ArticleTransplantation direct2026
Transplantation Improves Patient Survival in a PD-first Program in South Africa.
Article in Transplantation direct, 2026. 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.
- Bridging the Treatment Gap in Kidney Failure Through Transplantation-A Model for Africa and Beyond.Transplantation direct · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: There are limited data on kidney replacement therapy (KRT) allocation and outcomes in patients in kidney failure (KF) who access public healthcare in South Africa. Methods: This retrospective cohort study included patients referred for KRT at the time of KF diagnosis. Incident KF cases were identified between 2012 and 2020, followed from referral until death, kidney transplantation, or continued waitlisting at study end (December 31, 2023). Descriptive analyses and comparisons were performed between KRT allocation and outcomes. Time-to-event analyses employed competing risk models to estimate cumulative incidence functions, whereas Kaplan-Meier methods were applied to calculate survival probabilities. Results: Overall, 761 patients were referred with KF, of which 598 (79%) were untreated and presumed to have died. Untreated patients were either not considered at referral (n = 432), or not accepted at KRT committee meeting (n = 175) because of policy-driven factors. Of those presented to the KRT committee (n = 338), 48% (n = 163) were accepted onto the dialysis program and waitlisted for transplantation. Accepted patients were younger and had greater medical stability and socioeconomic circumstances compared with non-accepted patients. Only 21% (n = 34) of patients initiated on dialysis were transplanted. At 5 y post-KRT initiation, there was a greater probability of dying on the waitlist compared with receiving a transplant (cumulative incidence function 35% [95% CI, 27-42] versus 18% [95% CI, 13-25]), and post-transplantation survival was significantly greater than pre-transplant survival (100% versus 61% [95% CI, 53-69]). Conclusions: Our study findings align with the challenges of providing dialysis and transplantation in a lower- to middle-income setting where patients were most often precluded from KRT because of poorly controlled comorbidities or a lack of unit capacity. There was a clear survival advantage in patients who were transplanted over those who remained on dialysis; however, transplant services remain limited.
Identifiers
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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 Socratic graph.