ArticleClinical transplantation2019
Transplant community perceptions of the benefits and drawbacks of alternative quality metrics for regulation.
Article in Clinical transplantation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 3 citations in OpenAlex.
- A Conceptual Model for Sources of Differential Selection in Lung Transplant Allocation.Annals of the American Thoracic Society · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThere is concern that the metrics currently used to regulate transplant centers, one-year patient and graft survival, may have adverse consequences including decreasing higher risk donor organ acceptance and transplant volume. This raises questions about whether alternative measures would be more appropriate.
methodsWe surveyed American Society of Transplant Surgeons (ASTS) and American Society of Transplantation (AST) members (n = 270) to characterize perceptions of several metrics that are used for regulation, are publicly reported, or have been suggested elsewhere, regarding their effectiveness, amenability to risk adjustment, and predicted effects on volume, mortality, and waitlist size.
resultsRespondents rated one-year patient and graft survival the most effective measure of quality of care (mean scores = 7.44, 7.31, respectively, out of 10) and most amenable to risk adjustment (mean scores = 6.26, 6.13, respectively). Most respondents believed alternative metrics would not impact their center's volume, waitlist size, or one-year transplant mortality. However, some did predict unintended consequences; for example, some believed using one-year waitlist mortality, one-year mortality of patients listed, or one-year mortality of patients referred for transplant would decrease the number of transplants performed (48.6%, 46.7%, and 48.3% of respondents, respectively). DISCUSSION: Despite previously published concerns with existing regulatory metrics, most participants did not believe any metrics would outperform one-year patient and graft survival.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.