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Record W1993572423 · doi:10.1159/000089448

Randomized Trials of Frequent Hemodialysis – Infinite Possibilities

2005· article· en· W1993572423 on OpenAlex
Rita S. Suri, Amit X. Garg

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBlood Purification · 2005
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsHemodialysisRandomized controlled trialIntensive care medicineMedicineClinical trialDialysisPopulationIntervention (counseling)Internal medicineNursingEnvironmental health

Abstract

fetched live from OpenAlex

Current understanding of the benefits of daily and nocturnal hemodialysis is limited by the designs used in previous studies which tested these therapies. There is increasing momentum to evaluate these therapies in randomized controlled trials. By establishing the efficacy, safety and delivery of daily and nocturnal hemodialysis, such trials will guide policy and funding decisions regarding the role of these therapies in the treatment of end-stage renal disease. However, in designing trials that fulfill these goals, many questions arise. What study population should be used? How should the intervention be defined? Which outcomes should be evaluated? Several methodological issues particular to trials of frequent dialysis require additional consideration. The 'ideal' trial in terms of methods must be balanced against the feasibility of implementation and budgetary constraints. Here, we explore some of these issues.

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.

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)0.004
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: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
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 head0.046
GPT teacher head0.311
Teacher spread0.265 · 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