| Literature DB >> 27276093 |
Azin Nahvijou1, Rajabali Daroudi2, Mamak Tahmasebi1, Farnaz Amouzegar Hashemi1, Mohsen Rezaei Hemami3, Ali Akbari Sari2, Ahmad Barati Marenani4, Kazem Zendehdel5.
Abstract
OBJECTIVE: Invasive cervical cancer (ICC) is the fourth most common cancer among women worldwide. Cervical screening programs have reduced the incidence and mortality rates of ICC. We studied the cost-effectiveness of different cervical screening strategies in the Islamic Republic of Iran, a Muslim country with a low incidence rate of ICC.Entities:
Mesh:
Year: 2016 PMID: 27276093 PMCID: PMC4898767 DOI: 10.1371/journal.pone.0156705
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Model parameters (transition probabilities, screening test characteristics, quality of life, and costs), baseline values, and references.
| Parameters | Base case | References |
|---|---|---|
| Natural History | ||
| Probability of transition of Well to HPV | Age-dependent | calibration |
| Probability of transition | [ | |
| Probability of Transition of HPV to Well 15–85 years | 0.7 | |
| Probability of Transition of HPV to LSIL 15–85 years | 0.072 | |
| Probability of Transition of HPV to HSIL | ||
| 15 years | 0.032 | |
| 85 years | 0.042 | |
| Probability of Transition of LSIL to Well | ||
| 15 years | 0.16 | |
| 85 years | 0.081 | |
| Probability of Transition of LSIL to HPV | ||
| 15 years | 0.16 | |
| 85 years | 0.082 | |
| Probability of Transition of LSIL to HSIL | ||
| 15 years | 0.017 | |
| 85 years | 0.069 | |
| Probability of Transition of HSIL to Well | 0.069 | |
| Probability of Transition of HSIL to HPV 15–85 years | 0.05 | |
| Probability of Transition of HSIL to LSIL 15–85 years | 0.069 | |
| Probability of Transition of HSIL to cancer I | ||
| 15 years | 0.01 | |
| 85 years | 0.005 | |
| Probability of detection cancer | [ | |
| Probability of detection stage I cancer | 0.15 | |
| Probability of detection stage II cancer | 0.23 | |
| Probability of detection stage III cancer | 0.6 | |
| Probability of detection stage IV cancer | 0.9 | |
| Progression Cancer I to stage II cancer | 0.437 | |
| Progression Cancer II to stage III cancer | 0.535 | |
| Progression Cancer III to stage IV cancer | 0.683 | |
| Survival | [ | |
| Survival stage I cancer | 0.86 | |
| Survival stage II cancer | 0.63 | |
| Survival stage III cancer | 0.35 | |
| Survival stage IV cancer | 0.11 | |
| Test Characteristics | ||
| Sensitivity of Pap smear | 0.66 | [ |
| Specificity of Pap smear | 0.86 | [ |
| Sensitivity of HPV DNA testing | 0.81 | [ |
| Specificity of HPV DNA testing | 095 | [ |
| Specificity of colposcopy | 1 | [ |
| Quality of Life(QALY) | ||
| Quality of life of well state | 1 | [ |
| Quality of life of LSIL state | 0.97 | [ |
| Quality of life of HSIL state | 0.93 | [ |
| Quality of life of stage I patients | 0.85 | Observational |
| Quality of life of stage II patients | 0.79 | Observational |
| Quality of life of stage III patients | 0.18 | Observational |
| Quality of life of stage IV patients | 0.14 | Observational |
| Cost(US$) | ||
| Cost of HPV DNA testing | 10 | Observational |
| Cost of Pap screening | 4 | [ |
| Cost of biopsy of cervix | 15 | [ |
| Cost of visit | 5 | [ |
| Cost of colposcopy | 13 | [ |
| Cost of conization | 372 | [ |
| Cost of stage I cancer | 2,207 | Observational |
| Cost of stage II cancer | 3,449 | Observational |
| Cost of stage III cancer | 2,485 | Observational |
| Cost of stage IV cancer | 2,864 | Observational |
| Cost of terminal care of stage I patients | 1108 | Observational |
| Cost of terminal care of stage II patients | 1732 | Observational |
| Cost of terminal care of stage III patients | 1248 | Observational |
| Cost of terminal care of stage IV patients | 1438 | Observational |
| Cost of follow-up for cancer | 497 | Observational |
Incidence, mortality, cost, effectiveness, ICER, and undiscounted ICER of 11 strategies compared with no screening strategy.
| Strategies | Incidence(No of cases) | Mortality(No of cases) | Cost($) | QALY | ICER(US $/QALY) | Undiscounted ICER |
|---|---|---|---|---|---|---|
| No screening | 1321 | 509 | 13.93 | 24.406 | 0 | 0 |
| HPV 35–10 | 940 | 363 | 42.89 | 24.409 | 8,875 | 2,472 |
| Pap smear35-10 | 591 | 229 | 45.39 | 24.409 | 9,080 | 2,589 |
| HPV 35–5 | 727 | 281 | 63.69 | 24.411 | 9,087 | 2,554 |
| Pap smear 35–5 | 779 | 300 | 66.24 | 24.411 | 9,650 | 2,747 |
| HPV 30–5 | 674 | 259 | 76.94 | 24.412 | 10,248 | 2,978 |
| HPV 30 10 | 933 | 359 | 50.20 | 24.409 | 10,695 | 3,069 |
| Pap smear 30–5 | 731 | 281 | 81.03 | 24.412 | 11,189 | 3,276 |
| Pap smear 30–10 | 974 | 375 | 53.75 | 24.409 | 11,193 | 3,261 |
| Pap smear 35–3 | 611 | 236 | 94.70 | 24.413 | 11,362 | 3,251 |
| Pap smear 30–3 | 543 | 208 | 119.30 | 24.413 | 13,342 | 3,920 |
| Pap smear 21–3 | 483 | 184 | 192.04 | 24.414 | 20,492 | 6,234 |
Fig 1Cost-effectiveness of 11 different strategies for cervical screening.
Strategies standing on the curve are dominant strategies, indicating that they cost less and had more effect. Strategies located out of the curve are dominated strategies, i.e. their costs were much higher than their effects.
The most cost-effective strategies (CES) based on different calculation methods.
The cost-effectiveness of 11 strategies were estimated with different methods. Effectiveness was measured with QALY, LYG, and undiscounted QALY.
| Calculation methods of cost-effectiveness | First CES | Second CES | Third CES | Sensitive to base case |
|---|---|---|---|---|
| Base Case | HPV 35–10 | Pap smear 35–10 | HPV 35–5 | - |
| Life years gained (LYG) | Pap smear 35–10 | Pap smear 35–5 | Pap smear 30–5 | Sensitive |
| Undiscounted QALY | HPV 35–10 | HPV 35–5 | Pap-smear 35–10 | Sensitive |
| One-way sensitivity analysis of decreasing sensitivity of HPV DNA | Pap smear 35–10 | Pap smear 35–5 | Pap-smear 30–5 | Sensitive |
| One-way sensitivity analysis of decreasing sensitivity of Pap smear | HPV 35–10 | HPV 35–5 | HPV 30–5 | Sensitive |
| One-way sensitivity analysis of decreasing specificity of HPV DNA | Pap smear 35–10 | HPV 35–10 | Pap 35–5 | Sensitive |
| One-way sensitivity analysis of decreasing specificity of Pap smear | HPV 35–10 | Pap smear 35–10 | HPV 30–10 | Sensitive |
| One-way sensitivity analysis of increasing sensitivity of HPV DNA | HPV 35–10 | HPV 35–5 | HPV 30–10 | Sensitive |
| One-way sensitivity analysis of increasing specificity of HPV DNA | HPV 35–10 | Pap smear 35–10 | HPV 35–5 | Not sensitive |
| One-way sensitivity analysis of increasing specificity of Pap smear | Pap smear 35–10 | Pap smear 35–5 | Pap smear 30–5 | Sensitive |
| One-way sensitivity analysis based on increasing the cost of HPV DNA | Pap smear 35–10 | Pap smear 35–5 | Pap smear 30–5 | Sensitive |
| One-way sensitivity analysis based on increasing the cost of Pap smear | HPV 35–10 | HPV 35–5 | HPV 30–10 | Sensitive |