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Hypoxia and Outcome Prediction in Early-Stage Coma (Project HOPE): an observational prospective cohort study

Overview of attention for article published in BMC Neurology, May 2015
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Title
Hypoxia and Outcome Prediction in Early-Stage Coma (Project HOPE): an observational prospective cohort study
Published in
BMC Neurology, May 2015
DOI 10.1186/s12883-015-0337-x
Pubmed ID
Authors

Alex Lopez-Rolon, Andreas Bender, on behalf of the Project HOPE Investigator Group

Abstract

The number of resuscitated cardiac arrest patients suffering from anoxic-ischemic encephalopathy is considerable. However, outcome prediction parameters such as somatosensory evoked potentials need revision because they are based on data predating the implementation of mild therapeutical hypothermia and because data from our own laboratory suggest that they may fail to predict prognosis accurately. The present research project "Hypoxia and Outcome Prediction in Early-Stage Coma" is an ongoing observational prospective cohort study that aims to improve outcome prediction in anoxic coma by limiting the effects of falsely pessimistic predictions at the intensive care unit. Our outcome analysis is based on functional and behavioural definitions. This implies the analysis of the positive predictive value of prognostic markers yielding either positive or negative results. We also analyse the effect of covariates adjusted for age and sex such as sociodemographic variables, prognostic variables and treatment factors on functional and behavioural outcomes, with mixed effects regression models (i.e. fixed and random effects). We expect to enrol 172 patients based on the result of previous research. The null hypothesis is that there is a probability of <10 % that a positive outcome will be observed despite the presence of any of the predictors of a poor/negative outcome. We test the null hypothesis against a one-sided alternative using a Simon's two-stage design to determine whether is warranted to recruit the full number of patients suggested by a power analysis. The second stage has a design with a Type I error rate of 0.05 and 80 % power if the true response rate is 25 %. We aim to make a significant contribution to the revision and improvement of current outcome prediction methods in anoxic-ischemic encephalopathy patients. As a result, neurocritical care specialists worldwide will have considerably more accurate methods for prognosticating the outcome of anoxic-ischemic encephalopathy following cardiac arrest. This will facilitate the provision of treatment tailored to individual patients and the attainment of an optimal quality of life. It will also inform the decision to withdraw treatment with a level of accuracy never seen before in the field. ClinicalTrials.gov NCT02231060 (registered 29 August 2014).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 23%
Student > Ph. D. Student 8 13%
Student > Master 5 8%
Other 5 8%
Student > Doctoral Student 4 7%
Other 6 10%
Unknown 18 30%
Readers by discipline Count As %
Medicine and Dentistry 16 27%
Neuroscience 6 10%
Nursing and Health Professions 4 7%
Psychology 4 7%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 8 13%
Unknown 20 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 June 2015.
All research outputs
#14,225,412
of 22,805,349 outputs
Outputs from BMC Neurology
#1,222
of 2,435 outputs
Outputs of similar age
#138,246
of 264,751 outputs
Outputs of similar age from BMC Neurology
#21
of 36 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,435 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.