ArticleBMC medical research methodology2023
Effect of alcohol consumption on breast cancer: probabilistic bias analysis for adjustment of exposure misclassification bias and confounders.
Article in BMC medical research methodology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Critical Appraisal of Causality Observational Studies: A Case-Study of the Effect of Tattoo on Malignant Lymphoma.International journal of preventive medicine · 2026Article
- Interaction between opium use and cigarette smoking on bladder cancer: An inverse probability weighting approach based on a multicenter case-control study in Iran.Global epidemiology · 2025Article
- Characterization of Atherosclerotic Plaque in Coronary CT Angiography and Some Related Factors in Patients with Coronary Artery Disease Referred to Farshchian Heart Hospital in Hamadan in 2023 :.Galen medical journal · 2025Article
- Alcohol Consumption and Breast and Ovarian Cancer Development: Molecular Pathways and Mechanisms.Current issues in molecular biology · 2024Review
- Comparison of outcomes between off-pump and on-pump coronary artery bypass graft surgery using collaborative targeted maximum likelihood estimation.Scientific reports · 2024Article
- Rethinking the pros and cons of randomized controlled trials and observational studies in the era of big data and advanced methods: a panel discussion.BMC proceedings · 2024Article
- A contemporary review of breast cancer risk factors and the role of artificial intelligence.Frontiers in oncology · 2024Review
- The effect of smoking on latent hazard classes of metabolic syndrome using latent class causal analysis method in the Iranian population.BMC public health · 2023Article
- Impact of Alcohol Consumption on Multiple Sclerosis Using Model-based Standardization and Misclassification Adjustment Via Probabilistic Bias Analysis.Archives of Iranian medicine · 2023Article
- Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study was conducted to evaluate the effect of alcohol consumption on breast cancer, adjusting for alcohol consumption misclassification bias and confounders.
methodsThis was a case-control study of 932 women with breast cancer and 1000 healthy control. Using probabilistic bias analysis method, the association between alcohol consumption and breast cancer was adjusted for the misclassification bias of alcohol consumption as well as a minimally sufficient set of adjustment of confounders derived from a causal directed acyclic graph. Population attributable fraction was estimated using the Miettinen's Formula.
resultsBased on the conventional logistic regression model, the odds ratio estimate between alcohol consumption and breast cancer was 1.05 (95% CI: 0.57, 1.91). However, the adjusted estimates of odds ratio based on the probabilistic bias analysis ranged from 1.82 to 2.29 for non-differential and from 1.93 to 5.67 for differential misclassification. Population attributable fraction ranged from 1.51 to 2.57% using non-differential bias analysis and 1.54-3.56% based on differential bias analysis.
conclusionA marked measurement error was in self-reported alcohol consumption so after correcting misclassification bias, no evidence against independence between alcohol consumption and breast cancer changed to a substantial positive association.
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