Pain
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Chronic postsurgical pain (CPSP) affects an estimated 10% to 50% of adults depending on the type of surgical procedure. Clinical prediction models can help clinicians target preventive strategies towards patients at high risk for CPSP. Therefore, the objective of this systematic review was to identify and describe existing prediction models for CPSP in adults. ⋯ The most common predictors identified in final prediction models included preoperative pain in the surgical area, preoperative pain in other areas, age, sex or gender, and acute postsurgical pain. Clinical prediction models may support prevention and management of CPSP, but existing models are at high risk of bias that affects their reliability to inform practice and generalizability to wider populations. Adherence to standardized guidelines for clinical prediction model development is necessary to derive a prediction model of value to clinicians.
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In the context of the opioid epidemic and the growing population of older adults living with chronic pain, clinicians are increasingly recommending nonpharmacologic approaches to patients as complements to or substitutes for pharmacologic treatments for pain. Currently, little is known about the factors that influence older adults' use of these approaches. We aimed to characterize the factors that hinder or support the use of nonpharmacologic approaches for pain management among older adults with multiple morbidities. ⋯ We propose and illustrate a conceptual model of barriers and facilitators to guide research and clinical care. This study identifies numerous factors that influence patients' use of nonpharmacologic approaches, some of which are not captured in existing research or routinely addressed in clinical practice. The person-centered model proposed may help to structure and support patient-clinician communication about nonpharmacologic approaches to chronic pain management.
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Spinal cord stimulation (SCS) has been suggested as a treatment option for patients with painful diabetic neuropathy (PDN). We conducted a systematic review and undertook a meta-analysis on individual patient data from randomised controlled trials (RCTs) to assess the effectiveness of SCS for the management of PDN. Electronic databases were searched from inception to May 2020 for RCTs of SCS for PDN. ⋯ Increases were observed for health-related quality of life assessed as EQ-5D utility score (pooled MD 0.16, 95% CI: 0.02-0.30) and visual analogue scale (pooled MD 11.21, 95% CI: 2.26-20.16). Our findings demonstrate that SCS is an effective therapeutic adjunct to best medical therapy in reducing pain intensity and improving health-related quality of life in patients with PDN. Large well-reported RCTs with long-term follow-up are required to confirm these results.