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Record W2807247631 · doi:10.1111/sdi.12712

Incremental peritoneal dialysis: New ideas about an old approach

2018· editorial· en· W2807247631 on OpenAlexaff
Bourne L. Auguste, Joanne M. Bargman

Bibliographic record

VenueSeminars in Dialysis · 2018
Typeeditorial
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicinePeritoneal dialysisDialysisIntensive care medicineKt/VHemodialysisRenal functionKidney diseaseUrologyQuality of life (healthcare)Internal medicineNursing

Abstract

fetched live from OpenAlex

Abstract Coping with the transition from end‐stage kidney disease to dialysis can be challenging for patients and their care partners. Introducing incident dialysis patients to incremental forms of dialysis is associated with better quality of life and reduced cost. Incremental hemodialysis ( HD ) has generated significant interest over the last decade with treatments that focus on clinical criteria rather than prespecified Kt/V urea targets. Incremental peritoneal dialysis ( PD ) has traditionally focused on the sum of residual renal and peritoneal clearances to achieve a specific Kt/V urea value. Gradual increases in the PD dose were prescribed as the residual kidney function declined. Adopting a new approach to incremental PD similar to what has been done for incremental HD would obviate the need for Kt/V urea and focus exclusively on clinical criteria. New incremental PD may be considered less disruptive to incident dialysis patients, and may be more likely to be accepted as treatment. It will also reduce our obsession with small solute kinetics and enhance encounters with patients by focusing instead on the holisitc clinical assessment.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.124
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.280
Teacher spread0.270 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations30
Published2018
Admission routes1
Has abstractyes

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