Cited by 491Metabolism, Diabetes, and CancerProstate Cancer Treatment and ResearchCancer Risks and Factors

A meta-analysis of diabetes mellitus and the risk of prostate cancer

Open access
Kasper, Jocelyn S., Giovannucci, Edward·2006·Cancer Epidemiology, Biomarkers & Prevention

Abstract

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)

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1158/1055-9965.epi-06-0410

Cites

65 of 65 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 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)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [37]37. Wynder EL, Mabuchi K, Whitmore WF, Jr. Epidemiology of cancer of the prostate. Cancer 1971;28:344 -60.

Cited by

Sorted by citations

Authors
Kasper, J. S., & Giovannucci, E.
Affiliations
  • Harvard University (US)
  • Brigham and Women's Hospital (US)
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
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review