Table 2.
Overview of data extracted data for eight health economic studies on liquid- or tissue-based tests to facilitate treatment decisions for localised prostate cancer
| Publication | Analysis | Test(s) considered | DMA | Patient population | Comparison category | Health outcome | Geographical location | Evidence approach a | Diagnostic performance evidence | Impact of test(s) on costs | Impact of test(s) on health outcome | Cost-effectiveness judgment b |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Calvert et al, 2003 [34] | CEA | DNA-Ploidy | Initial TS | Localised NOS | Test vs other | QALYs | UK | Modelling based on sensitivity and specificity | Assumption | Increase | Increase | Cost-effective |
| Zubek and Konski, 2009 [35] | CEA | ProstatePx | Adjuvant TS | Received RP | Test vs SOC | QALYs | USA | OBS with modelled impact | NA | Increase | Increase | Cost-effective |
| Reed et al, 2014 [36] | CEA | NADiA ProsVue Slope | Adjuvant TS | IR and HR of recurrence | Test vs SOC | QALYs | USA | Retrospective study with modelled impact | NA | Increase | Negligible increase | Not cost-effective |
| Roth et al, 2015 [37] | CEA | ProMark | Initial TS | LR and IR of recurrence | Test vs SOC | QALYs | USA | OBS with modelled impact | Observational validation study | Decrease | Negligible increase | Dominant |
| Albala et al, 2016 [38] | CA | OncotypeDX | Initial TS | Favourable IR or LR | Test vs SOC | NA | USA | OBS with historical cohort | NA | Decrease (LR) Increase (IR) | NA | NA |
| Health Quality Ontario, 2017 [39] | BIA | Prolaris | Initial TS | LR and IR | Test vs SOC | NA | Canada | OBS | NA | Increase | NA | NA |
| Lobo et al, 2017 [40] | CEA | Decipher | Adjuvant TS | Received RP | Test vs SOC vs other | QALYs | USA | OBS with clinical vignette study | NA | Increase | Increase | Cost-effective |
| Chang et al, 2019 [41] | CEA | OncotypeDX | Initial TS | Favourable IR or LR | Test vs SOC | QALYs | USA | OBS with historical cohort | NA | Increase | Increase | Cost-effective |
BIA = budget-impact analysis; CA = cost analysis; CEA = cost-effectiveness analysis; DMA = decision-making analysis; TS = treatment strategy; NA = not applicable; NOS = not otherwise specified; RP = radical prostatectomy; HR = high risk; IR = intermediate risk; LR = low risk; SOC = standard of care; QALYs = quality-adjusted life years; OBS = observational study; DT: decision tree, STM: state-transition model.
Impact here refers to both health and economic outcomes for CEAs and economic outcomes for CAs or BIAs.
A dominant strategy improves health outcomes at lower costs, so it is better in terms of health and economic outcomes, whereas a cost-effective strategy improves health outcomes at increased costs, but the increase in costs is considered proportionate to the improvement in health, so the improvement in health is worth the increase in costs.