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

Author:

Jeon Misun1ORCID,Lee Sang Hwa1,Jang Ji Yoon1,Kim Sanghee23ORCID

Affiliation:

1. College of Nursing and Brain Korea 21 FOUR Project Yonsei University Seoul South Korea

2. College of Nursing & Mo‐Im Kim Nursing Research Institute Yonsei University Seoul South Korea

3. Department of Artificial Intelligence, College of Computing Yonsei University Seoul South Korea

Abstract

AbstractAimTo identify factors related to preoperative frailty in patients with cancer and map the tools that measure frailty.DesignA Scoping review.MethodsThis 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’.ResultsWhile 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 CareSelecting an appropriate preoperative frailty screening tool can help improve patient postoperative treatment outcomes.ImpactThere 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 MethodPRISMA‐ScR.Patient ContributionNo patient or public contribution.

Publisher

Wiley

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