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Table 1 Outcomes for three DCIS submodels with and without regression during 1975–2015 for women aged 30–79 years

From: Modeling the natural history of ductal carcinoma in situ based on population data

  

Df

1a noReg

1b wReg

2a noReg

2b wReg

3a noReg

3b wReg

Goodness-of-fit Deviance (observed-estimated)^2

 DCIS deviance (p value*)

Model D

40

665 (0.98)

1182 (0.82)

1242 (0.79)

2168 (0.15)

1307 (0.77)

1121 (0.89)

Model E

40

1505 (0.18)

2071 (0.004)

698 (0.95)

926 (0.81)

1637 (0.12)

1064 (0.56)

 IBC deviance (p value*)

Model D

40

2734 (1.00)

2499 (1.00)

3406 (1.00)

2585 (1.00)

3116 (1.00)

3527 (1.00)

Model E

40

3183 (1.00)

4386 (0.98)

6071 (0.86)

5388 (0.95)

5921 (0.80)

2510 (1.00)

Mean sojourn time

 MST of preclinical screen-detectable DCIS before progressing to preclinical IBC

Model D

 

2.5

1.5

0.7

0.5

0.4

0.2

Model E

 

0.9

0.5

0.8

0.4

1.0

0.6

 MST of preclinical screen-detectable DCIS before progressing to clinical DCIS

Model D

 

2.5

1.5

1.9

1.9

1.9

1.9

Model E

 

3.9

3.1

4.5

0.9

7.7

1.4

 MST of preclinical screen-detectable DCIS before regressing

Model D

 

NA

1.5

NA

1.5

NA

1.5

Model E

 

NA

4.0

NA

1.3

NA

0.6

Overdiagnosis

 % DCIS overdiagnosis

Model D

 

4.8%

19.3%

3.4%

13.3%

3.1%

19.1%

Model E

 

35.2%

65.8%

33.7%

62.2%

33.6%

47.8%

 % IBC overdiagnosis

Model D

 

2.4%

2.4%

2.4%

2.4%

2.4%

2.4%

Model E

 

1.4%

1.4%

1.4%

1.4%

1.3%

1.4%

 % DCIS + IBC overdiagnosis

Model D

 

2.7%

5.1%

2.5%

4.2%

2.5%

5.0%

Model E

 

6.0%

10.5%

5.8%

9.7%

6.7%

8.6%

  1. DCIS ductal carcinoma in situ, IBC invasive breast cancer, NA not available, df degree of freedom, noReg model without DCIS regression, wReg model with DCIS regression
  2. *p values from chi-square tests; mean sojourn times are expressed in number of years