Evidence map›Paper›PMID 42620262›Full record

ArticleKidney medicine2026

Lower- Versus Conventional-Sodium Dialysate and Left Ventricular Mass in Patients Receiving Hemodialysis: Causal Analyses of a Randomized Clinical Trial.

Mark R Marshall, Alain C Vandal, Christopher T Chan, Janak R de Zoysa, Ruvin S Gabriel, Imad A Haloob, Christopher J Hood, Philip J Matheson, David O R McGregor, Kannaiyan S Rabindranath and 5 more

Abstract read
In one paragraph

Article in Kidney medicine, 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

15 authors.

Mark R MarshallRenal Service, Health NZ Waitematā, Auckland, New Zealand.
Alain C VandalDepartment of Statistics, Faculty of Science, University of Auckland, Auckland, New Zealand.
Christopher T ChanDivision of Nephrology, University Health Network, Toronto, ON, Canada.
Janak R de ZoysaRenal Service, Health NZ Waitematā, Auckland, New Zealand.
Ruvin S GabrielDepartment of Cardiology, Middlemore Hospital, Counties Manukau Health, Auckland, New Zealand.
Imad A HaloobDepartment of Renal Medicine, Bathurst Base Hospital, New South Wales, Australia.
Christopher J HoodDepartment of Renal Medicine, Middlemore Hospital, Counties Manukau Health, Auckland, New Zealand.
Philip J MathesonDepartment of Nephrology, Wellington Regional Hospital, Health NZ Capital, Coast and Hutt Valley, Wellington, New Zealand.
David O R McGregorDepartment of Nephrology, Christchurch Hospital, Health NZ Waitaha Canterbury, Christchurch, New Zealand.
Kannaiyan S RabindranathDepartment of Nephrology, Waikato Hospital, Health NZ Waikato, Hamilton, New Zealand.
John B W SchollumNephrology Service, Dunedin Hospital, Health NZ Southern, Dunedin, New Zealand.
David J SempleDepartment of Renal Medicine, Auckland City Hospital, Te Toka Tumai, Auckland, New Zealand.
Zhengxiu XieNutrition and Dietetics, Middlemore Hospital, Counties Manukau Health, Auckland, New Zealand.
Tian M MaPlanning, Funding and Outcomes, Health New Zealand/Te Whatu Ora, Wellington, New Zealand.
Joanna L DunlopDepartment of Renal Medicine, Middlemore Hospital, Counties Manukau Health, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale & Objective: In a recent trial, allocation to lower dialysate [Na Study Design: We defined a causal pathway between allocation and LVMI, quantifying effects between physiological variables within the model. Setting & Participants: Home and self-care satellite hemodialysis patients. Exposure: Allocation to lower dialysate [Na Outcome: LVMI. Analytic Approach: We used structural equations for path analysis to estimate simultaneous effects of the main exposure on intermediary outcomes and intermediary outcomes on the main outcome. Results: The following latent constructs were identified as intermediary outcomes: "Fluid Volume" (indicated by N-terminal proBNP and BNP levels, overhydration index from bioimpedance analysis, and left ventricular end-diastolic volume from cardiac magnetic resonance imaging); "Dialytic BP" (indicated by pre-/postdialysis blood pressure [BP] measurements), "Interdialytic BP" (indicated by home/ambulatory BP measurements), antihypertensive dose, and IDWG. In the structural model, fluid volume had a large effect on LVMI (standardized path coefficient, 0.51; 95% CI, 0.35-0.67), and smaller ones on Dialytic BP and Interdialytic BP (respectively: 0.31; 95% CI, 0.15-0.47 and 0.22; 95% CI, 0.02-0.41). Dialytic BP and Interdialytic BP had small-to-medium-sized effects on LVMI (respectively: 0.23; 95% CI, 0.04-0.42 and 0.22; 95% CI, 0.07-0.37). Neither IDWG nor antihypertensive dose affected LVMI. Allocation to lower dialysate [Na Limitations: Allocation rather than the intervention itself; residual confounding from unrecorded intermediary outcomes. Conclusions: Allocation to lower dialysate [Na

Indexed as

Causal modelingfluid overloadhemodialysishypertensionleft ventricular hypertrophysodium

Identifiers

PMID42620262
PMCPMC13485629

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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.