Prevalence and Impact of Fatigue on Quality of Life (QOL) of Cancer Patients Undergoing Chemotherapy: A Systematic Review and Meta-Analysis

Muthanna, Fares Mohammed Saeed; Hassan, Bassam Abdul Rasool; Karuppannan, Mahmathi; Ibrahim, Hamza Khalifa; Mohammed, Ali Haider; Abdulrahman, Egbal

doi:10.31557/apjcp.2023.24.3.769

Cited by 9 publications

(2 citation statements)

References 51 publications

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“…It has even been found that patients infected with the novel coronavirus have subsequent complications of cognitive impairment(21)(22) (23). It is thought that hypoxemia causes structural changes in the brain, or that in ammatory factors or cellular damage may play a role(24) (25). However, it may be di cult to study the mechanisms involved in breast cancer.…”

Section: Discussionmentioning

confidence: 99%

Network analysis of quality of life in older breast cancer patients: A cross-sectional research from China

Xiao

Qian

Chen

et al. 2023

Preprint

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Objective The balance between treatment effectiveness and quality of life in elderly breast cancer patients is an important issue for clinicians to consider. The purpose of this study was to investigate the quality of life of elderly breast cancer patients and to explore the most critical factors affecting the quality of life. Methods This prospective cross-sectional study was conducted in the Cancer Hospital of the Chinese Academy of Medical Sciences from June 2022 to November 2022. Frailty Screening Scale and the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 were assessed among breast cancer patients aged ≥65 years. Network analysis was used to identify the core symptoms in the network. Results 481 patients who met inclusion criteria were included in the final analysis. Patients were divided into early (stage I-III) and advanced (stage IV) stage groups based on AJCC Version 8. Patients with advanced disease had a higher incidence of frailty than those with early disease (29.5% vs 11.4%, P<0.001). The quality of life of the former was generally lower than the latter group (P < 0.05 for all three functional areas, seven single symptoms, and economic aspects). Network analysis showed that in both early and advanced stage patients, "fatigue" was the most important symptom in the network and was closely related to patients' social function, role function and physical function. It is also most directly related to global health/quality of life (gQoL). Conclusion There is a general decline in quality of life in older women with advanced breast cancer. Fatigue is the most prominent problem that affects the quality of life. Related interventions need to be considered when developing clinical care plans for these patients.

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Section: Discussionmentioning

confidence: 99%

Network analysis of quality of life in older breast cancer patients: A cross-sectional research from China

Xiao

Qian

Chen

et al. 2023

Preprint

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“…Although various studies presented the results of LE and WW in treating patients with locally advanced rectal cancer, reliable data comparing the outcomes of these two approaches are still lacking [ 29 ]. In part, the reason WW and LE are difficult to compare is the need to consider different outcomes, including survival, relapses, and QoL variables [ 30 , 31 ]. In this framework, the win statistics could easily consider both classical efficacy and QoL outcomes, providing a comprehensive evaluation of treatment benefits and drawbacks.…”

Section: Methodsmentioning

confidence: 99%

Win Statistics in Observational Cancer Research: Integrating Clinical and Quality-of-Life Outcomes

Chiaruttini,

Lorenzoni,

Spolverato

et al. 2024

JCM

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Background: Quality-of-life metrics are increasingly important for oncological patients alongside traditional endpoints like mortality and disease progression. Statistical tools such as Win Ratio, Win Odds, and Net Benefit prioritize clinically significant outcomes using composite endpoints. In randomized trials, Win Statistics provide fair comparisons between treatment and control groups. However, their use in observational studies is complicated by confounding variables. Propensity score (PS) matching mitigates confounding variables but may reduce the sample size, affecting the power of win statistics analyses. Alternatively, PS matching can stratify samples, preserving the sample size. This study aims to assess the long-term impact of these methods on decision making, particularly in colorectal cancer patients. Methods: A motivating example involves a cohort of patients from the ReSARCh observational study (2016–2021) with locally advanced adenocarcinoma of the rectum, situated up to 12 cm from the anal verge. These patients underwent either a watch-and-wait approach (WW) or trans-anal local excision (LE). Win statistics compared the effects of WW and LE on a composite outcome (overall survival, recurrence, presence of ostomy, and rectum excision). For matched win statistics, we used robust inference techniques proposed by Matsouaka et al. (2022), and for stratified win statistics, we applied the method proposed by Dong et al. (2018). A simulation study assessed the coverage probability of matched and stratified win statistics in balanced and unbalanced groups, calculating how often the confidence intervals included the true values of WR, NB, and WO across 1000 simulations. Results: The results suggest a better efficacy of the LE approach when considering efficacy outcomes alone (WR: 0.47 (0.01 to 1.14); NB: −0.16 (−0.34 to 0.02); and WO: 0.73 (0.5 to 1.05)). However, when QoL outcomes are included in the analyses, the estimates are closer to 1 (WR: 0.87 (0.06 to 2.06); WO: 0.93 (0.61 to 1.4)) and to 0 (NB: −0.04 (−0.25 to 0.17)), indicating a negative impact of the treatment effect of LE regarding the presence of ostomy and the excision of the rectum. Moreover, based on the simulation study, our findings underscore the superior performance of matched compared to stratified win statistics in terms of coverage probability (matched WR: 97% vs. stratified WR: 33.3% in a high-imbalance setting; matched WR: 98% vs. stratified WR: 34.4% in a medium-imbalance setting; and matched WR: 99.2% vs. stratified WR: 37.4% in a low-imbalance setting). Conclusions: In conclusion, our study sheds light on the interpretation of the results of win statistics in terms of statistical significance, providing insights into the application of pairwise comparison in observational settings, promoting its use to improve outcomes for cancer patients.

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Symptom clusters and impact on quality of life in lung cancer patients undergoing chemotherapy

Luo,

Zhang,

Mao

et al. 2024

Qual Life Res

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Purpose To identify symptom clusters (SCs) in lung cancer patients undergoing chemotherapy and explore their impact on health-related quality of life (HRQoL). Methods Patients were invited to complete the Chinese version of the M.D. Anderson Symptom Inventory with the Lung Cancer Module and the Quality of Life Questionnaire-core 30. Network analysis was employed to identify SCs. The associations between SCs and each function of HRQoL were examined using the Pearson correlation matrix. Multiple linear regression was applied to analyze the influencing factors of each function of HRQoL. Results A total of 623 lung cancer patients who were receiving chemotherapy were recruited. The global health status of lung cancer patients was 59.71 ± 21.09, and 89.73% of patients developed symptoms. Three SCs (Somato-psychological SC, Respiratory SC, and Gastrointestinal SC) were identified, and Somato-psychological SC and Gastrointestinal SC were identified as influencing factors for HRQoL in lung cancer patients. Conclusion Most lung cancer patients who undergo chemotherapy experience a range of symptoms, which can be categorized into three SCs. The Somato-psychological SC and Gastrointestinal SC negatively impacted patients' HRQoL. Health care providers should prioritize monitoring these SCs to identify high-risk patients early and implement targeted preventive and intervention measures for each SC, aiming to alleviate symptom burden and enhance HRQoL. Supplementary Information The online version contains supplementary material available at 10.1007/s11136-024-03778-x.

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Prevalence and Impact of Fatigue on Quality of Life (QOL) of Cancer Patients Undergoing Chemotherapy: A Systematic Review and Meta-Analysis

Cited by 9 publications

References 51 publications

Network analysis of quality of life in older breast cancer patients: A cross-sectional research from China

Network analysis of quality of life in older breast cancer patients: A cross-sectional research from China

Win Statistics in Observational Cancer Research: Integrating Clinical and Quality-of-Life Outcomes

Symptom clusters and impact on quality of life in lung cancer patients undergoing chemotherapy

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