A meta-analysis of diabetes mellitus and the risk of prostate cancer
Open accessAbstract
Background: Studies investigating the association between diabetes mellitus and prostate cancer have reported inconsistent findings. We examined this association by conducting a detailed meta-analysis of the studies published on the subject. Methods: MEDLINE and EMBASE databases and bibliographies of retrieved articles were searched. Studies investigating the relationship between diabetes mellitus and prostate cancer were included in the meta-analysis. Potential sources of heterogeneity between studies were explored and publication bias was evaluated. Pooled relative risk (RR) was calculated using the random-effects model. Numerous relevant subgroup analyses were also done. Results: We included 19 studies, published between 1971 and 2005, in the meta-analysis and found an inverse association between diabetes mellitus and prostate cancer [RR, 0.84, 95% confidence interval (CI), 0.76-0.93, P for heterogeneity ≤ 0.01]. For cohort studies alone, the RR was 0.81 (95% CI, 0.71-0.92, P for heterogeneity ≤ 0.01) and for case-control studies alone, the RR was 0.89 (95% CI, 0.72-1.11, P for heterogeneity = 0.02). The significant heterogeneity was mitigated in some of the subgroup analyses. For studies conducted before prostate-specific antigen screening was introduced as a common procedure, the RR was 0.94 (95% CI, 0.85-1.03, P for heterogeneity = 0.15), and for studies conducted after this time, the RR was 0.73 (95% CI, 0.64-0.83, P for heterogeneity = 0.10). For studies that adjusted for three or more potential confounders, the RR was 0.74 (95% CI, 0.65-0.85, P for heterogeneity = 0.06) and for studies that adjusted for less than three potential confounders, the RR was 0.93 (95% CI, 0.86-1.02, P for heterogeneity = 0.18). Conclusion: This study suggests an inverse relationship between diabetes and prostate cancer. Potential biological mechanisms underlying this association, as well as possible biases, are discussed. (Cancer Epidemiol Biomarkers Prev 2006;15(11):2056–62)
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An inverse relationship between BMI and prostate cancer has been reported.
“An inverse relationship between BMI and prostate cancer has been reported,1757”
From American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. (2022) · cites this paper as [1757]
The Discussion (page unavailable) reports that preadult obesity may protect against advanced or metastatic prostate cancer, which supports a narrower inverse association. It also says adult adiposity does not correlate with prostate cancer risk, so it does not support a general inverse relationship between BMI and prostate cancer. (LLM, conf=0.84)
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- Authors
- Kasper, J. S., & Giovannucci, E.
- Affiliations
- Harvard University (US)
- Brigham and Women's Hospital (US)
- ORCID
- Giovannucci, Edward
- Venue
- Cancer Epidemiology, Biomarkers & Prevention
- Published
- 2006-11-01
- Volume
- 15
- Issue
- 11
- Pages
- 2056-2062
- ISSN
- 1055-9965 (ISSN-L)
- 1538-7755
- OpenAlex
- W2124673576
- Cited by
- 491
- References
- 65
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 16 · 2023: 8 · 2022: 9 · 2021: 14 · 2020: 23 · 2019: 20 · 2018: 28 · 2017: 24 · 2016: 19 · 2015: 27 · 2014: 45 · 2013: 48 · 2012: 49
- FWCI
- 1.48
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cancer Epidemiology Biomarkers & Prevention (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (CA009001)
- National Cancer Institute (CA009001)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Prostate Cancer Treatment and Research
- Health Sciences › Medicine › Oncology › Cancer Risks and Factors
- Keywords
- diabetes mellitus, prostate cancer, cancer risk, PSA screening, confounding, publication bias, heterogeneity
- MeSH terms
- Diabetes Mellitus, Humans, Male, Prostatic Neoplasms, Research Design, Risk, Models, Statistical, Cohort Studies, Diabetes Complications
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