How can we approach preoperative frailty and related factors in patients with cancer? A scoping review.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-06-01 DOI:10.1002/nop2.2216
Misun Jeon, Sang Hwa Lee, Ji Yoon Jang, Sanghee Kim
{"title":"How can we approach preoperative frailty and related factors in patients with cancer? A scoping review.","authors":"Misun Jeon, Sang Hwa Lee, Ji Yoon Jang, Sanghee Kim","doi":"10.1002/nop2.2216","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>To identify factors related to preoperative frailty in patients with cancer and map the tools that measure frailty.</p><p><strong>Design: </strong>A Scoping review.</p><p><strong>Methods: </strong>This scoping review based on Arksey and O'Malley's framework. Articles from CINAHL, PubMed, EMBASE, and PsycINFO databases published between January 2011 and April 2021. The searched keywords were concepts related to 'cancer', 'frailty' and 'measurement'.</p><p><strong>Results: </strong>While 728 records were initially identified, 24 studies were eventually selected. Research on frailty was actively conducted between 2020 and 2021. Factors related to preoperative frailty were age (22.9%), sex (11.4%), body mass index (11.4%) and physical status indicators (54.3%). The most common result of preoperative frailty was postoperative complications (35.0%). 24 instruments were used to measure frailty.</p><p><strong>Implications for patient care: </strong>Selecting an appropriate preoperative frailty screening tool can help improve patient postoperative treatment outcomes.</p><p><strong>Impact: </strong>There are many instruments for assessing preoperative frailty, each evaluating a multi-dimensional feature. We identified the frailty screening tools used today, organized the factors that affect frailty, and explored the impact of frailty. Identifying and organizing frailty measurement tools will enable appropriate evaluation.</p><p><strong>Reporting method: </strong>PRISMA-ScR.</p><p><strong>Patient contribution: </strong>No patient or public contribution.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11187855/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/nop2.2216","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0

Abstract

Aim: To identify factors related to preoperative frailty in patients with cancer and map the tools that measure frailty.

Design: A Scoping review.

Methods: This scoping review based on Arksey and O'Malley's framework. Articles from CINAHL, PubMed, EMBASE, and PsycINFO databases published between January 2011 and April 2021. The searched keywords were concepts related to 'cancer', 'frailty' and 'measurement'.

Results: While 728 records were initially identified, 24 studies were eventually selected. Research on frailty was actively conducted between 2020 and 2021. Factors related to preoperative frailty were age (22.9%), sex (11.4%), body mass index (11.4%) and physical status indicators (54.3%). The most common result of preoperative frailty was postoperative complications (35.0%). 24 instruments were used to measure frailty.

Implications for patient care: Selecting an appropriate preoperative frailty screening tool can help improve patient postoperative treatment outcomes.

Impact: There are many instruments for assessing preoperative frailty, each evaluating a multi-dimensional feature. We identified the frailty screening tools used today, organized the factors that affect frailty, and explored the impact of frailty. Identifying and organizing frailty measurement tools will enable appropriate evaluation.

Reporting method: PRISMA-ScR.

Patient contribution: No patient or public contribution.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
我们该如何应对癌症患者术前虚弱及相关因素?范围综述。
目的:确定与癌症患者术前虚弱有关的因素,并绘制虚弱测量工具图:方法本范围界定综述基于 Arksey 和 O'Malley 的框架。文章来自 CINAHL、PubMed、EMBASE 和 PsycINFO 数据库,发表时间为 2011 年 1 月至 2021 年 4 月。搜索关键词为与 "癌症"、"虚弱 "和 "测量 "相关的概念:结果:虽然最初确定了 728 条记录,但最终选择了 24 项研究。有关虚弱的研究在 2020 年至 2021 年期间积极开展。与术前虚弱相关的因素有年龄(22.9%)、性别(11.4%)、体重指数(11.4%)和身体状况指标(54.3%)。术前虚弱最常见的结果是术后并发症(35.0%)。使用了 24 种工具来测量虚弱程度:对患者护理的意义:选择合适的术前虚弱筛查工具有助于改善患者的术后治疗效果:影响:评估术前虚弱程度的工具有很多,每种工具都评估一个多维度特征。我们确定了目前使用的虚弱筛查工具,整理了影响虚弱的因素,并探讨了虚弱的影响。识别和整理虚弱测量工具将有助于进行适当的评估:PRISMA-ScR.患者贡献:无患者或公众贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
期刊最新文献
A Systematic Review of Sleep Disturbance in Idiopathic Intracranial Hypertension. Advancing Patient Education in Idiopathic Intracranial Hypertension: The Promise of Large Language Models. Anti-Myelin-Associated Glycoprotein Neuropathy: Recent Developments. Approach to Managing the Initial Presentation of Multiple Sclerosis: A Worldwide Practice Survey. Association Between LACE+ Index Risk Category and 90-Day Mortality After Stroke.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1