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Table 1 Parameters of the model and their distributions

From: In situ breast cancer surgeries in Sweden: lumpectomy or mastectomy?—a cost-effectiveness analysis over a 30-Year period using Markov model

Parameter description

Name

Deterministic value

Evidences & Explanation

PSA Distribution*

Mean Age (at time entering the model)

age

58

Patient dataset from Swedish Cancer Registry data [20]

Normal (SD: 11.8)

General Swedish population Mortality rate

mor_gp

Varies on age

WHO (2021) [36]

NA

Annual transition probability of

    

patient remaining at cancer free

tpA2A

Varies

= 1-tpA2B-tpA2D-tpA2F

NA

patient having loco-regional recurrence from cancer free

tpA2B

Varies

See Table 2

Beta (54.84, 944.16)

patient developing metastasis from cancer free

tpA2D

0.008

CI: 0.143 in 20-year followed up [17]

Beta (7.70, 991.30)

patient remaining at local/regional recurrence

tpB2B

0.770

= 1-tpB2C-tpB2F

NA

patient getting remission after suffering local/regional recurrence

tpB2C

0.165

CI: 0.763 in 8-year followed up [31]

Beta (164.52, 834.48)

patient dying from having local/regional recurrence

tpB2F

0.065

CI: 0.49 in 10-year followed up [33]

Beta (65.05, 933.95)

patient remaining remission after suffering local/regional recurrence

tpC2C

Varies

= 1-tpC2D-tpC2F

NA

patient developing metastasis after remission from local/regional recurrence

tpC2D

0.230

CI: 0.73 in 5-year followed up [34]

Beta (230.16, 768.84)

patient remaining at metastasis

tpD2D

0.447

= 1-tpD2E-tpD2F

 

patient getting remission after suffering metastasis

tpD2E

0.375

CI: 0.609 in 2-year followed up [35]

Beta (374.33, 624.67)

patient dying from having metastasis

tpD2F

0.178

CI:0.86 in 10-year followed up [32]

Beta (178.31, 820.69)

patient remaining remission after suffering metastasis

tpE2E

Varies

= 1-tpE2F

NA

dying without breast cancer

tpA2F

tpC2F

tpE2F

Varies

= mor_gp

NA

remaining death

tpF2F

1.000

 

NA

Costs from healthcare perspective (in SEK)

    

baseline cost—mastectomy

cam

87,670

Patient dataset from Swedish National Cancer Registry data [20] & Socialstyrelsen (2020) [41]

Gamma (656.50, 133.54)

baseline cost—lumpectomy without irradiation

cal_wo

27,655

Gamma (4,253.80, 6.50)

baseline cost—lumpectomy with irradiation

cal_w

50,352

Gamma (6,217.04, 8.10)

at State B, mastectomy

cbm

17,680

Gamma (26.70, 662.20)

at State B, lumpectomy (either with or without irradiation)

cbl

87,670

Gamma (42,749.59, 2.05)

at State D, all alternatives

cdm

cdl_wo

cdl

499,343

Lidgren et al. (2008) [40]

Gamma (1,386,844.91, 0.36)

Other costs from societal perspective

    

informal care cost

infocare

10,003

Lidgren et al. (2008) [40]

NA

productivity gained (moving from mastectomy to lumpectomy in first 10-year followed-up)

prod

4,104

Norum et al. (1997) [12]

NA

Utility weights

    

State A, mastectomy

uam

0.84

Norum et al. (1997) [12]

Beta (839.16, 159.84)

State A, lumpectomy (either with or without irradiation)

ual

0.87

Norum et al. (1997) [12]

Beta (869.13, 129.87)

State B

ub

0.78

Lidgren et al. (2007) [39]

Beta (778.22, 220.78)

State C

uc

0.81

Assumptions: Average of State A and B

Beta (808.69, 190.31)

State D

ud

0.69

Lidgren et al. (2007) [39]

Beta (684.32, 314.69)

State E

ue

0.76

Assumptions: Average of State A and D

Beta (761.74, 237.26)

Annual discounting rate

    

costs (%)

cDR

3%

Edling and Stenberg (2003) [44]

NA

benefits (%)

oDR

3%

Edling and Stenberg (2003) [44]

NA

  1. NA indicates not applicable; SD, standard deviation; SEK, Swedish krona
  2. *PSA distributions presented with the format: “distribution type (alpha, beta)”