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Table 4 Trend estimates for incidence, prevalence, and mortality with respect to treatment with anti-diabetic agents

From: Counting drugs to understand the disease: The case of measuring the diabetes epidemic

Run-in

Treatment

Gender

Prevalence

Incidence

Mortality among treated

Relative Mortality

One year

All anti-diabetic

F

1.036

1.032, 1.040

1.045

1.035, 1.055

0.973

0.959, 0.987

0.991

0.986, 0.995

  

M

1.044

1.040, 1.048

1.045

1.036, 1.054

0.974

0.961, 0.987

0.977

0.973, 0.982

 

Insulin

F

1.036

1.030, 1.043

1.048

1.033, 1.064

0.977

0.955, 1.000

0.990

0.986, 0.994

  

M

1.045

1.039, 1.050

1.067

1.053, 1.082

1.000

0.976, 1.023

0.977

0.973, 0.981

 

Oral antidiab.

F

1.045

1.039, 1.051

1.052

1.042, 1.059

0.969

0.953, 0.986

0.992

0.987, 0.996

  

M

1.052

1.046, 1.058

1.049

1.040, 1.058

0.959

0.943, 0.974

0.979

0.975, 0.984

Two year

All anti-diabetic

F

1.035

1.031, 1.039

1.048

1.038, 1.058

0.972

0.959, 0.986

0.990

0.986, 0.995

  

M

1.045

1.040, 1.049

1.045

1.035, 1.054

0.978

0.965, 0.991

0.978

0.974, 0.982

 

Insulin

F

1.034

1.028, 1.040

1.049

1.033, 1.065

0.970

0.949, 0.992

0.990

0.986, 0.994

  

M

1.045

1.040, 1.051

1.065

1.050, 1.080

1.005

0.983, 1.028

0.977

0.973, 0.982

 

Oral antidiab.

F

1.043

1.037, 1.049

1.055

1.045, 1.066

0.970

0.954, 0.987

0.991

0.987, 0.995

  

M

1.052

1.046, 1.058

1.050

1.040, 1.060

0.964

0.949, 0.979

0.980

0.976, 0.984

Variable

All anti-diabetic

F

1.046

1.042, 1.050

1.032

1.023, 1.041

0.974

0.962, 0.985

0.991

0.987, 0.995

  

M

1.053

1.049, 1.057

1.028

1.020, 1.036

0.973

0.962, 0.984

0.979

0.975, 0.982

  1. Estimated age-adjusted, annual trends with 95%-confidence intervals for different categories of anti-diabetic drugs and with different lengths of run-in periods, Fyn County, Denmark, 1992–2003. For prevalence the trend estimate is given as an odds-ratio based on logistic regression, whereas the remaining estimates are rate-ratios based on Poisson regression. The start of the study period depends on the length of run-in period used.