Environmental sustainability in robotic and laparoscopic surgery: systematic review

碳足迹 温室气体 医学 持续性 生态足迹 二氧化碳当量 环境影响评价 心理干预 环境科学 废物管理 运营管理 工程类 生态学 精神科 生物
作者
Ariadni Papadopoulou,Niraj S Kumar,Anne Vanhoestenberghe,Nader K. Francis
出处
期刊:British Journal of Surgery [Oxford University Press]
被引量:11
标识
DOI:10.1093/bjs/znac191
摘要

Abstract Background Minimally invasive surgical (MIS) techniques are considered the gold standard of surgical interventions, but they have a high environmental cost. With global temperatures rising and unmet surgical needs persisting, this review investigates the carbon and material footprint of MIS and summarizes strategies to make MIS greener. Methods The MEDLINE, Embase, and Web of Science databases were interrogated between 1974 and July 2021. The search strategy encompassed surgical setting, waste, carbon footprint, environmental sustainability, and MIS. Two investigators independently performed abstract/full-text reviews. An analysis of disability-adjusted life years (DALYs) averted per ton of carbon dioxide equivalents (CO2e) or waste produced was generated. Results From the 2456 abstracts identified, 16 studies were selected reporting on 5203 MIS procedures. Greenhouse gas (GHG) emissions ranged from 6 kg to 814 kg CO2e per case. Carbon footprint hotspots included production of disposables and anaesthetics. The material footprint of MIS ranged from 0.25 kg to 14.3 kg per case. Waste-reduction strategies included repackaging disposables, limiting open and unused instruments, and educational interventions. Robotic procedures result in 43.5 per cent higher GHG emissions, 24 per cent higher waste production, fewer DALYs averted per ton of CO2, and less waste than laparoscopic alternatives. Conclusion The increased environmental impact of robotic surgery may not sufficiently offset the clinical benefit. Utilizing alternative surgical approaches, reusable equipment, repackaging, surgeon preference cards, and increasing staff awareness on open and unused equipment and desflurane avoidance can reduce GHG emissions and waste.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科目三应助科研通管家采纳,获得10
1秒前
Mic应助科研通管家采纳,获得10
1秒前
打打应助科研通管家采纳,获得10
1秒前
orixero应助科研通管家采纳,获得10
1秒前
1秒前
Mic应助科研通管家采纳,获得10
1秒前
搜集达人应助科研通管家采纳,获得10
1秒前
Mic应助科研通管家采纳,获得10
1秒前
1秒前
Lucas应助科研通管家采纳,获得10
1秒前
1秒前
anna1992完成签到 ,获得积分10
1秒前
无花果应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
CodeCraft应助科研通管家采纳,获得10
2秒前
2秒前
Zenobia发布了新的文献求助10
2秒前
2秒前
2秒前
2秒前
2秒前
Lucas应助科研通管家采纳,获得10
2秒前
2秒前
领导范儿应助科研通管家采纳,获得10
2秒前
2秒前
Ava应助科研通管家采纳,获得10
2秒前
2秒前
传奇3应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
青竹妈妈完成签到,获得积分10
2秒前
2秒前
Ava应助科研通管家采纳,获得10
3秒前
3秒前
aaron_hill完成签到,获得积分10
3秒前
CNY完成签到 ,获得积分10
3秒前
Sicily完成签到,获得积分10
4秒前
Owen应助121采纳,获得10
5秒前
5秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Social Cognition: Understanding People and Events 800
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6025877
求助须知:如何正确求助?哪些是违规求助? 7665444
关于积分的说明 16180370
捐赠科研通 5173774
什么是DOI,文献DOI怎么找? 2768435
邀请新用户注册赠送积分活动 1751777
关于科研通互助平台的介绍 1637819