ArticleCancers2022
Dietary Patterns and Prostate Cancer: CAPLIFE Study.
Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Review
- Prostate Cancer: Emerging Modifiable Risk Factors and Therapeutic Strategies in the Management of Advanced Cancer.Life (Basel, Switzerland) · 2024Review
- The association between healthy and unhealthy dietary indices with prostate cancer risk: a case-control study.Journal of health, population, and nutrition · 2024Article
- Dietary Heat-Treatment Contaminants Exposure and Cancer: A Case Study from Turkey.Foods (Basel, Switzerland) · 2023Article
- Mediterranean diet and health in the elderly.AIMS public health · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
The etiology of prostate cancer (PCa) remains uncertain, and the role of diet is unclear. We aimed to evaluate the role of diet, through dietary patterns, on PCa, considering tumor aggressiveness and extension. The CAPLIFE study is a population-based case-control study including a total of 428 incident PCa cases and 393 controls aged 40-80 years. Dietary information was collected through a validated food frequency questionnaire. Three dietary patterns were identified through principal component analysis: "Mediterranean," "Western," and "Unhealthy," which were categorized into tertiles according to the control group cutoff points. Tumor aggressiveness and extension was determined. Logistic regression models were used to assess the association between dietary patterns and PCa. High adherence to an unhealthy dietary pattern was associated with higher odds of PCa, OR
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Registered trials
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