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      Analgesic efficacy and safety of erector spinae plane block in breast cancer surgery: a systematic review and meta-analysis

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          Abstract

          Background

          Surgical resection is considered to be the primary and most effective therapy for breast cancer, postoperative pain is an issue gaining significant attention. In recent years, erector spinae plane block (ESPB) has attracted much attention in postoperative analgesia, but its effectiveness is still controversial. This meta-analysis was implemented to verify the clinical analgesic efficacy and safety of erector spinae plane block in patients undergoing breast cancer surgery.

          Methods

          We searched PubMed, EMBASE, Web of Science, the Cochrane Library and ClinicalTrials.gov for randomized controlled trials (RCTs) comparing ESPB with general anesthesia (GA) in breast cancer surgery that were published before December 25, 2020. The primary outcome was opioid consumption at the first 24 h after surgery, while secondary outcomes included pain scores at 1, 6,12 and 24 h after surgery, opioid consumption at 1, 6 and 12 h after surgery, intraoperative opioid consumption, number of patients who need for rescue analgesia, and the incidence of postoperative nausea and vomiting (PONV).

          Results

          Eleven randomized controlled trials involving 679 patients met the study inclusion criteria and were included in this study. In comparison to GA group, the ESPB group showed a significant reduction in morphine consumption at the first 24 h after surgery by a mean difference (MD) of − 7.67 mg [95% confidence interval (CI) − 10.35 to − 5.00] ( P <  0.01). In addition, the ESPB group showed lower pain scores than the GA group in the four time periods (1, 6, 12 and 24 h after surgery). ESPB group significantly reduce the intraoperative consumption of fentanyl, the need for postoperative rescue analgesia, and the incidence of PONV.

          Conclusions

          Ultrasound-guided ESPB is an effective approach for reducing morphine consumption and pain intensity within the first 24 h after breast cancer surgery, compared with GA alone.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12871-021-01277-x.

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          Most cited references36

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          Global Cancer Statistics 2018: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

          This article provides a status report on the global burden of cancer worldwide using the GLOBOCAN 2018 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer, with a focus on geographic variability across 20 world regions. There will be an estimated 18.1 million new cancer cases (17.0 million excluding nonmelanoma skin cancer) and 9.6 million cancer deaths (9.5 million excluding nonmelanoma skin cancer) in 2018. In both sexes combined, lung cancer is the most commonly diagnosed cancer (11.6% of the total cases) and the leading cause of cancer death (18.4% of the total cancer deaths), closely followed by female breast cancer (11.6%), prostate cancer (7.1%), and colorectal cancer (6.1%) for incidence and colorectal cancer (9.2%), stomach cancer (8.2%), and liver cancer (8.2%) for mortality. Lung cancer is the most frequent cancer and the leading cause of cancer death among males, followed by prostate and colorectal cancer (for incidence) and liver and stomach cancer (for mortality). Among females, breast cancer is the most commonly diagnosed cancer and the leading cause of cancer death, followed by colorectal and lung cancer (for incidence), and vice versa (for mortality); cervical cancer ranks fourth for both incidence and mortality. The most frequently diagnosed cancer and the leading cause of cancer death, however, substantially vary across countries and within each country depending on the degree of economic development and associated social and life style factors. It is noteworthy that high-quality cancer registry data, the basis for planning and implementing evidence-based cancer control programs, are not available in most low- and middle-income countries. The Global Initiative for Cancer Registry Development is an international partnership that supports better estimation, as well as the collection and use of local data, to prioritize and evaluate national cancer control efforts. CA: A Cancer Journal for Clinicians 2018;0:1-31. © 2018 American Cancer Society.
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            RoB 2: a revised tool for assessing risk of bias in randomised trials

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              Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range

              The era of big data is coming, and evidence-based medicine is attracting increasing attention to improve decision making in medical practice via integrating evidence from well designed and conducted clinical research. Meta-analysis is a statistical technique widely used in evidence-based medicine for analytically combining the findings from independent clinical trials to provide an overall estimation of a treatment effectiveness. The sample mean and standard deviation are two commonly used statistics in meta-analysis but some trials use the median, the minimum and maximum values, or sometimes the first and third quartiles to report the results. Thus, to pool results in a consistent format, researchers need to transform those information back to the sample mean and standard deviation. In this article, we investigate the optimal estimation of the sample mean for meta-analysis from both theoretical and empirical perspectives. A major drawback in the literature is that the sample size, needless to say its importance, is either ignored or used in a stepwise but somewhat arbitrary manner, e.g. the famous method proposed by Hozo et al. We solve this issue by incorporating the sample size in a smoothly changing weight in the estimators to reach the optimal estimation. Our proposed estimators not only improve the existing ones significantly but also share the same virtue of the simplicity. The real data application indicates that our proposed estimators are capable to serve as "rules of thumb" and will be widely applied in evidence-based medicine.
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                Author and article information

                Contributors
                chengang120@zju.edu.cn
                Journal
                BMC Anesthesiol
                BMC Anesthesiol
                BMC Anesthesiology
                BioMed Central (London )
                1471-2253
                20 February 2021
                20 February 2021
                2021
                : 21
                : 59
                Affiliations
                GRID grid.13402.34, ISNI 0000 0004 1759 700X, Department of Anesthesiology, Sir Run Run Shaw Hospital, School of Medicine, , Zhejiang University, ; Hangzhou, 310020 China
                Article
                1277
                10.1186/s12871-021-01277-x
                7896394
                33610172
                4c22eeff-24ca-48f1-9412-2b136d2c08ca
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 16 November 2020
                : 8 February 2021
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Anesthesiology & Pain management
                breast surgery,erector spinae plane block (espb),opioid consumption,postoperative analgesia

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