Misun Jeon, Sang Hwa Lee, Ji Yoon Jang, Sanghee Kim
{"title":"我们该如何应对癌症患者术前虚弱及相关因素？范围综述。","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":48570,"journal":{"name":"Nursing Open","volume":null,"pages":null},"PeriodicalIF":2.0000,"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":"{\"title\":\"How can we approach preoperative frailty and related factors in patients with cancer? 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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\":48570,\"journal\":{\"name\":\"Nursing Open\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.0000,\"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\":\"Nursing Open\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/nop2.2216\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nursing Open","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/nop2.2216","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NURSING","Score":null,"Total":0}
How can we approach preoperative frailty and related factors in patients with cancer? A scoping review.
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.
期刊介绍：
Nursing Open is a peer reviewed open access journal that welcomes articles on all aspects of nursing and midwifery practice, research, education and policy. We aim to publish articles that contribute to the art and science of nursing and which have a positive impact on health either locally, nationally, regionally or globally
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