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Comparison of risk-scoring systems in the prediction of outcome after liver resection

Overview of attention for article published in Perioperative Medicine, November 2017
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Title
Comparison of risk-scoring systems in the prediction of outcome after liver resection
Published in
Perioperative Medicine, November 2017
DOI 10.1186/s13741-017-0073-4
Pubmed ID
Authors

S. Ulyett, G. Shahtahmassebi, S. Aroori, M. J. Bowles, C. D. Briggs, M. G. Wiggans, G. Minto, D. A. Stell

Abstract

Risk prediction techniques commonly used in liver surgery include the American Society of Anesthesiologists (ASA) grading, Charlson Comorbidity Index (CCI) and cardiopulmonary exercise tests (CPET). This study compares the utility of these techniques along with the number of segments resected as predictive tools in liver surgery. A review of a unit database of patients undergoing liver resection between February 2008 and January 2015 was undertaken. Patient demographics, ASA, CCI and CPET variables were recorded along with resection size. Clavien-Dindo grade III-V complications were used as a composite outcome in analyses. Association between predictive variables and outcome was assessed by univariate and multivariate techniques. One hundred and seventy-two resections in 168 patients were identified. Grade III-V complications occurred after 42 (24.4%) liver resections. In univariate analysis of CPET variables, ventilatory equivalents for CO2 (VEqCO2) was associated with outcome. CCI score, but not ASA grade, was also associated with outcome. In multivariate analysis, the odds ratio of developing grade III-V complications for incremental increases in VEqCO2, CCI and number of liver segments resected were 1.09, 1.49 and 2.94, respectively. Of the techniques evaluated, resection size provides the simplest and most discriminating predictor of significant complications following liver surgery.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Researcher 4 16%
Student > Doctoral Student 3 12%
Student > Postgraduate 2 8%
Student > Bachelor 1 4%
Other 3 12%
Unknown 6 24%
Readers by discipline Count As %
Medicine and Dentistry 14 56%
Nursing and Health Professions 1 4%
Environmental Science 1 4%
Psychology 1 4%
Neuroscience 1 4%
Other 0 0%
Unknown 7 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 December 2017.
All research outputs
#18,576,855
of 23,008,860 outputs
Outputs from Perioperative Medicine
#195
of 243 outputs
Outputs of similar age
#325,802
of 438,185 outputs
Outputs of similar age from Perioperative Medicine
#9
of 11 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 243 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.