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Record W4415042833 · doi:10.1016/j.xkme.2025.101134

Impact of Expanded Hemodialysis on Subjective Experience Using Dynamic Patient-Reported Outcome Measurement Tool

2025· article· en· W4415042833 on OpenAlexaffabout
Jarrin D. Penny, Dariuz Gozdzik, Tanya Tamasi, Justin Dorie, Kathy Koyle, Zabrina Bailey Lozon, Gihad Nesrallah, Christopher W. McIntyre

Bibliographic record

VenueKidney Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsHumber River Regional HospitalLondon Health Sciences CentreLawson Health Research InstituteWestern University
Fundersnot available
KeywordsPromOutcome (game theory)HemodialysisPatient-reported outcomeQuality of life (healthcare)MEDLINE

Abstract

fetched live from OpenAlex

Rationale & Objectives: Current hemodialysis (HD), using conventional high-flux dialyzers, is handicapped by clearance limitations, contributing to poor health-related quality of life (HRQoL) and symptom burden. Recent international consensus guideline-setting efforts have prioritized the identification and management of symptoms and subjective experience, while acknowledging the lack of appropriate tools available to fully appreciate and continuously monitor symptoms. Study Design: Multicenter interventional trial. Setting & Participants: Forty-seven patients undergoing established, conventional, thrice weekly HD in 2 centers in Ontario, Canada. Interventions: Fifteen-month study with the following 5 phases: (1) 1 month observation (high-flux HD), (2) 3 months expanded hemodialysis (HDx); (3) 2 months wash-out (high-flux HD), (4) 6 months HDx, (5) 3 months wash-out (high-flux HD). HRQoL and symptom burden were evaluated using a dynamic patient-reported outcome measurement (PROM) tool throughout the study. Outcomes: This study aimed to use a dynamic PROM to interrogate patient experience and confirm HRQoL and symptom benefit of expanded hemodialysis (HDx) using a medium cutoff dialyzer. The durability of the effects of treatment and variability of symptom measures were analyzed, with the aim to further establish causality through withdrawal and reintroduction of therapy. Results: HDx therapy improved HRQoL (19% from baseline) and a variety of symptoms including general wellbeing (23%), energy (33%), sleep quality (33%), pruritus (30%), pain (19%), restless leg syndrome (15%), mood (12%), appetite (9%), breathlessness (9%), and HD recovery (26%). Response was more pronounced in those with poorer HRQoL and higher symptom burden. Improvements were durable over time with less symptom variability. Improvement diminished with return to high-flux HD. Drivers of poor HRQoL were largely general wellbeing, energy, sleep quality, pruritus, and bodily pain. Limitations: Relatively small cohort (because of pandemic restrictions) and unblinded design (partially overcome with wash-out and reintroduction). Conclusions: Use of a dynamic PROM effectively evaluated HRQoL, symptom burden, and response to treatment in HD patients. Use of HDx therapy improved clinically meaningful outcomes with durable effect and was associated with less variability in important symptom domains than conventional high-flux HD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.753

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.359
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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