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      Time to evolve: the applicability of pain phenotyping in manual therapy

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          Clinical practice guidelines for the management of non-specific low back pain in primary care: an updated overview

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            What does best practice care for musculoskeletal pain look like? Eleven consistent recommendations from high-quality clinical practice guidelines: systematic review

            To identify common recommendations for high-quality care for the most common musculoskeletal (MSK) pain sites encountered by clinicians in emergency and primary care (spinal (lumbar, thoracic and cervical), hip/knee (including osteoarthritis [OA] and shoulder) from contemporary, high-quality clinical practice guidelines (CPGs). Systematic review, critical appraisal and narrative synthesis of MSK pain CPG recommendations. Included MSK pain CPGs were written in English, rated as high quality, published from 2011, focused on adults and described development processes. Excluded CPGs were for: traumatic MSK pain, single modalities (eg, surgery), traditional healing/medicine, specific disease processes (eg, inflammatory arthropathies) or those that required payment. Four scientific databases (MEDLINE, Embase, CINAHL and Physiotherapy Evidence Database) and four guideline repositories. 6232 records were identified, 44 CPGs were appraised and 11 were rated as high quality (low back pain: 4, OA: 4, neck: 2 and shoulder: 1). We identified 11 recommendations for MSK pain care: ensure care is patient centred, screen for red flag conditions, assess psychosocial factors, use imaging selectively, undertake a physical examination, monitor patient progress, provide education/information, address physical activity/exercise, use manual therapy only as an adjunct to other treatments, offer high-quality non-surgical care prior to surgery and try to keep patients at work. These 11 recommendations guide healthcare consumers, clinicians, researchers and policy makers to manage MSK pain. This should improve the quality of care of MSK pain.
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              The mechanisms of manual therapy in the treatment of musculoskeletal pain: a comprehensive model.

              Prior studies suggest manual therapy (MT) as effective in the treatment of musculoskeletal pain; however, the mechanisms through which MT exerts its effects are not established. In this paper we present a comprehensive model to direct future studies in MT. This model provides visualization of potential individual mechanisms of MT that the current literature suggests as pertinent and provides a framework for the consideration of the potential interaction between these individual mechanisms. Specifically, this model suggests that a mechanical force from MT initiates a cascade of neurophysiological responses from the peripheral and central nervous system which are then responsible for the clinical outcomes. This model provides clear direction so that future studies may provide appropriate methodology to account for multiple potential pertinent mechanisms.
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                Author and article information

                Journal
                Journal of Manual & Manipulative Therapy
                Journal of Manual & Manipulative Therapy
                Informa UK Limited
                1066-9817
                2042-6186
                March 04 2022
                March 28 2022
                March 04 2022
                : 30
                : 2
                : 61-67
                Affiliations
                [1 ]Department of Veterans Affairs Medical Center, Cleveland, Ohio, USA
                [2 ]Department of Graduate Studies in Health and Rehabilitation Sciences, Youngstown State University, Youngstown, Ohio, USA
                [3 ]Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, NC, USA
                [4 ]Department of Population Health Sciences, Duke University, Durham, NC, USA
                [5 ]Duke Clinical Research Institution, Duke University, Durham, NC, USA
                Article
                10.1080/10669817.2022.2052560
                35344468
                3ec1626d-8604-41d8-9f0c-d4e2a8caf414
                © 2022
                History

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