Metformin Use and Prostate Cancer Risk

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  • Platinum Priority Prostate CancerEditorial by David Margel on pp. 10211022 of this issue

    Metformin Use and Prostate Cancer Risk

    Mark A. Preston a,*, Anders H. Riis b, Vera Ehrenstein b, Rodney H. Breau c, Julie L. Batista d,e,Aria F. Olumi a, Lorelei A. Mucci d,e, Hans-Olov Adami d,f, Henrik T. Srensen b

    aDepartment of Urology, Massachusetts General Hospital, Boston, MA, USA; bDepartment of Clinical Epidemiology, Aarhus University, Aarhus, Denmark;c The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada; dDepartment of Epidemiology, Harvard School of Public Health,

    Boston, MA, USA; eChanning Division of Network Medicine, Department of Medicine, Brigham and Womens Hospital and Harvard Medical School, Boston,

    MA, USA; fDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden

    E U RO P E AN URO LOG Y 6 6 ( 2 0 1 4 ) 1 0 1 2 1 0 2 0

    avai lable at www.sciencedirect .com

    Article info

    Article history:

    Accepted April 29, 2014

    Keywords:

    Chemoprevention

    Danish registry

    Epidemiology

    Incidence

    Metformin

    Prostate cancer

    The EU-ACME credits will

    Abstract

    Background: Metformin may decrease prostate cancer (PCa) risk by reducinghyperinsulinemia-associated carcinogenesis or through direct effects on cancer cells.Objective: To evaluate the association between metformin use and PCa diagnosis.Design, setting, and participants: We used the Danish Cancer Registry and the AarhusUniversity Prescription Database to conduct a nested casecontrol study among menresiding in northern Denmark from 1989 to 2011. We identied 12 226 cases of PCa andused risk-set sampling to select 10 population controls per case (n = 122 260) fromamongmen alive on the index date and born in the same year. A sensitivity analysis wasconducted using subjects who had prostate-specic antigen (PSA) testing prior to 1 yrbefore the index date.Intervention: Metformin exposure was assessed using prescriptions redeemed beforethe index date.Outcome measurements and statistical analysis: Odds ratios (ORs) and 95% condence

    0.510.86). Diabetics on nomedication (aOR: 1.03; 95% CI, 0.861.24), diabetics on other# 2014 European Asthen be attributed

    automatically.

    oral hypoglycemics (aOR: 0.92; 95% CI, 0.701.20), and insulin users (aOR: 0.83; 95% CI,0.561.24) did not have a statistically signicant reduced risk of cancer.Conclusions: Metformin use was associated with decreased risk of PCa diagnosis,whereas diabetics using other oral hypoglycemics had no decreased risk.Patient summary: We studied the relationship between metformin (a diabetic medica-tion) and prostate cancer in Denmark. We found that metformin reduced the risk ofprostate cancer diagnosis, whereas other oral antidiabetic medications did not.

    sociation of Urology. Published by Elsevier B.V. All rights reserved.Please visit

    www.eu-acme.org/

    europeanurology to read and

    answer questions on-line.

    intervals (CIs) were calculated using logistic regression. The association betweenmetfor-min use and PCa diagnosis was determined, controlling for diabetes severity and otherpotential confounders.Results and limitations: Metformin users were at decreased risk of PCa diagnosiscompared with never-users (adjusted OR [aOR]: 0.84; 95% CI, 0.740.96). Diabeticson no medication (aOR: 0.98; 95% CI, 0.891.09) or on other oral hypoglycemics (aOR:0.98; 95% CI, 0.861.10) did not have a reduced risk of PCa, while users of insulin didhave a reduced risk (aOR: 0.77; 95% CI, 0.640.93). In the PSA-tested group, metforminuse was associatedwith decreased risk of PCa comparedwith nonuse (aOR: 0.66; 95% CI,journal homepage: www.europeanurology.com* Corresponding author. Department of Urology, Massachusetts General Hospital, 55 Fruit Street,Boston, MA 02114, USA. Tel. +1 617 726 3012; Fax: +1 617 726 6131.E-mail address: [email protected] (M.A. Preston).

    http://dx.doi.org/10.1016/j.eururo.2014.04.0270302-2838/# 2014 European Association of Urology. Published by Elsevier B.V. All rights reserved.

  • E U RO P E AN URO L OG Y 6 6 ( 2 0 1 4 ) 1 0 1 2 1 0 2 0 10131. Introduction

    Prostate cancer (PCa) is the second leading cause of cancer

    mortality in men and the most commonly diagnosed

    noncutaneous malignancy [1,2]. Because of the high inci-

    dence, substantial personal distress [35], and societal costs

    [6] associated with the diagnosis and treatment of PCa,

    prevention would have a powerful impact.

    Hyperinsulinemia, associated with type 2 diabetes, may

    play a role in carcinogenesis and be negatively associated

    with cancer prognosis [7,8]. Increased levels of insulin in

    obese men may lead to worse PCa prognosis [7,9,10]. This

    theory is supported by laboratory evidence showing that

    hyperinsulinemia upregulates insulin receptors in PCa cells

    and increases tumor growth [11]. However, diabetes has

    also been associated with decreased diagnosis of PCa,

    potentially mediated by lower levels of testosterone in

    these patients [12,13].

    Metformin, a biguanide, is the most widely prescribed

    antidiabetic drug in the world because of its clinical effec-

    tiveness and tolerability [14]. Its primary mechanism is to

    activate 50 AMP-activated protein kinase in the liver, inhibitgluconeogenesis, and reduce circulating insulin levels [15].

    Metforminmayreduce insulin-stimulatedcancergrowth [16]

    through this mechanism, in addition to possessing other

    antineoplastic properties such as reduction of the c-Myc

    oncogene [17]. However, no randomized trial has evaluated

    the effect of metformin on PCa risk, while observational

    studies have yielded conflicting results [1824].

    We performed a large population-based study of metfor-

    minuseandPCa.Wehypothesized thatmetforminusewould

    be associated with decreased risk of PCa diagnosis.

    2. Material and methods

    2.1. Source population and study design

    We conducted a nested casecontrol study within a well-dened cohort

    of Danish males identied between January 1989 and December 2011.

    Individuals eligible for case and control sampling resided in the

    former counties of North Jutland (19892011), Aarhus (19962011),

    Ringkoebing (19982011), and Viborg (19982011). In 2007, the Danish

    regions replaced counties as the main administrative units. Because the

    four counties started contributing data to the Arhus University

    Prescription Database (AUPD) at different times, they differ with respect

    to the earliest availability of prescription data (the earliest being 1989)

    [25]. The Central andNorth Denmark Regions encompass the four former

    counties, and the periods of required residence correspond to the period

    of availability of data on prescription medication use. Together, the two

    regions represent approximately one-third of the Danish population

    (approximately 1.8 million inhabitants). Health-related services are

    recorded using the unique civil personal registration (CPR) number

    assigned to all Danish citizens since 1968 by the Danish Civil Registration

    System (CRS). The CPR number encodes gender and date of birth [26] and

    permits accurate individual-level linkage among all Danish registries.

    The Danish National Health Service provides tax-supported universal

    health care to all residents of the country and refunds part of patients

    expenditures formostphysician-prescribeddrugs, includingdrugsused to

    treatdiabetes [25]. TheDanish regions are servedbypharmacies equipped

    with computerized accounting systems, through which data on prescrip-tions for refundabledrugs are sent to theAUPD [25]. Thedatabase includesinformation on each patients CPR number, the type of drug prescribed

    (coded according to the Anatomical Therapeutic Chemical classication

    system), the amount of drug dispensed, and the date of sale [25,27].

    2.2. Cases

    Cases weremenwith an incident diagnosis of PCa and no previous cancer

    diagnosis (except nonmelanoma skin cancer) who were identied using

    theDanishCancerRegistry (seeAppendixA for International Classication

    of Diseases codes), which has recorded all incident cancers diagnosed in

    Denmark through December 31, 2011 [28]. To be included in the study,

    menhad tobe residents of the Central orNorthDanishRegions,with2 yrof prescription history before their index date (date of PCa diagnosis).

    2.3. Population controls

    Controls were identied using the CRS [26,29]. For each man in the case

    series, 10 controlswere randomly selected from amongmale residents of

    the two regionswho had the same birth year, were alive, andwere free of

    PCa diagnosis on the index date. Men who resided in the study area for

  • same birth year and with similar duration of diabetes. Under the risk-set

    sampling of controls used in this study, the ORs are unbiased estimates of

    the underlying incidence rate ratios [32]. Unconditional logistic regression

    was used with multivariable adjustment, including age for the PSA and

    HbA1c subanalyses.We used SAS 9.2 (SAS Institute Inc., Cary, NC, USA) for

    the analyses. The Danish Data Protection Agency approved the study

    (2004414693).

    3. Results

    We identified 12 226 cases of PCa and 122 660 individually

    matched controls. The median age was 71.7 yr (range:

    3599) for cases and controls (range 34100). The preva-

    lence of diabetes, comorbidities, marital status, statin use,

    PPI use, 5-ARI use, and diabetic complications was similar

    for cases and controls (Table 1).

    3.1. Metformin use

    A total of 264 cases (2.2%) and 3111 controls (2.5%) used

    metformin for 1 yr before the index date (Table 1). Themedian duration of metformin use was 3.2 yr (interquartile

    range [IQR]: 1.55.7). An additional 90 cases used insulin in

    addition to metformin, for a total of 354 cases (2.9%) with

    any use of metformin during the study period. Metformin

    use was associated with a decreased risk of PCa compared

    Table 1 Characteristics of case and control subjects (n = 134 486)

    Characteristic Prostatecancer cases,n = 12 226

    Controls,n = 122 260

    EU RO P E AN URO LOG Y 6 6 ( 2 0 1 4 ) 1 0 1 2 1 0 2 01014Age, yr, median (range) 71.7 (34.999.2) 71.7 (34.299.9)

    Diabetes, no. (%) 1213 (10) 13 516 (11)

    Metformin use only 264 (2) 3111 (2)

    Metformin and insulin use 90 (0.7) 1254 (1)

    Any metformin use 354 (3) 4365 (4)

    Insulin use 118 (1) 1564 (1)

    Other antidiabetic

    medication use

    294 (2) 3048 (2)

    No antidiabetic

    medication use

    447 (4) 4539 (4)

    Stage, no. (%)

    Localized 5202 (43)

    Regional 498 (4)

    Metastatic 2199 (18)

    Unknown 4327 (35)

    Prostate biopsy >1 yr prior to index date, no. (%)

    No 11 882 (97) 12 0101 (98)

    Yes 344 (3) 2159 (2)

    Charlson Comorbidity Index score, no. (%)

    0 8547 (70) 81 653 (66.8)

    12 3257 (27) 35 087 (28.7)

    3 422 (3) 5520 (4)Diabetic complications,

    no. (%)

    1275 (10) 14 987 (12)

    Marital status, no. (%)

    Married 8879 (73) 85 057 (70)

    Never married 733 (6) 9602 (8)

    Divorced or widowed 2614 (21) 27 601 (23)

    Statin ever used, no. (%) 2276 (19) 22 952 (19)

    PPI ever used, no. (%) 2472 (20) 23 407 (19)

    5-ARI ever used, no. (%) 562 (5) 4733 (4)5-ARI = 5a-reductase inhibitor; PPI = proton pump inhibitor.with never-use in crude analysis (odds ratio [OR]: 0.84; 95%

    CI, 0.740.95), with little change after adjustment for

    potential confounders (adjusted OR [aOR]: 0.84; 95% CI,

    0.740.96). A reduced risk of PCa was associated with

    insulin use (aOR: 0.77; 95% CI, 0.640.93), but not with

    use of other antidiabetic medications (aOR: 0.98; 95% CI,

    0.861.10) or with diabetes managed without antidiabetic

    medication use (aOR: 0.98; 95% CI, 0.891.09) (Table 2).

    3.1.1. Duration of metformin use

    Increasing duration of metformin use was associated with

    decreasing incidence of PCa. Metformin use of

  • sta

    = pr

    nd u

    E U RO P E AN URO L OG Y 6 6 ( 2 0 1 4 ) 1 0 1 2 1 0 2 0 1015Table 2 The association between metformin use and incident pro

    Cases,n = 12 226,no. (%)

    No diabetes 11 013 (90)

    Diabetes treatment*

    Metformin use only 264 (2)

    Metformin and insulin use 90 (1)

    Insulin use 118 (1)

    Other antidiabetic medication use 294 (2)

    No antidiabetic medication use 447 (4)

    Metformin ever use^ 354 (3)

    Metformin use^

    Recent (12 yr ago) 241 (2)

    Former (>2 yr ago) 23 (0.2)

    Metformin duration of use^

  • tescon

    E U RO P E AN URO LOG Y 6 6 ( 2 0 1 4 ) 1 0 1 2 1 0 2 01016Table 3 Characteristics of subjects with prostate-specific antigenbetween metformin use and incidence of prostate cancer, using unage

    Cases,n = 2511

    Prior PSA tests, no., mean (SD) 2.9 (3.0)

    PSA, ng/ml, median (IQR) 11.0 (6.527.9)

    No diabetes 10.6 (6.426.1)

    Metformin use only 11.8 (7.429.8)

    Metformin and insulin use 11.0 (7.535.1)

    Insulin use 18.0 (5.551.7)

    Other antidiabetic medication use 18.0 (7.841.8)

    No antidiabetic medication use 13.1 (6.935.4)

    No diabetes, no. (%) 2200 (88)

    Diabetes treatment,* no. (%)

    Metformin use 62 (2)

    Metformin and insulin use 28 (1)

    Insulin use 27 (1)

    Other antidiabetic medication use 59 (2)

    No antidiabetic medication use 135 (5)

    Metformin use,^ no. (%)

    Recent (12 yr ago) 56 (2)have lower levels of PSA and therefore are less likely to be

    diagnosedwith PCa. In the diabetic-only analysis, insulin no

    longer resulted in a significant reduction in incidence (aOR:

    0.96; 95% CI, 0.751.22). This finding may be due to more

    pronounced confounding by indication with insulin, since

    the effect dissipated after accounting for increased diabetic

    severity in the matched analysis.

    While our findings support some studies, other studies

    have reported either no effect or even an increased risk of

    PCa following metformin use [1823]. A recent Canadian

    population-based study found no association between

    metformin use and risk of PCa (aOR: 1.03; 95% CI,

    0.961.32) among men >66 yr with diabetes, regardless

    of cancer grade [22]. Themedian duration ofmetformin use,

    however, was only 18.6 mo (IQR: 637). The predominant

    effect of metformin might be in mitigating cancer progres-

    sion rather than in prevention, as supported by a study that

    found that an increasing cumulative dose of metformin

    after diagnosis was associated with a decrease in PCa

    specific mortality among diabetic men [23].

    Former (2 yr ago) 6 (0.2)Metformin duration of use,^ no. (%)

  • Table 5 The association between metformin use and incident prostate cancer stratified by localized and advanced stage using conditionallogistic regression (n = 134 486)

    Localized prostate cancer Advanced prostate cancer

    Cases/controls,no. (%)

    Adjusted OR(95% CI)

    Cases/controls,no. (%)

    Adjusted OR(95% CI)

    No diabetes 4709 (91)/46 392 (89) ref 2449 (91)/24 204 (90) ref

    Diabetes treatment*

    Metformin use only 101 (2)/1406 (3) 0.70 (0.570.87) 59 (2)/539 (2) 1.13 (0.851.49)

    Metformin and insulin use 37 (1)/579 (1) 0.63 (0.450.88) 15 (0.6)/194 (0.7) 0.81 (0.481.38)

    Insulin use 37 (1)/673 (1) 0.56 (0.400.78) 28 (1)/325 (1) 0.89 (0.601.32)

    Other antidiabetic medication use 116 (2)/1146 (2) 1.02 (0.841.24) 67 (2)/757 (3) 0.91 (0.701.17)

    No antidiabetic medication use 202 (4)/1824 (4) 1.09 (0.941.27) 79 (3)/951 (4) 0.85 (0.671.08)

    Metformin ever use^ 138 (3)/1985 (4) 0.68 (0.570.82) 74 (3)/733 (3) 1.04 (0.811.34)

    Metformin use^

    Recent (12 yr ago) 94 (2)/1307 (3) 0.70 (0.570.87) 54 (2)/505 (2) 1.10 (0.821.47)

    Former (2 yr ago) 7 (0.1)/99 (0.2) 0.72 (0.331.55) 5 (0.2)/34 (0.1) 1.55 (0.613.97)Metformin duration of use^

  • Table 6 Association between metformin use and incident prostate cancer among only diabetics using matched conditional logisticregression (n = 13 331)

    Cases,n = 1213,no. (%)

    Controls,n = 12 118,no. (%)

    Adjusted OR 95% CI

    Diabetic treatment*

    No antidiabetic medication use 447 (37) 4181 (35) ref

    Metformin use 264 (22) 2894 (24) 0.83 0.700.99

    Metformin and insulin use 90 (7) 914 (8) 0.92 0.701.19

    Insulin use 118 (10)

    = pr

    nd u

    se

    E U RO P E AN URO LOG Y 6 6 ( 2 0 1 4 ) 1 0 1 2 1 0 2 01018Other antidiabetic medication use 294 (24)

    Metformin use^

    Recent (12 yr ago) 241 (20)

    Former (2 yr ago) 23 (2)Metformin duration of use^

  • r t

    Cla

    34;

    E U RO P E AN URO L OG Y 6 6 ( 2 0 1 4 ) 1 0 1 2 1 0 2 0 1019Appendix A Anatomical Therapeutic Chemical codes fo

    drugs, codes for the cancer diagnoses, and International

    potentially confounding diseases

    Disease ICD 8 code

    Prostate cancer

    Diabetes 249; 250

    Diabetes complications 377.00; 792.99; 410; 431; 433; 4

    440.28; 440.29; 440.99

    Charlson Comorbidity Index diseasesReferences

    [1] Siegel R, NaishadhamD, Jemal A. Cancer statistics, 2013. CA Cancer J

    Clin 2013;63:1130.

    [2] SEER Cancer Statistics Review, 19752008. Bethesda, MD: National

    Cancer Institute; 2011.

    [3] Fall K, Fang F, Mucci LA, et al. Immediate risk for cardiovascular

    events and suicide following a prostate cancer diagnosis: prospec-

    tive cohort study. PLoS Med 2009;6:e1000197.

    [4] Fang F, Keating NL, Mucci LA, et al. Immediate risk of suicide and

    cardiovascular death after a prostate cancer diagnosis: cohort study

    in the United States. J Natl Cancer Inst 2010;102:30714.

    Myocardial infarction 410

    Congestive heart failure 427.09; 427.10; 427.11; 427.19; 428

    Peripheral vascular disease 440; 441; 442; 443; 444; 445

    Cerebrovascular disease 430438

    Dementia 290.09290.19; 293.09

    Chronic pulmonary disease 490493; 515518

    Connective tissue disease 712; 716; 734; 446; 135.99

    Ulcer disease 530.91; 530.98; 531534

    Mild liver disease 571; 573.01; 573.04

    Diabetes 249.00; 249.06; 249.07; 249.09 250.0

    250.07; 250.09

    Hemiplegia 344

    Moderate to severe renal disease 403; 404; 580583; 584; 590.09; 59

    753.10753.19; 792

    Diabetes with end organ damage 249.01249.05; 249.08 250.01250.0

    Any tumor 140194

    Leukemia 204207

    Lymphoma 200203; 275.59

    Moderate to severe liver disease 070.00; 070.02; 070.04; 070.06; 070.

    573.00; 456.00456.09

    Metastatic solid tumor 195198; 199

    AIDS 079.83

    Procedure Procedure codes

    Prostate biopsy KKEB, KTKE00

    Drug ATC code

    Diabetes overall A10A; A10B

    Insulin

    Fast acting A10AA01; A10AB01; A10AB04; A10AB05

    Intermediate acting A10AA02; A10AC01

    Intermediate, rapid onset A10AA03; A10AD01; A10AD04; A10AD05

    Other analogues, long acting A10AE; A10AE04; A10AE05

    Metformin A10BA02; A10BD02; A10BD03; A10BD05

    Other Rest of the A10A and A10B codes

    Statins C10AA

    Proton pump inhibitors A02BC

    ATC = Anatomical Therapeutic Chemical; ICD = International Classication of Disehe primary exposure drugs and potentially confounding

    ssification of Diseases hospital diagnosis codes for

    ICD 10 code

    C61

    E10E14; H360; O24 except O244

    436; 440.20; G62.9; G63.2; H10.2; H33.4; H43.1; H45.0; I61; I63;

    I64; I70.2; I70.9; N08.3; N18; N19[5] Bill-Axelson A, Garmo H, Holmberg L, et al. Long-term distress after

    radical prostatectomy versus watchful waiting in prostate cancer: a

    longitudinal study from the Scandinavian Prostate Cancer Group-4

    Randomized Clinical Trial. Eur Urol 2013;64:9208.

    [6] Andersson SO, Andren O, Lyth J, et al. Managing localized prostate

    cancer by radical prostatectomy or watchful waiting: cost analysis

    of a randomized trial (SPCG-4). Scand J Urol Nephrol 2011;45:

    17783.

    [7] Giovannucci E. Metabolic syndrome, hyperinsulinemia, and colon

    cancer: a review. Am J Clin Nutr 2007;86:s83642.

    [8] Hsing AW, Gao YT, Chua Jr S, Deng J, Stanczyk FZ. Insulin resistance

    and prostate cancer risk. J Natl Cancer Inst 2003;95:6771.

    I21; I22; I23

    .99; 782.49 I50; I11.0; I13.0; I13.2

    I70; I71; I72; I73; I74; I77

    I60I69; G45; G46

    F00F03; F05.1; G30

    J40J47; J60J67; J68.4; J70.1; J70.3; J84.1; J92.0; J96.1;

    J98.2; J98.3

    M05; M06; M08; M09; M30; M31; M32; M33; M34;

    M35; M36; D86

    K22.1; K25K28

    B18; K70.0K70.3; K70.9; K71; K73; K74; K76.0

    0; 250.06; E10.0, E10.1; E10.9 E11.0; E11.1; E11.9

    G81; G82

    3.19; I12; I13; N00N05; N07; N11; N14; N17N19; Q61

    5; 250.08 E10.2E10.8 E11.2E11.8

    C00C75

    C91C95

    C81C85; C88; C90; C96

    08; B15.0; B16.0; B16.2; B19.0; K70.4; K72; K76.6; I85

    C76C80

    B21B24

    ases.

  • [9] Freedland SJ, Aronson WJ, Kane CJ, et al. Impact of obesity on

    biochemical control after radical prostatectomy for clinically local-

    ized prostate cancer: a report by the Shared Equal Access Regional

    CancerHospital database study group. J Clin Oncol 2004; 22:44653.

    [10] Gong Z, Neuhouser ML, Goodman PJ, et al. Obesity, diabetes, and

    risk of prostate cancer: results from the prostate cancer prevention

    trial. Cancer Epidemiol Biomarkers Prev 2006;15:197783.

    [11] Venkateswaran V, Haddad AQ, Fleshner NE, et al. Association of diet-

    induced hyperinsulinemia with accelerated growth of prostate can-

    cer (LNCaP) xenografts. J Natl Cancer Inst 2007;99: 1793800.

    [12] Kasper JS, Liu Y, Giovannucci E. Diabetes mellitus and risk of

    prostate cancer in the health professionals follow-up study. Int J

    Cancer 2009;124:1398403.

    [13] Bonovas S, Filioussi K, Tsantes A. Diabetes mellitus and risk of

    prostate cancer: a meta-analysis. Diabetologia 2004;47:10718.

    [14] Alexander GC, Sehgal NL, Moloney RM, Stafford RS. National trends

    in treatment of type 2 diabetes mellitus, 19942007. Arch Intern

    Med 2008;168:208894.

    [15] Cusi K. Metformin: a review of its metabolic effects. Diabetes Rev

    1998;6:89131.

    [16] Zakikhani M, Dowling RJ, Sonenberg N, Pollak MN. The effects of

    adiponectin and metformin on prostate and colon neoplasia in-

    volve activation of AMP-activated protein kinase. Cancer Prev Res

    (Phila) 2008;1:36975.

    [17] Akinyeke T, Matsumura S, Wang X, et al. Metformin targets c-MYC

    [21] Murtola TJ, Tammela TL, Lahtela J, Auvinen A. Antidiabetic medi-

    cation and prostate cancer risk: a population-based case-control

    study. Am J Epidemiol 2008;168:92531.

    [22] Margel D, Urbach D, Lipscombe LL, et al. Association between

    metformin use and risk of prostate cancer and its grade. J Natl

    Cancer Inst 2013;105:112331.

    [23] Margel D, Urbach DR, Lipscombe LL, et al. Metformin use and all-

    cause and prostate cancer-specic mortality among men with

    diabetes. J Clin Oncol 2013;3:306975.

    [24] Fall K, Garmo H, Gudbjornsdottir S, Stattin P, Zethelius B. Diabetes

    mellitus and prostate cancer risk; a nationwide case-control study

    within PCBaSe Sweden. Cancer Epidemiol Biomarkers Prev 2013;

    22:11029.

    [25] Ehrenstein V, Antonsen S, Pedersen L. Existing data sources for

    clinical epidemiology: Aarhus University Prescription Database.

    Clin Epidemiol 2010;2:2739.

    [26] Pedersen CB, Gotzsche H, Moller JO, Mortensen PB. The Danish Civil

    Registration System: a cohort of eight million persons. Dan Med

    Bull 2006;53:4419.

    [27] Gaist D, Sorensen HT, Hallas J. The Danish prescription registries.

    Dan Med Bull 1997;44:4458.

    [28] Storm HH, Michelsen EV, Clemmensen IH, Pihl J. The Danish Cancer

    Registryhistory, content, quality and use. Dan Med Bull 1997;

    44:5359.

    [29] Frank L. Epidemiology: when an entire country is a cohort. Science

    2000;287:23989.

    Danish National Hospital Register: a valuable source of data for

    E U RO P E AN URO LOG Y 6 6 ( 2 0 1 4 ) 1 0 1 2 1 0 2 01020[18] Wright JL, Stanford JL. Metformin use and prostate cancer in

    Caucasian men: results from a population-based case-control

    study. Cancer Causes Control 2009;20:161722.

    [19] Azoulay L, DellAniello S, Gagnon B, Pollak M, Suissa S. Metformin

    and the incidence of prostate cancer in patients with type 2

    diabetes. Cancer Epidemiol Biomarkers Prev 2011;20:33744.

    [20] Decensi A, Puntoni M, Goodwin P, et al. Metformin and cancer risk

    in diabetic patients: a systematic review andmeta-analysis. Cancer

    Prev Res (Phila) 2010;3:145161.modern health sciences. Dan Med Bull 1999;46:2638.

    [31] Grann AF, Erichsen R, Nielsen AG, Froslev T, Thomsen RW. Existing

    data sources for clinical epidemiology: the clinical laboratory in-

    formation system (LABKA) research database at Aarhus University,

    Denmark. Clin Epidemiol 2011;3:1338.

    [32] Rothman KJ, Greenland S, Lash TL. Modern epidemiology. ed. 3

    Philadelphia, PA: Lippincott Williams and Wilkins; 2008.282332. [30] Andersen TF, Madsen M, Jorgensen J, Mellemkjoer L, Olsen JH. Theoncogene to prevent prostate cancer. Carcinogenesis 2013;34:

    Metformin Use and Prostate Cancer RiskIntroductionMaterial and methodsSource population and study designCasesPopulation controlsExposureCovariatesStatistical analysis

    ResultsMetformin useDuration of metformin useIntensity and cumulative dose of metformin use

    Sensitivity analysesProstate-specific antigen testingSeverity of diabetesStage

    DiscussionConclusionsReferences- Anatomical Therapeutic Chemical codes for the primary exposure drugs and potentially confounding drugs, codes for the cancer diagnoses, and International Classification of Diseases hospital diagnosis codes for potentially confounding diseases