The CNS theory of osteoarthritis: Opportunities beyond the joint
Seminars in Arthritis and Rheumatism, ISSN: 0049-0172, Vol: 49, Issue: 3, Page: 331-336
2019
- 33Citations
- 60Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations33
- Citation Indexes33
- 33
- CrossRef24
- Captures60
- Readers60
- 60
Review Description
Osteoarthritis (OA) is a leading cause of global disability that affects more than half of the population over 65. It is not a single disease but a progressive, inflammatory- and immune-altering multi-disease that affects the whole joint. OA has many risk factors including age, obesity, gender, lifestyle, joint morphology, metabolic dysfunction and genetic disposition. A major stumbling block in treating clinical OA has been the inability to detect its early onset and disease progression. This gap in understanding may arise from our failure to recognize that the OA patient exhibits a vulnerability to dysregulation of central feedback circuits that control sympathetic tone, inflammation, circadian rhythms (central and peripheral clocks), gut microbiome, metabolic redox and whole joint pathology. Early detection of OA and slowing its progression may come from discoveries outside the joint targeting these potentially modifiable upstream targets. We argue that future treatments may benefit from moving from a knee-centric viewpoint to a more systems-based, whole-body approach. The challenge, however, will be to better characterize these key circuits and apply this knowledge to develop new therapies and interventions.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0049017219300125; http://dx.doi.org/10.1016/j.semarthrit.2019.03.008; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85064256409&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/30982553; https://linkinghub.elsevier.com/retrieve/pii/S0049017219300125; https://dx.doi.org/10.1016/j.semarthrit.2019.03.008
Elsevier BV
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