scholarly journals A systematic review of non‑pharmacological interventions used for pain relief after orthopedic surgical procedures

2020 ◽  
Vol 20 (5) ◽  
pp. 1-1
Author(s):  
Meifen Fan ◽  
Zheying Chen
2020 ◽  
Author(s):  
Siddhartha Sharma ◽  
Rakesh John ◽  
Deepak Neradi ◽  
Sandeep Patel ◽  
Mandeep Singh Dhillon

Background Orthopedic surgical procedures involve a number of aerosol generating procedures; these include electrocautery, power instruments for bone cutting, burring and drilling, and tools for wound lavage. This assumes a great significance in the context of the current COVD-19 pandemic, as there are chances of aerosol-borne disease transmission in orthopedic surgical procedures. Hence, this systematic review and meta-analysis will be undertaken to assimilate and analyse the available evidence on bioaerosols in orthopedic surgical procedures and their significance with respect to SARS-CoV-2 virus transmission. Objectives To determine the characteristics (amount and/or density, size, infectivity, and spread etc.) of bioaerosols found in orthopaedic operating rooms (ORs) and to determine the characteristics of aerosols generated by different orthopaedic power tools and devices. Methods A systematic review and meta-analysis will be conducted. The PRISMA guidelines will be strictly followed. The primary search will be conducted on the PubMed, EMBASE, Scopus, Cochrane Library, medRxiv, bioRxix and Lancet preprint databases, using a well-defined search strategy. Any original research study (including cohort, case-control, case series, cadaveric studies and studies, animal models, laboratory based experimental studies) looking at aerosol generation in orthopedic surgical procedures, or aerosol generation by orthopaedic power tools and devices will included. Outcome measures will include characteristics (amount and/or density, size, infectivity, and spread etc.) of bioaerosols found in orthopaedic operating rooms (ORs) and those generated by various orthopaedics power tools and devices. Metanalysis using the random-effects model will be conducted to determined pooled estimates of the outcome variables. Heterogeneity will be assessed by the I2 test. Risk of bias will be assessed by the Risk of Bias in Studies estimating Prevalence of Exposure to Occupational risk factors (RoB-SPEO) tool. The overall strength of evidence will be assessed by the GRADE approach.


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