The effectiveness of vitamin B6 in reducing mastalgia: a systematic review and meta-analysis
Abstract
Background: Mastalgia represents the most frequent complaint among women at some point during their lives that can have a profound impact on both the physical and mental well-being of individuals affected by this condition. This study aims to systematically evaluate the effect of vitamin B6 on the severity of mastalgia.
Design: This study is a meta-analysis of interventional studies that compare the effects of vitamin B6 to a placebo in healthy women with Mastalgia. The literature search encompassed studies published from inception until November 2024 and was conducted across various electronic databases, including Web of Science, Embase, Cochrane Library, Scopus, PubMed, and Google Scholar, in both English and Persian languages. The severity of breast pain was considered as the outcome measure. Breast pain linked to the menstrual cycle is called cyclic breast pain or cyclic mastalgia. The data were analyzed using Stata software version 17 and a random effects model. The quality of the selected articles was assessed utilizing the Cochrane Risk of Bias assessment checklist.
Results: A total of 301 studies with N = 951 participants (intervention:536, control: 415) were reviewed, with three studies ultimately included in the meta-analysis. The combined analysis of these three studies indicated that there were no differences between the two groups of vitamins B6 and placebo in a reduction of pain intensity (SMD = -3.57, 95% CI: -9.15 to 2.01; very low certainty of evidence),…
How strong is the evidence?
Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 951 participants or records.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.