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. 2014 Jan 31;9(1):e87019. doi: 10.1371/journal.pone.0087019

Table 1. Characteristics of included studies assessing the risk of haematological malignancies with statin use.

Study Year of publication Study design Country Statin Follow up (years) Time Period Sex Study setting Cases/Subjects Cancer outcome Confounding variables adjusted
Lutski M 2012 cohort Israel A,P,S 4.7(mean) 1998–2006 M/F Population-based 681/202,648 Haematological malignancies HR: 0.69 (0.55–0.88)Leukemia HR: 0.58 (0.37–0.91)Lymphoma HR: 0.69 (0.51–0.94) Age, sex, marital status, area of residence, nationality, socioeconomic level, years of stay in Israel, obesity, diabetes mellitus, hypertension, cardiovascular disease, efficacy, hospitalizations and visits to physicians a year before first statin dispensation, and asthma
HPS 2011 RCT England S 5.3(mean) 1994–2001 M/F Hospital-based 327/20,536 Haematological malignancies RR: 1.01 (0.81–1.25) Randomization
Vinogradova Y 2011 case-control England A,P,S 2.3(median) 1998–2008 M/F Population-based 7,185/29,162 Haematological malignancies OR: 0.78 (0.71–0.86) Townsend quintile, BMI, smoking status, myocardial infarction, coronary heart disease, diabetes, hypertension, stroke, rheumatoid arthritis, use of NSAIDs, Cox2-inhibitors, aspirin
Jacobs EJ 2011 cohort America F,L,P,S ≥5(mean) 1997–2007 M/F Population-based 1,005/133,255 Non-Hodgkin lymphoma RR: 0.74 (0.62–0.89) Age, sex, race, education, smoking, use of NSAIDs, BMI, physical activity, history of elevated cholesterol, diabetes, heart disease, hypertension
Chao C 2011 case-control America A,L,P,S NR 1996–2008 M/F Hospital-based 259/1,554 Non-Hodgkin lymphoma HR: 0.55 (0.31–0.95) Age, sex, race, index year, known duration of HIV infection, Kaiser Permanente region (Northern or Southern California), clinical AIDS diagnosis prior to index date (yes/no), duration of antiretroviral therapy (ART) use (years), baseline CD4 cell count level (<200, 201–500, and>500/m l), and history of selected co-morbidity (yes/no), history of hepatitis B and C, diabetes, and obesity
Friedman GD 2008 cohort America A, C, F, L, P, R, S ≥5(mean) 1994–2003 M/F Population-based 312/361,859 Hodgkin lymphoma HR: 1.08 (0.26–4.42)Non-Hodgkin lymphoma HR: 1.02 (0.71–1.45)Multiple myeloma HR: 0.81 (0.42–1.58)Lymphocytic leukemia HR: 0.86 (0.41–1.84)Myeloid leukemia HR: 0.40 (0.15–1.09) Smoking, use of NSAIDs, calendar year
Coogan PF 2007 case-control America NR 3–6(median) 1991–2005 M/F Hospital-based 25/379 Leukemia OR: 1.1 (0.6–2.0)Non-Hogdkin lymphoma OR: 1.2 (0.6–2.4) Age, sex, BMI, interview year, study center, alcohol consumption, race, years of education, smoking, use of NSAID
Landgren O 2006 case-control America NR 1.8–11.2(median) 1996–2002 F Population-based 179/870 Multiple myeloma OR:0.4(0.2–0.8) Age, race, education, and BMI
Iwata H 2006 case-control Japan F,P,S 4(median) 1995–2001 M/F Hospital-based 221/1100 Lymphoma OR: 2.06(0.88–4.8)Multiple myeloma OR: 3.99(1.75–9.10) Age, sex, year of visit, serological status for anti-Hepatitis B surface antigens (HBsAg) and anti-Hepatitis C virus antibodies (HCVAb)
Fortuny J 2006 case-control Czech Republic, France, Germany, Ireland, Italy, and Spain >6.25(mean) 1998–2004 M/F Population-based 2,362/4,568 Lymphoma OR: 0.61 (0.33–1.15) Age, gender, and country
Friis S 2005 cohort Denmark A, C, F, L, P, S 3.3(mean) 1989–2002 M/F Population-based 1,626/334,754 Haematological malignancies RR: 0.88 (0.60–1.29) Age, sex, calendar period, use of NSAIDs, use of hormone, use of cardiovascular drugs
Zhang Y 2004 case-control America NR NR 1996–2000 F Population-based 601/1,318 Non-Hodgkin lymphoma OR: 0.5(0.4–0.8) Age, BMI, menopausal status, and family history of non-Hodgkin lymphoma
Strandberg TE 2004 RCT Nordic countries S 5.4(median) 1988–1994 M/F Hospital-based 36/4,444 Haematological malignancies RR: 1.12 (0.58–2.14) Randomization
Graaf MR 2004 case-control Netherlands A, C, F, P, S 7.2(mean) 1995–1998 M/F Population-based 93/20,105 Lymphoma OR: 0.28 (0.06–1.30) Age, sex, geographic region, follow-up time, calendar time, diabetes mellitus, chronic use of diuretics, use of ACE inhibitors,use of calcium antagonists, use of NSAIDs, use of hormones, other lipid-lowering therapies, familiar hypercholesterolemia
Holdaas H 2003 RCT Belgium, Denmark, Finland, Germany, Norway,Sweden, Switzerland, the UK, and Canada F 5.1(mean) 1996–1997 M/F Hospital-based 29/2,102 Haematological malignancies RR: 0.61 (0.29–1.29) Randomization
LIPID Study Group 2002 RCT Australia and New Zealand P ≥8(mean) 1990–1992 M/F Hospital-based 89/7,680 Haematological malignancies RR: 0.70 (0.46–1.07) Randomization
Blais L 2000 case-control Canada L, P, S 2.7(median) 1988–1994 M/F Population-based 24/264 Lymphoma RR: 2.17 (0.38–12.36) Age, sex, use of fibric acid, use of other lipid-reducing agents, previous benign neoplasm, year of cohort entry, the score of comorbidity
Downs JR 1998 RCT America L 5.2(mean) 1990–1997 M/F Hospital-based 23/6,605 Lymphoma RR: 0.92 (0.41–2.08) Randomization
Traversa G 1998 case-control Italy NR NR 1992–1994 M/F Population-based 202/2,222 Leukemia OR: 1.3 (0.6–3.0) Age,gender
Sacks FM 1996 RCT Canada and America P 5(mean) 1989–1991 M/F Hospital-based 18/4,159 Haematological malignancies RR: 0.80(0.32–2.02) Randomization

NR = not reported; RR = Relative risk; HR = Hazard ratio; OR = Odds ratio; M =  male; F = female; BMI = body mass index; RCT =  randomized controlled trial.