Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Contribution of central and peripheral risk factors to prevalence, incidence and progression of knee pain: a community-based cohort study

Autor: Sarmanova, Aliya, Fernandes, Gwen Sascha, Richardson, H, Valdes, A M, Walsh, David Andrew, Zhang, Weiya, Doherty, Michael

Publikováno v: Osteoarthritis and Cartilage
Sarmanova, A, Fernandes, G S, Richardson, H, Valdes, A M, Walsh, D A, Zhang, W & Doherty, M 2018, ' Contribution of central and peripheral risk factors to prevalence, incidence and progression of knee pain : a community-based cohort study ', Osteoarthritis and Cartilage, vol. 26, no. 11, pp. 1461-1473 . https://doi.org/10.1016/j.joca.2018.07.013

AIM: To explore risk factors that may influence knee pain (KP) through central or peripheral mechanisms.METHODS: A questionnaire-based prospective community cohort study with KP defined as pain in or around a knee on most days for at least a month. B

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::4ad69d0aab2a38a37a317af04c08c561
http://europepmc.org/articles/PMC6215758

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Prediction of persistent knee pain by pressure pain detection thresholds: results from the Knee Pain In the Community cohort (KPIC)

Autor: McWilliams, Daniel F., Frowd, Nadia, Marshall, Laura, Stocks, Joanne, Sarmanova, Aliya, Fernandes, Gwen Sascha, Hall, Michelle C., Zhang, Weiya, Doherty, Michael, Walsh, David A.

Publikováno v: EULAR 2018 (Annual European Congress of Rheumatology)

Background:\ud Knee pain results from a combination of nociceptive input from the joint, and processing by the central nervous system. Pressure pain detection thresholds (PPTs) are lower and pain is more severe in people with greater central sensitis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::38a401efb6f67e827fe6d1a97d2efeff

Risk prediction model for knee pain in the Nottingham Community: a Bayesian modeling approach

Autor: Fernandes, Gwen Sascha, Bhattacharya, Archan, McWilliams, Daniel F., Ingham, Sarah Louise, Doherty, Michael, Zhang, Weiya

Background: 25% of the British population over the age of 50 experience knee pain. It can limit physical ability, cause distress and bears significant socioeconomic costs. Knee pain, not knee osteoarthritis (KOA) is the all to common malady. The obje

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::225af7c42b386e7fdfbcda23f76f27b3
https://eprints.nottingham.ac.uk/41186/8/art%3A10.1186%2Fs13075-017-1272-6.pdf