Background: The variation in breast cancer incidence rates across different regions may reflect disparities in breast cancer screening (BCS) practices. Understanding the factors associated with these screening behaviors is crucial for identifying modifiable elements amenable to intervention. This systematic review aims to identify common factors influencing BCS behaviors among women globally. Methods: Relevant papers were sourced from PubMed, Scopus, Embase, and Google Scholar. The included studies were published in English in peer-reviewed journals from January 2000 to March 2023 and investigated factors associated with BCS behaviors. Results: From an initial pool of 625 articles, 34 studies (comprising 29 observational and 5 qualitative studies) with 36,043 participants were included. Factors influencing BCS behaviors were categorized into nine groups: socio-demographic factors, health status history, knowledge, perceptions, cultural factors, cues to action, motivation, self-efficacy, and social support. The quality appraisal scores of the studies ranged from average to high. Conclusions: This systematic review highlights factors pivotal for policy-making at various levels of breast cancer prevention and assists health promotion professionals in designing more effective interventions to enhance BCS practices among women.

Background: This scoping review aimed to identify and present the evidence describing key motivations for breast cancer screening among women aged ≥ 75 years. Few of the internationally available guidelines recommend continued biennial screening for this age group. Some suggest ongoing screening is unnecessary or should be determined on individual health status and life expectancy. Recent research has shown that despite recommendations regarding screening, older women continue to hold positive attitudes to breast screening and participate when the opportunity is available. Methods: All original research articles that address motivation, intention and/or participation in screening for breast cancer among women aged ≥ 75 years were considered for inclusion. These included articles reporting on women who use public and private breast cancer screening services and those who do not use screening services (i.e., non-screeners). The Joanna Briggs Institute (JBI) methodology for scoping reviews was used to guide this review. A comprehensive search strategy was developed with the assistance of a specialist librarian to access selected databases including: the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Medline, Web of Science and PsychInfo. The review was restricted to original research studies published since 2009, available in English and focusing on high-income countries (as defined by the World Bank). Title and abstract screening, followed by an assessment of full-text studies against the inclusion criteria was completed by at least two reviewers. Data relating to key motivations, screening intention and behaviour were extracted, and a thematic analysis of study findings undertaken. Results: A total of fourteen (14) studies were included in the review. Thematic analysis resulted in identification of three themes from included studies highlighting that decisions about screening were influenced by: knowledge of the benefits and harms of screening and their relationship to age; underlying attitudes to the importance of cancer screening in women's lives; and use of decision aids to improve knowledge and guide decision-making. Conclusion: The results of this review provide a comprehensive overview of current knowledge regarding the motivations and screening behaviour of older women about breast cancer screening which may inform policy development.

Purpose: Recurrence of breast cancer leads to a high lifetime risk and a low 5 year survival rate. Researchers have used machine learning to predict the risk of recurrence in patients with breast cancer, but the predictive performance of machine learning remains controversial. Hence, this study aimed to explore the accuracy of machine learning in predicting breast cancer recurrence risk and aggregate predictive variables to provide guidance for the development of subsequent risk scoring systems. Methods: We searched Pubmed, EMBASE, Cochrane, and Web of Science. The risk of bias in the included studies was evaluated using prediction model risk of bias assessment tool (PROBAST). Meta-regression was adopted to explore whether there was a significant difference in the recurrence time by machine learning. Results: Thirty-four studies involving 67,560 subjects were included, among whom 8695 experienced breast cancer recurrence. The c-index of prediction models was 0.814 (95%CI 0.802-0.826) and 0.770 (95%CI 0.737-0.803) in the training and validation sets, respectively; the sensitivity and specificity were 0.69 (95% CI 0.64-0.74), 0.89 (95% CI 0.86-0.92) in the training, and 0.64 (95% CI 0.58-0.70), 0.88 (95% CI 0.82-0.92) in the validation, respectively. Age, histological grading, and lymph node status are the most commonly used variables in model construction. Attention should be paid to unhealthy lifestyles such as drinking, smoking and BMI as modeling variables. Risk prediction models based on machine learning have long-term monitoring value for breast cancer population, and subsequent studies should consider using large-sample and multi-center data to establish risk equations for verification. Conclusion: Machine learning may be used as a predictive tool for breast cancer recurrence. Currently, there is a lack of effective and universally applicable machine learning models in clinical practice. We expect to incorporate multi-center studies in the future and attempt to develop tools for predicting breast cancer recurrence risk, so as to effectively identify populations at high risk of recurrence and develop personalized follow-up strategies and prognostic interventions to reduce the risk of recurrence.

Objectives: To determine the effectiveness of virtual reality (VR)-based intervention on the symptoms and rehabilitation management in patients with breast cancer. Design: Systematic review and meta-analysis. Study selection: We included all eligible randomised controlled trials and quasi-experimental studies (published in English and Chinese). Participants: Patients with breast cancer (≥18 years) undergoing cancer treatment. Interventions: Any intervention administered to improve the symptoms and rehabilitation of patients with breast cancer. The control group was given conventional care. Outcomes: All outcomes were as follows: pain, fatigue, anxiety, depressive symptoms, cognitive function, and range of motion of upper limb in patients with breast cancer. Data sources: We searched PubMed, Embase, CENTRAL and SinoMed, four electronic databases, covering the database establishment period to January 2022. Review methods: Two reviewers independently extracted content and data consistent with the prespecified framework and assessed risk bias. Random-effects meta-analysis was used to pool data across trials. Meta-analysis was performed using Review Manager V.5.4. Results: A total of eight studies met the eligibility criteria and were included in this study. The combined effect size showed that VR was positive for improving patients' anxiety(standard mean differenc (SMD)=-2.07, 95% CI= (-3.81 to -0.34), I2=95%) and abduction of upper limbs (MD=15.54, 95% CI= (12.79 to 18.29), I2=0%), but fatigue (SMD=-0.92, 95% CI= (-4.47 to 2.62), I2=99%) was not. Qualitative analysis showed VR improved patients' depressive symptoms, pain and cognitive function. Conclusions: VR technology has a good effect on symptoms and rehabilitation management of patients with breast cancer, but the quality of evidence is low, and the sample size is small. To date, there are few intervention studies, therefore, giving precise recommendation or conclusion is difficult. We have a favourable view of this, and more clinical studies are needed in the future to improve the credibility of the results.

Purpose: This study aimed to review the association between antidepressive agent (AD) use and the incidence risk of breast cancer. Methods: CBM, WOS, Embase, PubMed and Cochrane Library were systematically searched in July 2019. The methodological quality of the studies was assessed through the Newcastle–Ottawa Scale. Results: We included 19 studies from six countries or regions with relationships between breast cancer and ADs. Subgroup analysis showed no significant association in nested case–control or case–control studies; however, cohort studies revealed a significant association (odds ratio = 1.11; 95% CI: 1.04–1.17). Conclusions: This meta-analysis indicates that breast cancer was not associated with the use of ADs when considering all types of studies, but an association was observed if we considered cohort studies.

The purpose of this review was to identify and evaluate psychoeducational intervention studies addressing the psychological adjustment needs of family members, spouses, and friends (supporters) providing support to women with early-stage breast cancer with the goal of guiding future research and practice. This is an integrative review initiated by a systematic search conducted within the PubMed, CINAHL, and PsycINFO databases among literature published from 2003 to 2014. Articles were retained for evaluation if the sample was from a western culture, and outcomes were reported separately for supporters of women with early-stage breast cancer after receipt of a psychosocial/educational intervention. Studies using qualitative, pilot, and pre-experimental designs were included for review. Six studies meeting the inclusion criteria were identified. Of these, three were randomized controlled trials (one pilot) and three used a pre-experimental, single-group design. All of the interventions demonstrated some efficacy; however, limitations in design, sample, and reporting of outcomes were identified. The pre-experimental and pilot design of the majority of the research identified in this review limits the ability to make firm recommendations for translation to clinical practice although the psychoeducational interventions appear clinically useful. Future research should define samples of supporters consistently across studies, report behavioral and psychological outcomes separately for individuals with differing relationships with the affected woman, increase racial diversity among samples, consider time and cost when designing psychoeducational interventions, and focus interventions on specific characteristics and needs of the diverse groups of individuals who provide support for women with early-stage breast cancer

BACKGROUND: Total fat intake may be associated with increased risk of breast cancer, and fish oil has been suggested as a protection factor to breast cancer. But the effect of vegetable oils is inconclusive. We aimed to investigate the association with high vegetable oils consumption and breast cancer risk, and evaluated their dose-response relationship. DESIGN: We systematically searched the MEDLINE, EMBASE, Cochrane databases, and CNKI updated to December 2014, and identified all observational studies providing quantitative estimates between breast cancer risk and different vegetable oils consumption. Fixed or random effect models were used to estimate summary odds ratios for the highest vs. lowest intake, and dose-response relationship was assessed by restricted cubic spline model and generalized least-squares trend (GLST) model. RESULTS: Five prospective cohort studies and 11 retrospective case-control studies, involving 11,161 breast cancer events from more than 150,000 females, met the inclusion criteria. Compared with the lowest vegetable oils consumption, higher intake didn't increased the risk of breast cancer with pooled OR of 0.88 (95% CIs:0.77-1.01), and the result from dose- response analyses didn't show a significant positive or negative trend on the breast cancer risk for each 10g vegetable oil/day increment (OR=0.98, 95% CIs: 0.95-1.01). In the subgroup analyses, the oils might impact on females with different strata of BMI. Higher olive oil intake showed a protective effect against breast cancer with OR of 0.74 (95% CIs: 0.60-0.92), which was not significant among the three cohort studies. CONCLUSIONS: This meta-analyses suggested that higher intake of vegetable oils is not associated with the higher risk of breast cancer. Olive oil might be a protective factor for the cancer occurrence among case-control studies and from the whole. Recall bias and imbalance in study location and vegetable oils subtypes shouldn't be ignored. More prospective cohort studies are required to confirm the interaction of the impact of vegetable oils on different population and various cancer characteristic, and further investigate the relationship between different subtype oils and breast cancer

Aims: In this systematic review, we explored which factors are associated with breast cancer (BC) worry in further examination (FE) of mammography screening and for how long women experience BC worry associated with FE. Methods: Medline, Cochrane, Cinahl and the International Network of Agencies for Health Technology Assessment databases were used in the search. In addition to this, reference lists of the selected articles were inspected. The subject headings and keywords searched included breast screening, mammography screening, BC worry, distress or anxiety, additional test, further examination and recall. These were used separately and in combination. The databases gave 598 references. From the selected titles, 83 abstracts were read; from these, 23 publications were selected for full-text review. On the basis of full texts, 15 articles were chosen. Findings: There were very few studies about the associations between FE and BC worry. In those found, the amount of measured variables was limited. BC worry in FE of breast screening was associated with several sociodemographic and psychosocial factors of recalled women, as well as those related to the FE process. About half of the recalled women were quite or very anxious in the prediagnostic phase. Conclusions: The review gave implications for interventions in the FE process of mammography screening. These interventions should predominantly be made in the preclinical phase and should differ according to the type of recall visit and characteristics of recalled women. In communicating the diagnosis to the women, the time from the examination process to diagnosis should be as short as possible, and in addition to physicians being present, other health care professionals should also be there to ensure the necessary emotional and practical support a woman needs in such a situation.