Cost–effectiveness of left ventricular-assist devices in end-stage heart failure
Bibliographic record
Abstract
With a limited supply of donor hearts, individuals with end-stage heart failure have been offered hope through the use of mechanical devices. Left ventricular-assist devices (LVADs) are a technology designed to work in parallel with the heart but have yet to see widespread use since uncertainty remains as to the cost-effectiveness of this evolving new technology. We have systematically reviewed evidence of cost-effectiveness for LVADs in the bridge-to-transplant and long-term chronic support indications. A total of 18 studies reporting costs were identified. Of these, only four studies reported results in cost-effectiveness terms; two in cost per life-year saved and two in cost per quality-adjusted life-year (QALY). The majority of the other studies were simple cost summations (cost per day or incremental cost) without consideration of efficacy. In the bridge-to-transplant indication, a Danish abstract reported a cost per life-year saved of DKK270k (US$48,000), a UK study reported a cost per QALY of GB pound39,787 (US$78,000) and a Canadian study reported a cost per life-year saved of Can$91,332 (US$86,000). Regarding the long-term chronic support indication, the same Canadian study reported a cost per life-year saved of Can$59,842 (US$56,000), whereas a US study reported a cost per QALY of $36,255-60,057. Assuming a willingness to pay the threshold of GB pound30,000 (US$59,000) per QALY, there is arguably stronger evidence to support the cost-effectiveness of LVAD technology for the long-term chronic support indication. However, the methodological quality of the majority of studies was poor, as was their generalizability, raising concerns over the reliability of these figures. With the limited and declining availability of donor hearts for transplantation, it appears that the future of this technology is in its use as long-term chronic support. Further analyses should be undertaken, particularly alongside randomized, controlled trials and utilizing second- and third-generation devices.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.007 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".