Title |
The effects of goal-directed fluid therapy based on dynamic parameters on post-surgical outcome: a meta-analysis of randomized controlled trials
|
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Published in |
Critical Care, October 2014
|
DOI | 10.1186/s13054-014-0584-z |
Pubmed ID | |
Authors |
Jan Benes, Mariateresa Giglio, Nicola Brienza, Frederic Michard |
Abstract |
Dynamic predictors of fluid responsiveness, namely systolic pressure variation, pulse pressure variation, stroke volume variation and pleth variability index have been shown to be useful to identify in advance patients who will respond to a fluid load by a significant increase in stroke volume and cardiac output. As a result, they are increasingly used to guide fluid therapy. Several randomized controlled trials have tested the ability of goal-directed fluid therapy (GDFT) based on dynamic parameters (GDFTdyn) to improve post-surgical outcome. These studies have yielded conflicting results. Therefore, we performed this meta-analysis to investigate whether the use of GDFTdyn is associated with a decrease in post-surgical morbidity. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 15% |
Spain | 1 | 8% |
Switzerland | 1 | 8% |
United States | 1 | 8% |
Greece | 1 | 8% |
Unknown | 7 | 54% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 5 | 38% |
Members of the public | 5 | 38% |
Science communicators (journalists, bloggers, editors) | 2 | 15% |
Scientists | 1 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 4 | 2% |
France | 1 | <1% |
Italy | 1 | <1% |
Turkey | 1 | <1% |
Czechia | 1 | <1% |
Belgium | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Unknown | 231 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 39 | 16% |
Other | 37 | 15% |
Student > Master | 23 | 10% |
Student > Ph. D. Student | 20 | 8% |
Student > Postgraduate | 19 | 8% |
Other | 57 | 24% |
Unknown | 47 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 140 | 58% |
Nursing and Health Professions | 9 | 4% |
Engineering | 9 | 4% |
Agricultural and Biological Sciences | 5 | 2% |
Neuroscience | 4 | 2% |
Other | 14 | 6% |
Unknown | 61 | 25% |