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Consumption of vegetables and fruits and breast cancer survival: a systematic review and meta-analysis.

ABSTRACT: We aimed to conduct a meta-analysis investigating the association between consumption of vegetables and fruits and breast cancer survival. A comprehensive search of the PubMed and EMBASE was performed from the inception to September 30, 2016. The summary hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using a random effects model. Ten studies, with a total of 31,210 breast cancer cases, were included in the meta-analysis. The summary HRs (95% CIs) of overall survival (highest vs. lowest) were 1.08 (0.88-1.33; I² = 41.1%) for pre-diagnostic intake of vegetables and fruits combined, 0.96 (0.71-1.30; I² = 48.4%) for vegetables alone, and 0.83 (0.67-1.02; I² = 0) for fruit alone. No significant risk associations of overall survival were found for post-diagnostic intake of vegetables and fruits. Line dose-response analyses indicated the likely results for both pre- and post- diagnostic dietary intake. No significant association was found between intake of vegetables and fruits and breast cancer-specific mortality. In addition, intake of cruciferous vegetables was not associated with death from breast cancer. Our findings indicated a borderline inverse association between pre-diagnostic intake of fruit and overall survival of breast cancer, whereas intake of vegetables was not associated with survival.

SUBMITTER: He J

PROVIDER: S-EPMC5428797 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Consumption of vegetables and fruits and breast cancer survival: a systematic review and meta-analysis.

He Juanjuan J Gu Yuanting Y Zhang Shaojin S

Scientific reports 20170404 1

We aimed to conduct a meta-analysis investigating the association between consumption of vegetables and fruits and breast cancer survival. A comprehensive search of the PubMed and EMBASE was performed from the inception to September 30, 2016. The summary hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using a random effects model. Ten studies, with a total of 31,210 breast cancer cases, were included in the meta-analysis. The summary HRs (95% CIs) of overall survival (highe ...[more]

PMID: 28377568

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Project description:Adolescents' consumption of fruits and vegetables is inadequate in most Arab countries, leading to a higher risk of poor health outcomes. This systematic review evaluates fruits and vegetables intake among adolescents in Arab countries, the proportion of adolescents meeting the dietary guidelines in these countries, and the dietary assessment tools used to assess fruits and vegetables intake. Four databases were searched, MEDLINE, PUBMED, EMBASE, and Web of Science. Studies were eligible if they reported fruit or vegetable consumption among adolescents aged 10 to 19 in 22 Arab countries. The risk of bias in the included studies was assessed by two reviewers independently using the risk of bias tool developed by Hoy et al. Data were extracted and synthesized into three categories; frequency of fruits and vegetables consumption, mean fruits and vegetables consumption, and percentage of adolescents meeting fruits and vegetables consumption recommendations. The review included 44 articles utilizing 41 cross-sectional studies. Most studies were school-based, and data was collected from both males and females using self-administered questionnaires. Of those, validated questionnaires were used in 28 studies. According to the World Health Organization recommendation, most studies defined five fruits and vegetables servings as the adequacy cutoff point; other definitions were used in some studies. The reported mean consumption ranged between 6.1 times per week and 4.5 servings of fruits and vegetables per day. The proportion of those who met the recommendations of eating five servings per day ranged between 10 and 29%. Fruits were shown to have a lower daily intake than vegetables (4.2 to 53.7% for fruits and 7.8 to 66.3% for vegetables). This review indicated inadequate fruits and vegetables consumption among adolescents in Arab countries and highlighted an increased risk of non-communicable diseases and malnutrition prevalence. A limitation was the incomparability of available data between countries. Further in-depth research on the core reasons behind adolescents' inadequacy in fruits and vegetables consumption is recommended.

Project description:BackgroundBreast cancer (BC), as a leading cause of cancer mortality in women, demands robust prediction models for early diagnosis and personalized treatment. Artificial Intelligence (AI) and Machine Learning (ML) algorithms offer promising solutions for automated survival prediction, driving this study's systematic review and meta-analysis.MethodsThree online databases (Web of Science, PubMed, and Scopus) were comprehensively searched (January 2016-August 2023) using key terms ("Breast Cancer", "Survival Prediction", and "Machine Learning") and their synonyms. Original articles applying ML algorithms for BC survival prediction using clinical data were included. The quality of studies was assessed via the Qiao Quality Assessment tool.ResultsAmongst 140 identified articles, 32 met the eligibility criteria. Analyzed ML methods achieved a mean validation accuracy of 89.73%. Hybrid models, combining traditional and modern ML techniques, were mostly considered to predict survival rates (40.62%). Supervised learning was the dominant ML paradigm (75%). Common ML methodologies included pre-processing, feature extraction, dimensionality reduction, and classification. Deep Learning (DL), particularly Convolutional Neural Networks (CNNs), emerged as the preferred modern algorithm within these methodologies. Notably, 81.25% of studies relied on internal validation, primarily using K-fold cross-validation and train/test split strategies.ConclusionThe findings underscore the significant potential of AI-based algorithms in enhancing the accuracy of BC survival predictions. However, to ensure the robustness and generalizability of these predictive models, future research should emphasize the importance of rigorous external validation. Such endeavors will not only validate the efficacy of these models across diverse populations but also pave the way for their integration into clinical practice, ultimately contributing to personalized patient care and improved survival outcomes.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD42024513350.

Dataset Information

Consumption of vegetables and fruits and breast cancer survival: a systematic review and meta-analysis.

Publications

Consumption of vegetables and fruits and breast cancer survival: a systematic review and meta-analysis.

Similar Datasets

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