffing, and training are required to achieve optimal treatment outcomes, including prevention of healthcare worker infections.

conclusionsPandemics and epidemics are unique challenges for intensive care unit preparedness planning.

Indexed as

Coronavirus InfectionsDisastersInfluenza A Virus, H1N1 SubtypePandemicsPneumonia, ViralBetacoronavirusCOVID-19Critical CareGermanyHumansSARS-CoV-2CoronavirusEnterohemorrhagic Escherichia coliHuman influenzaPandemicsPersonal protection equipment

Identifiers

PMID33037459
PMCPMC7546520
OpenAlexW3092225601

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.