Evidence map›Paper›PMID 42665796›Full record

ArticleBMC nephrology2026

Study protocol for a target trial emulation: CHoosing the right diAlysis Modality in clinical PractIce: hemOdiafiltratioN or hemodialysis (CHAMPION).

Sanne Roos, John Larkin, Linda H Ficociello, Len A Usvyat, Yue Jiao, Luca Neri, Vivi Zhou, Menno Brandjes, Peter J Blankestijn, Michiel L Bots and 4 more

Abstract read
In one paragraph

Article in BMC nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Sanne RoosDepartment of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands. s.roos-6@umcutrecht.nl.ORCID http://orcid.org/0009-0004-7225-8542
John LarkinRenal Research Institute, New York, NY, USA.
Linda H FicocielloRenal Research Institute, New York, NY, USA.
Len A UsvyatRenal Research Institute, New York, NY, USA.
Yue JiaoRenal Research Institute, New York, NY, USA.
Luca NeriRenal Research Institute, New York, NY, USA.
Vivi ZhouOrtec Logiqcare B.V., Zoetermeer, The Netherlands.
Menno BrandjesOrtec Logiqcare B.V., Zoetermeer, The Netherlands.
Peter J BlankestijnDepartment of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.
Michiel L BotsJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Saskia HaitjemaCentral Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Marianne C VerhaarDepartment of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.
Roemer J Janse *Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.
Robin W M Vernooij *Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.

Funding

Health∼Holland, Top Sector Life Sciences & Health 2024TKI2421
6 · The paper itself

Abstract

backgroundRandomized studies have demonstrated that high-volume hemodiafiltration results in reduced mortality compared to conventional hemodialysis treatment. However, eligibility criteria in these trials may limit generalizability to routine clinical practice. Some of these trials reported a limited number of events, underscoring the need to further evaluate the effect of hemodiafiltration on mortality. We will conduct a target trial emulation study using data from routine clinical practice. The primary aim of this study is to evaluate whether high-volume hemodiafiltration reduces all-cause mortality. The secondary aim is to assess cause-specific mortality. Other aims include assessing all-cause and cause-specific hospitalizations, as well as cumulative length of hospital stay and the dose-response relationship between convection volume in hemodiafiltration and the outcomes.

methodsData will be obtained from the second version of ApolloDialDb (Apollo), an anonymized dialysis dataset capturing over 1000 variables from patients from all over the world. For this study, we will include adult patients from European countries with kidney failure who initiated with at least one treatment of high-flux hemodialysis or hemodiafiltration between 01 January 2018 and 30 June 2024, and who were prescribed a thrice-weekly dialysis schedule at the start. Patients starting with home dialysis will be excluded. We will use a target trial emulation approach with a clone-censor-weight design and marginal structural models, controlling for selection bias, survivor bias, and competing risk bias. Sub-analyses will be performed to investigate the effect of high-volume hemodiafiltration (≥ 23 L of convection volume). Inverse probability weighting will be applied to adjust for predefined confounders including sociodemographic, clinical, and anthropometric factors, as well as comorbidities to achieve balance between treatment groups. DISCUSSION: In addition to randomized studies, prior large observational studies have indicated a survival benefit for hemodiafiltration, as well as a possible reduction of hospitalizations. The target trial emulation study outlined in this protocol will expand this knowledge and provide generalizable insights on the effects of hemodiafiltration on outcomes by using real-world data representative of routine clinical practice while appropriately addressing sources of bias.

Indexed as

HemodiafiltrationKidney Failure, ChronicRenal DialysisHospitalizationHumansHemodiafiltrationHemodialysisHospitalizationsMortalityTarget trial emulation

Identifiers

PMID42665796
PMCPMC13525684

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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.