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Table 2 Hazard ratios of drug use for cancer in patients with type 2 diabetes after excluding prevalent users for the drug in question using a non-time-dependent Cox regression model, with adjustment for co-variables, propensity score and drug use during follow-up

From: Additive effects of blood glucose lowering drugs, statins and renin-angiotensin system blockers on all-site cancer risk in patients with type 2 diabetes

Users versus non-users

Sample size

Number of events

Hazard ratio (95% CI)

P

ACEIs or ARBs

    

 Model 1

4,307

199

0.38 (0.27, 0.53)

<0.00001

 Model 2

4,307

199

0.60 (0.43, 0.84)

0.0027

 Model 3

4,307

199

0.55 (0.39, 0.78)

0.0009

Statins

    

 Model 1

5,172

243

0.36 (0.24, 0.53)

<0.0001

 Model 2

5,172

243

0.47 (0.32, 0.70)

0.0002

 Model 3

5,172

243

0.47 (0.31, 0.70)

0.0003

Insulin

    

 Model 1

4,639

201

0.48 (0.31, 0.73)

0.0006

 Model 2

4,639

201

0.59 (0.39, 0.89)

0.0110

 Model 3

4,639

201

0.58 (0.38, 0.89)

0.0119

Metformin

    

 Model 1

2,658

129

0.38 (0.25, 0.56)

<0.0001

 Model 2

2,658

129

0.39 (0.25, 0.61)

<0.0001

 Model 3

2,658

129

0.39 (0.25, 0.61)

<0.0001

Sulphonylurea

    

 Model 1

2,291

99

0.45 (0.29, 0.72)

0.0008

 Model 2

2,291

99

0.44 (0.27, 0.73)

0.0013

 Model 3

2,291

99

0.44 (0.27, 0.73)

0.0014

TZDs

    

 Model 1

6,074

270

0.12 (0.03, 0.50)

0.0033

 Model 2

6,074

270

0.17 (0.04, 0.69)

0.0133

 Model 3

6,074

270

0.18 (0.04, 0.72)

0.0153

  1. Model 1 adjusted for propensity scores (c-statistics = 0.80 for ACEIs or ARBs; 0.80 for statins; 0.79 for insulin; 0.73 for metformin; 0.66 for sulphonylurea; and 0.74 for TZDs), which were calculated using logistic regression procedures with age, sex, body mass index, low- and high-density lipoprotein cholesterols (LDL-C and HDL-C), triglyceride, use of tobacco and alcohol, HbA1c, systolic blood pressure, natural log of the albumin-to-creatinine ratio, estimated glomerular filtration rate, duration of disease, peripheral arterial disease, retinopathy, neuropathy, prior myocardial infarction and stroke as independent variables. Model 2 adjusted for LDL-C-related risk indicators (that is, LDL-C <2.8 mmol/L plus albuminuria or LDL-C ≥3.8 mmol/L); non-linear associations of HDL-C and triglyceride for cancer; body mass index (<24, ≥27.6 kg/m2); age; sex; employment status; use of tobacco and alcohol; duration of disease; systolic blood pressure; and use of statins, ACEIs/ARBs, fibrates, sulphonylurea, metformin and TZDs during follow-up. Model 3 adjusted for all factors in model 2 plus the propensity score of the drug in question. No patient had been exposed to the drug in question for at least 2.5 years prior to enrolment. ACEIs, angiotensin-converting enzyme inhibitors; ARBs, angiotensin II receptor blockers; CI, confidence interval; TZD, thiazolidinediones.