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Record W4396706493 · doi:10.1177/08968608241246447

Assisted peritoneal dialysis: Position paper for the ISPD

2024· article· en· W4396706493 on OpenAlexaff
Matthew J. Oliver, Graham E. Abra, Clémence Bechade, Edwina A. Brown, Ana Sánchez-Escuredo, David W. Johnson, Anabela Malho Guedes, Janet Graham, Natália Maria da Silva Fernandes, Vivekanand Jha, N. Kabbali, Talerngsak Kanjanabuch, Philip Kam‐Tao Li, Ulrika Hahn Lundström, Page Salenger, Thierry Lobbedez

Bibliographic record

VenuePeritoneal Dialysis International · 2024
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsOttawa HospitalUniversity of Toronto
Fundersnot available
KeywordsPeritoneal dialysisMedicinePosition (finance)Intensive care medicineDialysisInternal medicineBusiness

Abstract

fetched live from OpenAlex

Peritoneal dialysis (PD) should be offered to every eligible individual with kidney failure who is considering maintenance dialysis. Many individuals prefer PD because it can be provided in their homes and offers them more independence than in-centre haemodialysis (HD). PD is prioritised in many regions because it has similar health outcomes and is often less costly than in-centre HD.1–3 However, a significant number of individuals with kidney failure are elderly, frail or have other physical or cognitive disabilities, which may limit their ability to perform self-care PD. Individuals may also lack family support for PD. Providing assistance may overcome these barriers, permitting more individuals to receive PD, so assisted PD is a crucial strategy that increases patient choice and provides more equitable access to home dialysis. The objectives of this review are to define the scope of assisted PD for this statement, describe major aspects of assisted PD and provide recommendations to expand its availability internationally.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.661
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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)0.0020.000

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 head0.017
GPT teacher head0.306
Teacher spread0.289 · 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
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

Citations30
Published2024
Admission routes1
Has abstractyes

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