Finding the optimal mammography screening strategy: a cost‐effectiveness analysis of 920 modelled strategies

From Screening to Mortality Reduction: An Overview of Empirical Data on the Patient Journey in European Randomized Study of Screening for Prostate Cancer Rotterdam After 21 Years of Follow-up and a Reflection on Quality of Life

BACKGROUND

Previous research quantified the effect of prostate-specific antigen (PSA)-based prostate cancer (PCa) screening on quality-adjusted life years using 11-yr follow-up data from the European Randomized Study of Screening for Prostate Cancer (ERSPC) extrapolated by the Microsimulation Screening Analysis (MISCAN). ERSPC data now matured to 21 yr of follow-up.

OBJECTIVE

To provide an overview of the effect of PSA-based screening on tumour characteristics and PCa treatment using long-term, detailed, empirical ERSPC data.

DESIGN, SETTING, AND PARTICIPANTS

Men were included from the ERSPC Rotterdam who were randomised to a PSA-based screening (S) or control (C) arm.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

We assessed the effects of PSA-based screening on the number of PCa diagnoses, tumour characteristics, treatments, and cumulative incidence of disease progression. We also evaluated the changes in tumour characteristics and treatments over time for both study arms.

RESULTS AND LIMITATIONS

Among PCa patients in the S-arm, fewer patients were diagnosed with advanced tumour stages (T3/T4: 12% vs 23%; relative risk [RR] = 0.50; 95% confidence interval [CI] 0.44-0.57), less disease progression was observed, and less secondary treatment (30% vs 48%; RR = 0.61; 95% CI 0.57-0.66; p < 0.001) and less palliative treatment were needed (21% vs 55%; RR = 0.38; 95% CI 0.35-0.42) than among those in the C-arm. This was at the cost of overdiagnosis and increased local treatments (eg, radical prostatectomy: 32% vs 14%; RR = 2.18; 95% CI 1.92-2.48). Over time, the number of local treatments decreased, whereas expectant management strategies increased. The RRs of treatments were slightly different from those of the MISCAN.

CONCLUSIONS

After 21 yr of follow-up, empirical data of the ERSPC showed that PSA-based screening reduces advanced PCa stages, disease progression, and extensive treatments at the cost of more overdiagnosis and probably more overtreatment. Our data showed reduced local treatments and increased expectant management strategies over time.

PATIENT SUMMARY

Prostate-specific antigen-based screening reduces the number of invasive prostate cancer treatments needed, however, at the cost of more overdiagnosis and probably more overtreatment. Limiting these costs remains crucial to benefit optimally from prostate cancer screening.

Impact of different age ranges on the benefits and harms of the breast cancer screening programme by the EU-TOPIA tool

BACKGROUND

The recommendation for the implementation of mammography screening in women aged 45-49 and 70-74 is conditional with moderate certainty of the evidence. The aim of this study is to simulate the long-term outcomes (2020-50) of using different age range scenarios in the breast cancer screening programme of the Valencia Region (Spain), considering different programme participation rates.

METHODS

Three age range scenarios (S) were simulated with the EU-TOPIA tool, considering a biennial screening interval: S1, 45-69 years old (y); S2, 50-69 y and S3, 45-74 y. Simulations were performed for four participation rates: A = current participation (72.7%), B = +5%, C = +10% and D = +20%. Considered benefits: number (N°) of in situ and invasive breast cancers (BC) (screen vs. clinically detected), N° of BC deaths and % BC mortality reduction. Considered harms: N° of false positives (FP) and % overdiagnosis.

RESULTS

The results showed that BC mortality decreased in all scenarios, being higher in S3A (32.2%) than S1A (30.6%) and S2A (27.9%). Harms decreased in S2A vs. S1A (N° FP: 236 vs. 423, overdiagnosis: 4.9% vs. 5.0%) but also benefits (BC mortality reduction: 27.9% vs. 30.6%, N° screen-detected invasive BC 15/28 vs. 18/25). In S3A vs. S1A, an increase in benefits was observed (BC mortality reduction: 32.2% vs. 30.6%), N° screen-detected in situ B: 5/2 vs. 4/3), but also in harms (N° FP: 460 vs. 423, overdiagnosis: 5.8% vs. 5.0%). Similar trends were observed with increased participation.

CONCLUSIONS

As the age range increases, so does not only the reduction in BC mortality, but also the probability of FP and overdiagnosis.

Health utility values of breast cancer treatments and the impact of varying quality of life assumptions on cost-effectiveness

In breast cancer research, utility assumptions are outdated and inconsistent which may affect the results of quality adjusted life year (QALY) calculations and thereby cost-effectiveness analyses (CEAs). Four hundred sixty four female patients with breast cancer treated at Erasmus MC, the Netherlands, completed EQ-5D-5L questionnaires from diagnosis throughout their treatment. Average utilities were calculated stratified by age and treatment. These utilities were applied in CEAs analysing 920 breast cancer screening policies differing in eligible ages and screening interval simulated by the MISCAN-Breast microsimulation model, using a willingness-to-pay threshold of €20,000. The CEAs included varying sets on normative, breast cancer treatment and screening and follow-up utilities. Efficiency frontiers were compared to assess the impact of the utility sets. The calculated average patient utilities were reduced at breast cancer diagnosis and 6 months after surgery and increased toward normative utilities 12 months after surgery. When using normative utility values of 1 in CEAs, QALYs were overestimated compared to using average gender and age-specific values. Only small differences in QALYs gained were seen when varying treatment utilities in CEAs. The CEAs varying screening and follow-up utilities showed only small changes in QALYs gained and the efficiency frontier. Throughout all variations in utility sets, the optimal strategy remained robust; biennial for ages 40-76 years and occasionally biennial 40-74 years. In sum, we recommend to use gender and age stratified normative utilities in CEAs, and patient-based breast cancer utilities stratified by age and treatment or disease stage. Furthermore, despite varying utilities, the optimal screening scenario seems very robust.

Health benefits and harms of mammography screening in older women (75+ years)-a systematic review

BACKGROUND

There is little evidence on the balance between potential benefits and harms of mammography screening in women 75 years and older. The aim of this systematic review was to synthesise the evidence on the outcomes of mammography screening in women aged 75 years and older.

METHODS

A systematic review of mammography screening studies in women aged 75 years and over.

RESULTS

Thirty-six studies were included in this review: 27 observational studies and 9 modelling studies. Many of the included studies used no or uninformative comparison groups resulting in a potential bias towards the benefits of screening. Despite this, there was mixed evidence about the benefits and harms of continuing mammography screening beyond the age of 75 years. Some studies showed a beneficial effect on breast cancer mortality, and other studies showed no effect on mortality. Some studies showed some harms (false positive tests and recalls) being comparable to those in younger age-groups, with other studies showing increase in false positive screens and biopsies in older age-group. Although reported in fewer studies, there was consistent evidence of increased overdiagnosis in older age-groups.

CONCLUSION

There is limited evidence available to make a recommendation for/against continuing breast screening beyond the age of 75 years. Future studies should use more informative comparisons and should estimate overdiagnosis given potentially substantial harm in this age-group due to competing causes of death. This review was prospectively registered with PROSPERO (CRD42020203131).

Breast Cancer Screening in Georgia: Choosing the Most Optimal and Cost-Effective Strategy

OBJECTIVES

To define the optimal and cost-effective breast cancer screening strategy for Georgia.

METHODS

We used the Microsimulation Screening Analysis-Breast (MISCAN-Breast) model that has been adapted to the Georgian situation to evaluate 736 mammography screening strategies varied by interval (biennial and triennial), starting ages (40-60 years), stopping ages (64-84 years), and screening modality (with and without clinical breast examination [CBE]). Quality-adjusted life-years (QALYs) and additional cost (healthcare perspective) compared with no screening per 1000 women were calculated with 3% discount. Major uncertainties (eg, costs) are addressed as sensitivity analyses.

RESULTS

Strategies using a combination of mammography and CBE yielded in substantially higher costs with minimal differences in outcomes compared with mammography-only strategies. The current screening strategy, biennial mammography screening from the age of 40 until 70 years with CBE, is close to the frontier line but requires high additional cost given the QALY gains (€16 218/QALY), well above the willingness-to-pay threshold of €12 720. The optimal strategy in Georgia would be triennial mammography-only screening from age 45 to 66 years with an incremental cost-effectiveness ratio of €12 507.

CONCLUSIONS

Biennial screening strategies are resource-intensive strategies and may not be feasible for Georgia. By switching to triennial mammography-only strategy from the age of 45 until 66 years, it is possible to offer screening to more eligible women while still gaining substantial screening benefits. This is to address capacity issues which is a common barrier for many Eastern European countries.

Cost-effectiveness requirements for implementing artificial intelligence technology in the Women's UK Breast Cancer Screening service

The UK NHS Women's National Breast Screening programme aims to detect breast cancer early. The reference standard approach requires mammograms to be independently double-read by qualified radiology staff. If two readers disagree, arbitration by an independent reader is undertaken. Whilst this process maximises accuracy and minimises recall rates, the procedure is labour-intensive, adding pressure to a system currently facing a workforce crisis. Artificial intelligence technology offers an alternative to human readers. While artificial intelligence has been shown to be non-inferior versus human second readers, the minimum requirements needed (effectiveness, set-up costs, maintenance, etc) for such technology to be cost-effective in the NHS have not been evaluated. We developed a simulation model replicating NHS screening services to evaluate the potential value of the technology. Our results indicate that if non-inferiority is maintained, the use of artificial intelligence technology as a second reader is a viable and potentially cost-effective use of NHS resources.

Expanding mammography screening for women aged 40-80 years: evidence from a modeling approach using real-world data

If a mammography screening program (MS) is to be expanded, the benefit must be demonstrated for each additional age cohort. For the age interval between 40 and 80 years, the association between tumor-related and tumor-independent mortality of 21 2-year cohorts is modeled using up-to-date, valid data to determine MS outcome. Disease trajectories with and without biennial MS are extrapolated for each age cohort using the available data and knowledge on MS. The competing mortality is randomly generated for each age cohort with and without MS for a follow-up period of 20 years. Analyses of the modeled cohorts describe incremental change for each year, quantifying the changing benefits of MS. With increasing age, the proportion of tumor-independent mortality before and with metastatic disease increases and the benefit decreases. The simulations with 21 studies on the age interval 40-80 years provide four parameters to determine the benefits and costs of MS: The number of prevented deaths, required mammography screening exams (MSE) and their costs, life-years gained, and the required MSEs. If one additional MSE is offered for age groups 48/70 years, this will result in 311/320 prevented breast cancer (BC) deaths with 1742/1494 required MSEs or 8784/4168 life-years gained with 64/140 required MSEs. A rational cutoff cannot be quantified. The mortality effect of MS between 40 and 80 years is quantified in 21 steps using two metrics, number of MSEs per tumor-related mortality prevented and per life-year gained. This provides a decision support for stepwise expansions. Given this real-world evidence no rational age cutoffs for MS becomes evident. A society has to decide which MS costs, including side effects of MS for women who remain BC-free, it is willing and able to accept in order to reduce breast cancer mortality.

Overcoming barriers: Modelling the effect of potential future changes of organized breast cancer screening in Italy

OBJECTIVES

Organized breast cancer screening may not achieve its full potential due to organizational and cultural barriers. In Italy, two identified barriers were low attendance in Southern Italy and, in Italy as a whole, underscreening and overscreening in parts of the eligible population. The objective of this study was to identify potential changes to overcome these barriers and to quantify their costs and effects.

METHODS

To assess the impact of potential measures to improve breast cancer screening in Italy, we performed an evaluation of costs and effects for increasing adherence for Southern Italy and harmonizing screening intervals (biennial screening) for the whole of Italy, using an online tool (EU-TOPIA evaluation tool) based on the MIcrosimulation SCreening ANalysis (MISCAN) model.

RESULTS

Increasing adherence in Southern Italy through investing in mobile screening units has an acceptable cost-effectiveness ratio of €9531 per quality-adjusted life year gained. Harmonizing the screening interval by investing in measures to reduce opportunistic screening and simultaneously investing in mobile screening units to reduce underscreening is predicted to gain 1% fewer life-years, while saving 19% of total screening costs compared to the current situation.

CONCLUSIONS

Increasing adherence in Southern Italy and harmonizing the screening interval could result in substantial improvements at acceptable costs, or in the same benefits at lower costs. This example illustrates a systematic approach that can be easily applied to other European countries, as the online tools can be used by stakeholders to quantify effects and costs of a broad range of specific barriers, and ways to overcome them.

Flexible transition probability model for assessing cost-effectiveness of breast cancer screening extension to include women aged 45-49 and 70-74

Breast cancer is the most common cancer among Western women. Fortunately, organized screening has reduced breast cancer mortality. New recommendation by the European Union suggests extending screening with mammography from 50-69-year-old women to 45-74-year-old women. However, before extending screening to new age groups, it's essential to carefully consider the benefits and costs locally as circumstances vary between different regions and/or countries. We propose a new approach to assess cost-effectiveness of breast cancer screening for a long-ongoing program with incomplete historical screening data. The new model is called flexible stage distribution model. It is based on estimating the breast cancer incidence and stage distributions of breast cancer cases under different screening strategies. The model parameters, for each considered age group, include incidence rates under screening/non-screening, probability distribution among different stages, survival by stages, and treatment costs. Out of these parameters, we use the available data to estimate survival rates and treatment costs, while the modelling is done for incidence rates and stage distributions under screening policies for which the data is not available. In the model, an ongoing screening strategy may be used as a baseline and other screening strategies may be incorporated by changes in the incidence rates. The model is flexible, as it enables to apply different approaches for estimating the altered stage distributions. We apply the proposed flexible stage distribution model for assessing incremental cost of extending the current biennial breast cancer screening to younger and older target ages in Finland.