| Literature DB >> 30517521 |
Marcelo Cristiano de Azevedo Ramos1, Maria Aparecida Azevedo Koike Folgueira2, Simone Maistro2, Alessandro Gonçalves Campolina2, Patricia Coelho de Soárez3, Geertruida Hendrika de Bock4, Hillegonda Maria Dutilh Novaes3, Maria Del Pilar Estevez Diz5.
Abstract
OBJECTIVE: To analyze the cost effectiveness of the diagnostic program for the germline mutation in BRCA1/2 genes and of preventative strategies for the relatives of patients diagnosed with ovarian cancer associated with this mutation.Entities:
Mesh:
Year: 2018 PMID: 30517521 PMCID: PMC6280621 DOI: 10.11606/S1518-8787.2018052000643
Source DB: PubMed Journal: Rev Saude Publica ISSN: 0034-8910 Impact factor: 2.106
Figure 1Markov model for strategies involving relatives of patients with ovarian cancer.
Probabilities used in the decision model.
| Description | Estimate | Range | Reference |
|---|---|---|---|
| Probability of mutation in | 0.45 | - | Maistro et al.6 (2016) |
| Probability of mutation in | 0.05 | - | Maistro et al.6 (2016) |
| Probability of adherence to bilateral prophylactic mastectomy | 0.57 | 0.47-0.66 | Chen et al.17 (2007) |
| Probability of adherence to risk reduction salpingo-oophorectomy | 0.49 | 0.40-0.57 | Chen et al.17 (2007) |
| Probability of developing breast cancer in the absence of mutation in | 0.06 | 0.03-0.08 | Ferlay et al.30 (2013) |
| Probability of developing ovarian cancer in | 0.40 | 0.35-0.46 | Chen et al.17 (2007) |
| Probability of developing ovarian cancer in | 0.18 | 0.13-0.23 | Chen et al.17 (2007) |
| Probability of developing ovarian cancer in the absence of mutation in | 0.006 | 0.005-0.01 | Ferlay et al.30 (2013) |
| Probability of adherence to bilateral prophylactic mastectomy | 0.18 | 0.16-0.20 | Metcalfe et al.18 (2008) |
| Probability of adherence to risk reduction salpingo-oophorectomy | 0.57 | 0.55-0.59 | Metcalfe et al.18 (2008) |
| Probability of developing breast cancer in | 0.04 | 0.03-0.05 | De Felice et al.19 (2015); Chen et al.17 (2007) |
| Probability of developing breast cancer in | 0.03 | 0.03-0.04 | De Felice et al.19 (2015); Chen et al.17 (2007) |
| Probability of developing breast cancer in | 0.28 | 0.23-0.32 | Rebbeck et al.20 (2009); Chen et al.17 (2007) |
| Probability of developing breast cancer in | 0.24 | 0.20-0.28 | Rebbeck et al.20 (2009); Chen et al.17 (2007) |
| Probability of developing breast cancer in | 0.02 | 0.01-0.03 | De Felice et al.19 (2015); Rebbeck et al.20 (2009); Chen et al.17 (2007) |
| Probability of developing breast cancer in | 0.02 | 0.01-0.02 | De Felice et al.19 (2015); Rebbeck et al.20 (2009); Chen et al.17 (2007) |
| Probability of developing ovarian cancer in | 0.08 | 0.07-0.10 | Rebbeck et al.20 (2009); Chen et al.17 (2007) |
| Probability of developing ovarian cancer in | 0.04 | 0.03-0.05 | Rebbeck et al.20 (2009); Chen et al.17 (2007) |
Cost estimates used in the decision model.
| Description | Cost |
|---|---|
| Genetic counseling consultations | R$200.00 |
| Next generation sequencing and evaluation for large genomic rearrangements | R$683.61 |
| Bilateral prophylactic mastectomy | R$3,158.04 |
| Risk-reducing salpingo-oophorectomy | R$542.46 |
| Breast magnetic resonance imaging and bilateral mammography, in the presence of BRCA1/2 germline mutation and refusal to mastectomy (annual cost) | R$333.75 |
| Breast magnetic resonance imaging and bilateral mammography, in the presence of risk algorithm . 10% (annual cost) | R$80.10 |
Figure 2Tornado Diagram related to incremental cost-effectiveness ratio.
Costs of ovarian cancer treatment by year.
| Year | Mean cost | 95%CI |
|---|---|---|
| 1st | R$12,958.48 | R$11,504.42-R$14,412.54 |
| 2nd | R$3,960.10 | R$2,783.99-R$5,136.22 |
| 3rd | R$4,860.90 | R$3,597.02-R$6,124.78 |
| 4th | R$4,167.97 | R$2,934.69-R$5,401.24 |
| 5th | R$3,508.02 | R$1,993.53-R$5,022.51 |