scholarly journals The effectiveness of non‐pharmacological interventions on cancer related fatigue in breast cancer patients: A protocol for systematic review and network meta‐analysis

Nursing Open ◽  
2021 ◽  
Author(s):  
Yu Liu ◽  
Pengzhu Xu ◽  
Chunli Song ◽  
Tongtong Jiang ◽  
Jun‐E Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Cancer Patients ◽  
Meta Analysis ◽  
Breast Cancer Patients ◽  
Pharmacological Interventions ◽  
Cancer Related Fatigue

scholarly journals Comparison of the clinical effectiveness of treatments for aromatase inhibitor-induced arthralgia in breast cancer patients: a protocol for a systematic review and network meta-analysis

BMJ Open ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. e033461
Author(s):  
Kyeore Bae ◽  
Si Yeon Song
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Pain Intensity ◽  
Aromatase Inhibitor ◽  
Cancer Patients ◽  
Meta Analysis ◽  
Indirect Evidence ◽  
Secondary Outcome ◽  
Breast Cancer Patients ◽  
Patient Reported

IntroductionAromatase inhibitor-induced arthralgia (AIA) is a major adverse event of aromatase inhibitors (AIs) and leads to premature discontinuation of AI therapy in breast cancer patients. The objective of this protocol for a systematic review and network meta-analysis (NMA) is to provide the methodology to compare the change in pain intensity between different AIA treatments and demonstrate the rank probabilities for different treatments by combining all available direct and indirect evidence.Methods and analysisPubMed, the Cochrane Controlled Register of Trials (CENTRAL), EMBASE, Web of Science and ClinicalTrials.gov will be searched to identify publications in English from inception to November 2019. We will include randomised controlled trials (RCTs) assessing the effects of different treatments for AIA in postmenopausal women with stage 0–III hormone receptor-positive breast cancer. The primary endpoints will be the change in patient-reported pain intensity from baseline to post-treatment. The number of adverse events will be presented as a secondary outcome.Both pairwise meta-analysis and NMA with the Frequentist approach will be conducted. We will demonstrate summary estimates with forest plots in meta-analysis and direct and mixed evidence with a ranking of the treatments as the P-score in NMA. The revised Cochrane risk-of-bias tool for randomised trials will be used to assess the methodological quality within individual RCTs. The quality of evidence will be assessed.Ethics and disseminationAs this review does not involve individual patients, ethical approval is not required. The results of this systematic review and NMA will be published in a peer-reviewed journal. This review will provide valuable information on AIA therapeutic options for clinicians, health practitioners and breast cancer survivors.PROSPERO registration numberCRD42019136967.

scholarly journals 54P Overweight and prognosis in triple-negative breast cancer patients: A systematic review and meta-analysis

2021 ◽  
Vol 32 ◽  
pp. S43-S44
Author(s):  
K.S. Harborg ◽  
R. Zachariae ◽  
J. Olsen ◽  
M. Johannsen ◽  
D. Cronin-Fenton ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Cancer Patients ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Meta Analysis ◽  
Breast Cancer Patients

scholarly journals Estrogen receptor beta as a prognostic factor in breast cancer patients: A systematic review and meta-analysis

Oncotarget ◽  
2016 ◽  
Vol 7 (9) ◽  
pp. 10373-10385 ◽  
Author(s):  
Weige Tan ◽  
Qian Li ◽  
Kai Chen ◽  
Fengxi Su ◽  
Erwei Song ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Estrogen Receptor ◽  
Prognostic Factor ◽  
Cancer Patients ◽  
Meta Analysis ◽  
Estrogen Receptor Beta ◽  
Breast Cancer Patients ◽  
Receptor Beta

scholarly journals High Moesin Expression Is a Predictor of Poor Prognosis of Breast Cancer: Evidence From a Systematic Review With Meta-Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Xiaoli Hu ◽  
Yang Liu ◽  
Zhitong Bing ◽  
Qian Ye ◽  
Chengcheng Li
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Systematic Review ◽  
Cancer Patients ◽  
Poor Prognosis ◽  
Data Extraction ◽  
Meta Analysis ◽  
Gene Expression Omnibus ◽  
Breast Cancer Patients ◽  
Node Metastases

Owing to metastases and drug resistance, the prognosis of breast cancer is still dismal. Therefore, it is necessary to find new prognostic markers to improve the efficacy of breast cancer treatment. Literature shows a controversy between moesin (MSN) expression and prognosis in breast cancer. Here, we aimed to conduct a systematic review and meta-analysis to evaluate the prognostic relationship between MSN and breast cancer. Literature retrieval was conducted in the following databases: PubMed, Web of Science, Embase, and Cochrane. Two reviewers independently performed the screening of studies and data extraction. The Gene Expression Omnibus (GEO) database including both breast cancer gene expression and follow-up datasets was selected to verify literature results. The R software was employed for the meta-analysis. A total of 9 articles with 3,039 patients and 16 datasets with 2,916 patients were ultimately included. Results indicated that there was a significant relationship between MSN and lymph node metastases (P < 0.05), and high MSN expression was associated with poor outcome of breast cancer patients (HR = 1.99; 95% CI 1.73–2.24). In summary, there is available evidence to support that high MSN expression has valuable importance for the poor prognosis in breast cancer patients.Systematic Review Registrationhttps://inplasy.com/inplasy-2020-8-0039/.

scholarly journals Chinese Herbal Medicine for Reducing Chemotherapy-Associated Side-Effects in Breast Cancer Patients: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 10 ◽  
Author(s):  
Sha Li ◽  
Tsz-him So ◽  
Guoyi Tang ◽  
Hor-Yue Tan ◽  
Ning Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Side Effects ◽  
Herbal Medicine ◽  
Cancer Patients ◽  
Chinese Herbal Medicine ◽  
Meta Analysis ◽  
Chemotherapeutic Agents ◽  
Breast Cancer Patients ◽  
Chinese Herbal

BackgroundChemotherapy usually induces a variety of side-effects in cancer treatment as it cannot tell normal cells apart from cancer cells and kills both. Chinese herbal medicine (CHM) has been regarded as a potential effective intervention for relieving the side-effects of chemotherapy in breast cancer patients.ObjectiveThis study aims to conduct a comprehensive systematic review and meta-analysis to evaluate the efficacy of CHM as adjuvant therapy for reducing the chemotherapy-induced side-effects in the treatment of breast cancer.MethodsMain electronic databases were searched up to May 2020 for Randomized Controlled Trials (RCTs) evaluating the effect of CHM on breast cancer patients with chemotherapy. The PRISMA statement was adopted in this study and meta-analyses were performed.ResultsThe included studies showed unsatisfied quality. Results based on available literature indicated that the adjunctive use of CHM with chemotherapy may reduce the chemotherapeutic agents-associated adverse events, including nausea and vomiting, diarrhea, alopecia, myelosuppression, and impaired immune function.ConclusionA confident conclusion could not be have due to the lack of large scale and high quality trials.

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