Extrapolation methods are commonly used to model the cost-effectiveness of health technologies beyond observed data. Reassessing cost-effectiveness estimates using updated clinical trial data has the potential to reduce uncertainty and optimize decision-making. We present a case study based on percutaneous repair (PR) with the Mitraclip system, a technology to treat severe secondary mitral regurgitation (MR). For the study purpose, we considered the COAPT trial that evaluated the effectiveness of adding PR to medical treatment versus medical treatment alone.

We developed a time-varying Markov model to assess the cost-effectiveness of PR. Clinical inputs were based on reconstructed individual patient data from the COAPT trial results reported at 2 years, and at 3 years.

We developed parametric modeling for overall survival (OS) and heart failure hospitalizations (HFH) to obtain clinically plausible extrapolations beyond observed data. We adopted the French perspective and used a 30-year time horizon. We expressed incremental cost-effectiveness ratios (ICERs) as cost per quality-adjusted life year (QALY).

Based on 2 year-data, preferred parametric models for OS and HFH were exponential and log-logistic respectively, yielding an ICER of EUR21,918/QALY and >0.5 probability of PR being cost-effective (EUR50,000/QALY threshold).

Updated analyses at 3 years showed a change of OS trajectory for PR that justified the use of piecewise modelling, yielding an updated ICER that went up to EUR77,904/QALY (base-case), and to a minimum of EUR58,175/QALY (scenario analysis). Using data at 3 years, PR had <0.5 probability of being cost-effective.

In this case study, the availability of updated survival analyses of the main trial is likely to have some impact on decision-making and/or pricing discussion as part of health-technology assessment (HTA). We aim to provide further updated analyses as 4 years results of the COAPT study become available.

More broadly, original technology appraisals are frequently undertaken when mid/long-term follow-up trial data may be lacking. Our example suggests the need for continuous HTA review as new clinical data are released.

Cardiac surgery has seen substantial scientific progress over recent decades. Health economic evaluations have become important tools for decision makers to prioritize scarce health resources. The present study aimed to identify and critically appraise the reporting quality of health economic evaluations conducted in the field of cardiac surgery.

A literature search was performed to identify health economic evaluations in cardiac surgery. The consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement was used to assess the quality of reporting of studies.

A total 4,705 articles published between 1981 and 2016 were identified; sixty-nine studies fulfilled the inclusion criteria. There was a trend toward a greater number of publications and reporting quality over time. Six (8.7 percent) studies were conducted between 1981 and 1990, nine (13 percent) between 1991 and 2000, twenty-four (34.8 percent) between 2001 and 2010, and thirty (43.5 percent) after 2011. The mean CHEERS score of all articles was 16.7/24; for those published between 1980 and 1990 the mean (SD) score was 10.2 (±1.4), for those published between 1991 and 2000 it was 11.2 (±2.4), between 2001 and 2010 it was 15.3 (±4.8), and after 2011 it was 19.9 (±2.9). The quality of reporting was still insufficient for several studies after 2000, especially concerning items “characterizing heterogeneity,” “assumptions,” and “choice of model.”

The present study suggests that, even if the quantity and the quality of health economics evaluation in cardiac surgery has increased, there remains a need for improvement in several reporting criteria to ensure greater transparency.