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Record W4408444724 · doi:10.1016/j.ekir.2025.03.012

International Home Dialysis Consortium: Declaration Advocating for the Promotion of Home Dialysis Globally

2025· article· en· W4408444724 on OpenAlexaff
Edwina A. Brown, Vivekanand Jha, Sunita Bavanandan, Christopher T. Chan, Simon Davies, Ana Figueirido, Adrian Liew, Magdalena Madero, Abdou Niang, Rajnish Mehrotra, Sandip Mitra, Peter Rutherford, Anjali Saxena, Brigitte Schiller, Claus Peter Schmitt, Sydney Tang, Irma Tchokhonelidze

Bibliographic record

VenueKidney International Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity of TorontoUniversity Health Network
FundersDeutsche ForschungsgemeinschaftArrowhead PharmaceuticalsBioCrystAlnylam PharmaceuticalsAlexion PharmaceuticalsImperial College LondonFresenius Medical Care North AmericaAmerican Society of NephrologyBayerAstraZenecaGlaxoSmithKline
KeywordsMedicineDeclarationDialysisPromotion (chess)Intensive care medicineHome dialysisInternal medicineLaw

Abstract

fetched live from OpenAlex

The use of home dialysis (peritoneal dialysis [PD] and home hemodialysis [HHD]) is variable in high-income countries despite its known lifestyle benefits and lower costs, and is unavailable or underused in many lower-income countries, where PD could increase access to dialysis. The International Home Dialysis Consortium (IHDC) is a joint project of the ISN and the International Society for Peritoneal Dialysis (ISPD). The consortium has been established to address the challenges and barriers to and improve the adoption of home dialysis globally. A launch meeting was held at the World Congress of Nephrology 2024 in Buenos Aires, Argentina, focusing on 4 areas-empowering people needing dialysis, nephrology workforce education, developing workforce and resources, and integrating care and payment policies. The key statements from each group were then amalgamated to produce a manifesto that advocates for the global promotion of home dialysis (PD and HHD) to enhance patient experience, quality, and equity in kidney failure care. This manifesto will be presented to professional kidney-related societies (medical, nursing, patients, and technical) to adopt the declaration as a practical roadmap to increase home dialysis awareness and, consequently, modality selection.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.017
GPT teacher head0.301
Teacher spread0.284 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations6
Published2025
Admission routes1
Has abstractyes

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