Evidence map›Paper›PMID 40844834›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2026

Cost-effectiveness of lifelong eculizumab versus disease monitoring of aHUS.

Giovany Orozco-Leal, Luke Vale, Yemi Oluboyede, Victoria Brocklebank, Andy Bryant, Tom Chadwick, Sarah Dunn, Sally Johnson, David Kavanagh, Ciara Kennedy and 5 more

Abstract readComparative Study
In one paragraph

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Giovany Orozco-LealPopulation and Health Sciences Institute, Newcastle University Newcastle upon Tyne, UK.ORCID 0000-0002-7473-7318
Luke ValePopulation and Health Sciences Institute, Newcastle University Newcastle upon Tyne, UK.
Yemi OluboyedePutnam Associates LLC, Newcastle upon Tyne, UK.
Victoria BrocklebankPopulation and Health Sciences Institute, Newcastle University Newcastle upon Tyne, UK.
Andy BryantPopulation and Health Sciences Institute, Newcastle University Newcastle upon Tyne, UK.
Tom ChadwickPopulation and Health Sciences Institute, Newcastle University Newcastle upon Tyne, UK.
Sarah DunnPopulation and Health Sciences Institute, Newcastle University Newcastle upon Tyne, UK.
Sally JohnsonTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
David KavanaghPopulation and Health Sciences Institute, Newcastle University Newcastle upon Tyne, UK.
Ciara KennedyPopulation and Health Sciences Institute, Newcastle University Newcastle upon Tyne, UK.
Jan LecouturierMiddlesbrough Council, Middlesbrough, UK.
Chris WeetmanPopulation and Health Sciences Institute, Newcastle University Newcastle upon Tyne, UK.
Edwin WongTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Len WoodwardTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Neil S SheerinTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.

Funding

Health Technology Assessment Programme 15/130/94National Institute for Health and Care Research
6 · The paper itself

Abstract

backgroundAtypical haemolytic uraemic syndrome (aHUS) is a rare but severe condition caused by complement dysregulation. Eculizumab prophylaxis prevents recurrence and improves survival, yet the benefits of lifelong treatment for patients are uncertain and the long-term costs for health services are substantial. This economic evaluation applied the results from the Stopping Eculizumab Treatment Safely in aHUS (SETS aHUS) trial and assessed the cost-effectiveness of replacing lifelong eculizumab with a disease monitoring strategy over the long term.

methodsA Markov model was used to estimate cost and quality-adjusted life years (QALYs) for a treatment withdrawal and disease monitoring strategy over the long term. Results from the SETS aHUS trial informed the risk of relapse diagnosis or progression, utility values and additional healthcare use. Time to relapse diagnosis was extrapolated using parametric survival functions.

resultsThe treatment withdrawal and disease monitoring strategy increased average patient QALYs by 0.08 [95% credible interval (CrI) -0.33-0.53], and reduced patient costs by £4 234 196 (95% CrI -£684 495 to -£6 403 694) compared with the lifelong delivery of eculizumab. The impact on survival estimates was low, as withdrawal patients had an average reduction of 0.0005 patient life years (LYs) (95% CrI -0.0029-0) over an 80-year time horizon. Withdrawal and monitoring had a 64% likelihood of being more effective and less costly than lifelong treatment. Results remained robust across multiple scenarios exploring uncertainties.

conclusionTreatment withdrawal and disease monitoring was cost-effective compared with lifelong eculizumab therapy. Its adoption is expected to substantially reduce costs per patient and may improve average patient quality of life.

Indexed as

Antibodies, Monoclonal, HumanizedAtypical Hemolytic Uremic SyndromeComplement Inactivating AgentsCost-Benefit AnalysisFemaleFollow-Up StudiesHumansMaleMarkov ChainsPrognosisQuality-Adjusted Life YearsAntibodies, Monoclonal, HumanizedComplement Inactivating Agentseculizumabatypical haemolytic uraemic syndromechronic kidney diseasecost-effectiveness analysiseconomic evaluationkidney transplant

Identifiers

PMID40844834
PMCPMC12855600

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Registered trials

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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.