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Regional anaesthesia to prevent chronic pain after surgery: a Cochrane systematic review and meta-analysis

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TLDR
Epidural anaesthesia and paravertebral block, respectively, may prevent PPP after thoracotomy and breast cancer surgery in about one out of every four to five patients treated.
Abstract
Background Regional anaesthesia may reduce the risk of persistent (chronic) pain after surgery, a frequent and debilitating condition. We compared regional anaesthesia vs conventional analgesia for the prevention of persistent postoperative pain (PPP). Methods We searched the Cochrane Central Register of Controlled Trials, PubMed, EMBASE, and CINAHL from their inception to May 2012, limiting the results to randomized, controlled, clinical trials (RCTs), supplemented by a hand search in conference proceedings. We included RCTs comparing regional vs conventional analgesia with a pain outcome at 6 or 12 months. The two authors independently assessed methodological quality and extracted data. We report odds ratios (ORs) with 95% confidence intervals (CIs) as our summary statistic based on random-effects models. We grouped studies according to surgical interventions. Results We identified 23 RCTs. We pooled data from 250 participants in three trials after thoracotomy with outcomes at 6 months. Data favoured epidural anaesthesia for the prevention of PPP with an OR of 0.33 (95% CI 0.20–0.56). We pooled two studies investigating paravertebral block for breast cancer surgery; pooled data of 89 participants with outcomes ∼6 months favoured paravertebral block with an OR of 0.37 (95% CI 0.14–0.94). Adverse effects were reported sparsely. Conclusions Epidural anaesthesia and paravertebral block, respectively, may prevent PPP after thoracotomy and breast cancer surgery in about one out of every four to five patients treated. Small numbers, performance bias, attrition, and incomplete outcome data especially at 12 months weaken our conclusions.

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Chronic Opioid Use After Surgery: Implications for Perioperative Management in the Face of the Opioid Epidemic.

TL;DR: An analysis of the extent to which opioid-sparing perioperative interventions have been shown to reduce the risk of chronic opioid use after surgery and a discussion of future research directions are presented.
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Persistent Postsurgical Pain: Pathophysiology and Preventative Pharmacologic Considerations.

TL;DR: Clinical investigations evaluating different preventative pharmacologic strategies that are routinely used by anesthesiologists in their daily clinical practices for preventing persistent postoperative pain are described.
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The Transition of Acute Postoperative Pain to Chronic Pain: An Integrative Overview of Research on Mechanisms

TL;DR: A need for a concerted, strategic effort toward integrating clinical epidemiology, basic science research, and current theory about pain mechanisms to hasten progress toward understanding, managing, and preventing persistent postsurgical pain is revealed.
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Postoperative pain-from mechanisms to treatment.

TL;DR: Understanding basic mechanisms of postoperative pain to identify effective treatment strategies may improve patients' outcome after surgery and point towards useful elements of multimodal analgesia able to reduce opioid consumption, improve pain management, and enhance recovery.
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Predictors of persistent pain after breast cancer surgery: a systematic review and meta-analysis of observational studies

TL;DR: Development of persistent pain after breast cancer surgery was associated with younger age, radiotherapy, axillary lymph node dissection, greater acute postoperative pain and preoperative pain.
References
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Journal ArticleDOI

Bias in meta-analysis detected by a simple, graphical test

TL;DR: Funnel plots, plots of the trials' effect estimates against sample size, are skewed and asymmetrical in the presence of publication bias and other biases Funnel plot asymmetry, measured by regression analysis, predicts discordance of results when meta-analyses are compared with single large trials.
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TL;DR: This paper examines eight published reviews each reporting results from several related trials in order to evaluate the efficacy of a certain treatment for a specified medical condition and suggests a simple noniterative procedure for characterizing the distribution of treatment effects in a series of studies.
Journal ArticleDOI

Quantifying heterogeneity in a meta‐analysis

TL;DR: It is concluded that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity, and one or both should be presented in publishedMeta-an analyses in preference to the test for heterogeneity.
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