Cost-effectiveness of Deceased-donor Renal Transplant Versus Dialysis to Treat End-stage Renal Disease: A Systematic Review
Bibliographic record
Abstract
Deceased-donor renal transplant (DDRT) is an expensive and potentially risky health intervention with the prospect of improved life and lower long-term costs compared with dialysis. Due to the increasing shortage of kidneys and the associated rise of transplantation costs, certain patient groups may not benefit from transplantation in a cost-effective manner compared with dialysis. The objective of this systematic review was to provide a comprehensive synthesis of evidence on the cost-effectiveness of DDRT relative to dialysis to treat adults with end-stage renal disease and patient-, donor-, and system-level factors that may modify the conclusion. A systematic search of articles was conducted on major databases including MEDLINE, Embase, Scopus, EconLit, and the Health Economic Evaluations Database. Eligible articles were restricted to those published in 2001 or thereafter. Two reviewers independently assessed the suitability of studies and excluded studies that focused on recipients with age <18 years old and those of a living-donor or multiorgan transplant. We show that while DDRT is generally a cost-effective treatment relative to dialysis at conventional willingness-to-pay thresholds, a range of drivers including older patient age, comorbidity, and long wait times significantly reduce the benefit of DDRT while escalating healthcare costs. These findings suggest that the performance of DDRT on older patients with comorbidities should be carefully evaluated to avoid adverse results as evidence suggests that it is not cost-effective. Delayed transplantation may reduce the economic benefits of transplant which necessitates targeted policies that aim to shorten wait times. More recent findings have demonstrated that transplantation using high-risk donors may be a cost-effective and promising alternative to dialysis in the face of a lack of organ availability and fiscal constraints. This review highlights key concepts of health economic evaluations and the relevance of cost-effectiveness to inform care and decision-making in renal programs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.011 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".