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Home hemodialysis in Australia: Current perspective

2008· review· en· W2133103135 on OpenAlexvenueno aff
Peter G. Kerr, Kevan R. Polkinghorne, Stephen McDonald

Bibliographic record

VenueHemodialysis International · 2008
Typereview
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsHome hemodialysisMedicineHemodialysisNocturnalDialysisPopulationPediatricsSurgeryInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

Home hemodialysis (HD) in Australia represents 11% of the dialysis population. This percentage has declined over the last 20 years but the absolute number of home HD patients has increased since 2001. The major reason for this resurgence has been the institution of nocturnal HD at home. Predominantly, this has been as a strictly alternate day exercise, although 5-6 times per week dialysis is also practised. Short-daily HD is uncommon in Australia. Nocturnal HD now comprises 30% or more of all home HD. Most home HD in Australia is practiced without remote monitoring, using simple machines with separate reverse osmosis units. Patients tend to self-needle and not all have a "partner." The enthusiasm for nocturnal HD in particular has been fuelled by ANZDATA Registry data demonstrating a survival advantage for patients dialyzing alternate days compared with 3 times per week; and for patients dialyzing for >18 hours per week compared with 12 or 15 hours per week.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.005
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.065
GPT teacher head0.381
Teacher spread0.315 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations27
Published2008
Admission routes1
Has abstractyes

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