Journal of Clinical Medicine Research, ISSN 1918-3003 print, 1918-3011 online, Open Access
Article copyright, the authors; Journal compilation copyright, J Clin Med Res and Elmer Press Inc
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Original Article

Volume 11, Number 4, April 2019, pages 247-255


Association Between the Use of Thiazide Diuretics and the Risk of Skin Cancers: A Meta-Analysis of Observational Studies

Figures

Figure 1.
Figure 1. Flow diagram of studies identified and selected.
Figure 2.
Figure 2. The risk of skin cancers among those who used thiazide diuretics. OR: odds ratio; RR: relative risk. *Weights are from random-effects analysis.
Figure 3.
Figure 3. Subgroup meta-analysis on the use of HCTZ or HCTZ combination medications and the risk of skin cancers. HCTZ: hydrochlorothiazide; OR: odds ratio; RR: relative risk. *Weights are from random-effects analysis.
Figure 4.
Figure 4. Funnel plots of studies for the use of thiazide diuretics and the risk of skin cancers. (a) Basal cell carcinoma, (b) squamous cell carcinoma, and (c) malignant melanoma.

Tables

Table 1. Characteristics of Studies Included in the Final Analysis of Thiazide Diuretics and Skin Cancer
 
StudyCountryStudy designMedicationOutcomeStudy population (case group or cohort)Exposed/ unexposedRR or OR (95% CI)Adjusted RR or OR (95% CI)Study period (year)Adjustment
BCC: basal cell carcinoma; SCC: squamous cell carcinoma; MM: malignant melanoma; HCTZ: hydrochlorothiazide; RR: risk ratio; OR: odds ratio; CI: confidence interval; NA: not available; USA: United States of America.
Pottegard 2017DenmarkCase-controlHCTZSCCMean age 72, men 67.3%Cases: 139/494, controls:7,401/55,6662.2 (1.8 - 2.6)2.1 (1.7 - 2.6)2004 - 2012Adjusted for age, gender, calendar time, use of topical retinoids, oral retinoids, tetracycline, macrolides, aminoquinolines, amiodarone, aspirin, non-aspirin non-steroidal anti-inflammatory drugs, statins, history of heavy alcohol consumption, diabetes, or chronic obstructive pulmonary disease, non-melanoma skin cancer, Charlson Comorbidity Index score, and highest achieved education
Nardone 2017USACohortThiazidesBCCAge 18 - 89, men 37.5%, white 34%Cases: 262/457, controls: 15,166/45,4981.73 (1.49 - 2.02)2.11 (1.60 - 2.79)2004 - 2014Matched for age and time to follow-up, and adjusted for age, gender, race, and the Charlson Comorbidities Index
SCCCases: 130/132, controls: 15,166/45,4982.97 (2.33 - 3.79)4.11 (2.66 - 6.35)
MMCases: 99/145, controls:15,166/45,4982.06 (1.59 - 2.66)1.82 (1.01 - 3.82)
Schmidt 2015DenmarkCase-controlThiazidesBCCMedian age 67, men 50%Cases: 2,710/10,473, controls: 26,504/107,016NA1.05 (1.00 - 1.11)1991 - 2010Matched for birth year, sex and county of residence, and adjusted for Charlson Comorbidity Index score, hospital-diagnosed obesity and use of systemic glucocorticoids, aspirin, non-aspirin non-steroidal, anti-inflammatory drugs and statins
SCCMedian age 77, men 63%Cases: 447/1,135, controls: 4,458/12,007NA1.03 (0.91 - 1.17)
MMMedian age 58, men 46%Cases: 403/2,648, controls: 3,786/26,686NA1.11 (0.97 - 1.25)
Robinson 2013USACase-controlHCTZ or combinationSCCAge 25 - 74, men 61.7%Cases: 1,599 in total, controls: 1,906 in totalNA1.3 (0.7 - 2.4)1993 - 2009Matched for age and sex, and adjusted for age, sex, and number of previous painful sunburns
de Vries 2012Europe (multi-center)Case-controlThiazidesBCCMedian age 72, men 59.6%Case: 94/508, control: 136/1,4141.92 (NA)1.27 (0.92 - 1.75)NAMatched for age and sex, and adjusted for age, sex, skin photo-type and country
SCCMedian age 76, men 70.2%Case: 99/310, control: 136/1,4143.32 (NA)1.66 (1.16 - 2.37)
MMMedian age 62, men 54.4%Cases: 33/327, control: 136/1,4141.05 (NA)1.22 (0.77 - 1.93)
Friedman 2012USACase-controlHCTZ or
combination
SCCMean age 68, men 74.4%, non-Hispanic white 100%Cases: 103/609, controls: 1,896/21,0082.22 (1.76 - 2.79)2.19 (1.74 - 2.76)1994 - 2008Matched for age, sex, and year of entry into the cohort, and adjusted for smoking
Ruiter 2010NetherlandsCohortThiazidesBCCMean age 69, men 40%137/385NA1.00 (0.95 - 1.05)1991 - 2007Adjusted for age and gender, and none of the potential covariates was a confounder
Jensen 2008DenmarkCase-controlHCTZBCCMean age 69Cases: 542/5,422, controls: 2,059/21,797NA1.05 (0.95 - 1.16)1989 - 2003Matched for age and sex, and adjusted for prior hospitalization for selected chronic diseases and use of glucocorticoids
SCCMean age 77Cases: 159/910, controls: 427/4,089NA1.58 (1.29 - 1.93)
MMMean age 59Cases: 98/912, controls: 303/3,737NA1.32 (1.03 - 1.70)
Westerdahl 1996SwedenCase-controlThiazideMMAge 15 - 75, men 46.6%Cases: 20/328, controls: 25/5351.4 (0.7 - 2.7)1.4 (0.7 - 2.8)1988 - 1990Matched for sex, age, parish, and adjusted for history of sunburns and host factors (hair color, number of raised naevi)

 

Table 2. Subgroup Analyses for Use of Thiazides and Risk of Skin Cancers Using Random-Effects Model
 
No. of studiesOR (95% CI)I2 (%)Q-statisticsP value
I2: Higgins score; NA: not available. *More than 4.5 years.
Basal cell carcinoma
  Duration of use, long-term use*21.10 (0.96 - 1.25)0.00.01.000
  Study design
    Case-control21.08 (0.95 - 1.23)89.61.30.252
    Cohort21.43 (0.69 - 2.98)96.326.8< 0.001
Squamous cell carcinoma
  Duration of use, long-term use*33.30 (1.85 - 5.89)90.721.4< 0.001
  Study design
    Case-control51.61 (1.08 - 2.38)92.352.3< 0.001
    Cohort1NANANANA
Malignant melanoma
  Duration of use, long-term use*1NANANANA
  Study design
    Case-control31.13 (1.00 - 1.27)0.00.60.761
    Cohort1NANANANA