Linked Life Data

21102388

Source:http://linkedlifedata.com/resource/pubmed/id/21102388

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11
pubmed:dateCreated
2010-11-24
pubmed:abstractText
The results of meta-analyses on the effectiveness of high positive end-expiratory pressure (PEEP) and prone positioning in acute lung injury (ALI)/acute respiratory distress syndrome (ARDS) are not consistent. In addition, the meta-analyses on the activated protein C in patients with sepsis combine trials with discordant results. Therefore, the aim of this paper was to give a critical review of these meta-analyses. All relevant meta-analyses were identified by a computerized search of PubMed using combinations of the following terms: acute lung injury, acute respiratory distress syndrome, positive end-expiratory pressure, mechanical ventilation, prone position, drotrecogin, activated protein C, sepsis, and septic patients. A high level of PEEP and prone ventilation was shown to reduce the mortality in patients with severe acute hypoxemic respiratory failure. Although the evidence for the efficacy of activated protein C is not conclusive, it should be considered in patients that are at a high risk for death without any contraindications related to bleeding risk. Meta-analysis models can be very useful for clinical decisions if they include all of the similar papers on a medical topic and are correct from the methodological point of view; however, these results must be checked by a careful and well-informed reader.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
1827-1596
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
76
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
929-36
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Positive end-expiratory pressure, prone positioning, and activated protein C: a critical review of meta-analyses.
pubmed:affiliation
Medical Statistics and Biometry Unit, Department of Biomedical Sciences and Biotechnologies, University of Brescia, Brescia, Italy. cesana@med.unibs.it
pubmed:publicationType
Journal Article, Review, Meta-Analysis