scispace - formally typeset
Search or ask a question
Institution

University of British Columbia

EducationVancouver, British Columbia, Canada
About: University of British Columbia is a education organization based out in Vancouver, British Columbia, Canada. It is known for research contribution in the topics: Population & Health care. The organization has 89939 authors who have published 209679 publications receiving 9226862 citations. The organization is also known as: UBC & The University of British Columbia.


Papers
More filters
Journal ArticleDOI
TL;DR: Current evidence suggests many health benefits from physical activity during and post cancer treatments, and with few exceptions, exercise was well tolerated during and pre and post treatment without adverse events.
Abstract: Introduction Approximately 11.1 million cancer survivors are alive in the United States. Activity prescriptions for cancer survivors rely on evidence as to whether exercise during or after treatment results in improved health outcomes. This systematic review and meta-analysis evaluates the extent to which physical activity during and post treatment is appropriate and effective across the cancer control continuum. Methods A systematic quantitative review of the English language scientific literature searched controlled trials of physical activity interventions in cancer survivors during and post treatment. Data from 82 studies were abstracted, weighted mean effect sizes (WMES) were calculated from 66 high quality studies, and a systematic level of evidence criteria was applied to evaluate 60 outcomes. Reports of adverse events were abstracted from all studies. Results Quantitative evidence shows a large effect of physical activity interventions post treatment on upper and lower body strength (WMES=0.99 & 0.90, p<0.0001 & 0.024, respectively) and moderate effects on fatigue and breast cancer-specific concerns (WMES=�0.54 & 0.62, p=0.003 & 0.003, respectively). A small to moderate positive effect of physical activity during treatment was seen for physical activity level, aerobic fitness, muscular strength, functional quality of life, anxiety, and self-esteem. With few exceptions, exercise was well tolerated during and post treatment without adverse events. Conclusions Current evidence suggests many health benefits from physical activity during and post cancer treatments. Additional studies are needed in cancer diagnoses other than breast and with a focus on survivors in greatest need of improvements for the health outcomes of interest.

1,217 citations

Journal ArticleDOI
TL;DR: The basic theory and extensions of mean-variance analysis are discussed in Markowitz as discussed by the authors and Ziemba & Vickson [1975] and Bawa, Brown & Klein [1979] and Michaud [1989] review some of its problems.
Abstract: There is considerable literature on the strengths and limitations of mean-variance analysis. The basic theory and extensions of MV analysis are discussed in Markowitz [1987] and Ziemba & Vickson [1975]. Bawa, Brown & Klein [1979] and Michaud [1989] review some of its problems…

1,217 citations

Journal ArticleDOI
TL;DR: In this article, the authors reviewed the current state of all solid-state lithium batteries with major focus on the material aspects, including inorganic ceramic and organic solid polymer electrolyte materials, and emphasized the importance of the electrolytes and their associated interfaces with electrodes as well as their effects on the battery performance.

1,217 citations

Journal ArticleDOI
TL;DR: The purpose and mechanisms of the leading algorithms, with a particular emphasis on metazoan sequence analysis, are introduced and key issues that users should take into consideration in interpreting the results are identified.
Abstract: The compilation of multiple metazoan genome sequences and the deluge of large-scale expression data have combined to motivate the maturation of bioinformatics methods for the analysis of sequences that regulate gene transcription. Historically, these bioinformatics methods have been plagued by poor predictive specificity, but new bioinformatics algorithms that accelerate the identification of regulatory regions are drawing disgruntled users back to their keyboards. However, these new approaches and software are not without problems. Here, we introduce the purpose and mechanisms of the leading algorithms, with a particular emphasis on metazoan sequence analysis. We identify key issues that users should take into consideration in interpreting the results and provide an online training example to help researchers who wish to test online tools before taking an independent foray into the bioinformatics of transcription regulation.

1,217 citations


Authors

Showing all 90682 results

NameH-indexPapersCitations
Gordon H. Guyatt2311620228631
John C. Morris1831441168413
Douglas Scott1781111185229
John R. Yates1771036129029
Deborah J. Cook173907148928
Richard A. Gibbs172889249708
Evan E. Eichler170567150409
James F. Sallis169825144836
Michael Snyder169840130225
Jiawei Han1681233143427
Michael Kramer1671713127224
Bruce L. Miller1631153115975
Peter A. R. Ade1621387138051
Marc W. Kirschner162457102145
Kaj Blennow1601845116237
Network Information
Related Institutions (5)
University of Toronto
294.9K papers, 13.5M citations

99% related

University of Minnesota
257.9K papers, 11.9M citations

96% related

University of Washington
305.5K papers, 17.7M citations

96% related

University of California, San Diego
204.5K papers, 12.3M citations

96% related

Cornell University
235.5K papers, 12.2M citations

95% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023307
20221,209
202113,228
202012,052
201910,934