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Record W1968286841 · doi:10.1159/000187566

Effect of High-Flux Hemodialysis on Cardiac Structure and Function among Patients with End-Stage Renal Failure

2008· article· en· W1968286841 on OpenAlexaff
David Churchill, Wayne Taylor, Charles W.E. Tomlinson, Mary Louise Beecroft, Joanne Gorman, Eric Stanton

Bibliographic record

Venue˜The œNephron journals/Nephron journals · 2008
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsSt. Joseph’s Healthcare HamiltonMcMaster UniversitySt. Joseph's Hospital
Fundersnot available
KeywordsHemodialysisMedicineUltrafiltration (renal)Flux (metallurgy)DialysisInternal medicineCardiac function curveCardiologyBicarbonateUrologyBeta-2 microglobulinHeart failureChromatographyChemistryMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

The effect of high flux hemodialysis on left ventricular function in ESRD patients was evaluated in a double blind, single cross-over, study comparing conventional to high flux hemodialysis. The subjects were 21 stable chronic hemodialysis patients. Ten were randomly allocated to the conventional-high flux sequence and 11 to the reverse sequence. The conventional membrane was the CD 3,500 or 4,000; the high flux membrane was the Duoflux (Althin Medical Inc., Miami Lakes, Fla.). Both were cellulose acetate and both were sterilized with ethylene oxide. The dialysate bicarbonate and sodium were held constant for the study. The ultrafiltration rates were 3.5-5.0 ml/h/mm Hg transmembrane pressure for the conventional and 15 ml/h/mm for the high flux membrane. The beta-2-microglobulin sieving coefficient was 0 for conventional and 0.27 for the high-flux membrane. The modest improvements in estimates of systolic function suggest a cardiac advantage in high-flux dialysis, the clinical impact of which requires further study.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.224
Teacher spread0.218 · 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.

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

Citations19
Published2008
Admission routes1
Has abstractyes

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Same venue˜The œNephron journals/Nephron journalsSame topicDialysis and Renal Disease ManagementFrench-language works237,207