ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2026
A website calculator to benchmark the carbon footprint of haemodialysis.
Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 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.
- Finding the sweet spot in green nephrology: the intersection of environmental sustainability and excellence in patient care.Clinical kidney journal · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
backgroundHaemodialysis (HD) contributes vastly to greenhouse gas (GHG) emissions. Recognizing this, the German Society for Nephrology initiated a web-based carbon footprint assessment tool to benchmark emissions.
methodsThis study collected data from five pilot HD centres between 2015 and 2023. Emission categories appropriate for HD were defined and included transportation, energy consumption, manufacturing/disposal and other operational factors.
resultsThe all-centre, all-period average was 3.72 ± 0.44 tons of carbon dioxide equivalents per patient per year, with manufacturing/disposal, energy consumption and patient transportation as the largest contributions. Over the assessment period, a reduction of 9.1% was achieved, through changes in dialysate flow (-0.16 tons/patient/year), solar power system installation (-0.21 tons/patient/year) and transition to a planetary health-adapted diet (-0.10 tons/patient/year). A best-case scenario with modelled implementation of all ready-to-use measures, including 40% of patients switching to automated peritoneal dialysis and 10% to incremental HD, projected a reduction potential of 38.7% or 1.5 tons/patient/year, substantially less than what is needed to reach net zero.
conclusionsUsing available technology, HD-related GHG emissions were reduced by 9% in the short term. Higher future reductions to meet the targets of a 50% reduction by 2030 and net zero by 2045 might necessitate enhancing prevention and transplantation efforts, technological innovation, support chain adaptations and structural changes like increased use of peritoneal dialysis.
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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.