S
Silvano Ferrari
Researcher at University of Padua
Publications - 31
Citations - 839
Silvano Ferrari is an academic researcher from University of Padua. The author has contributed to research in topics: Low back pain & Oswestry Disability Index. The author has an hindex of 14, co-authored 30 publications receiving 652 citations. Previous affiliations of Silvano Ferrari include University of Bologna.
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Journal ArticleDOI
Is there a relationship between self-efficacy, disability, pain and sociodemographic characteristics in chronic low back pain? A multicenter retrospective analysis.
TL;DR: Female gender and drugs use are significantly related to poor self-efficacy, low educational level negatively influences the amount of perceived pain and disability, and older age and smoking are related to disability and pain intensity, respectively.
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The Relationship Between Clinical Instability and Endurance Tests, Pain, and Disability in Nonspecific Low Back Pain
TL;DR: The results of endurance and instability tests appear to be related to the amount of pain and the disability in nonspecific low back pain, which significantly reduces anterior and posterior core muscle endurance.
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[ General postural rehabilitation in musculoskeletal diseases: scientific evidence and clinical indications].
TL;DR: The RPG method has been shown to be an effective treatment technique for musculoskeletal diseases, in particular for ankylosing spondylitis, acute and chronic low back pain, and lumbar discherniation.
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Clinical presentation and physiotherapy treatment of 4 patients with low back pain and isthmic spondylolisthesis
TL;DR: This report describes varying clinical presentations and treatment of 4 patients with isthmic spondylolisthesis, suggesting that different pain generators could be managed by different conservative approaches.
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Using PubMed search strings for efficient retrieval of manual therapy research literature.
Paolo Pillastrini,Carla Vanti,Stefania Curti,Stefano Mattioli,Silvano Ferrari,Francesco Saverio Violante,Andrew A. Guccione +6 more
TL;DR: The proposed PubMed search strings may help health care professionals locate potentially pertinent articles and review a large number of MT studies efficiently to better implement evidence-based practice.