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Record W2115051549 · doi:10.1111/sdi.12323

<scp>DEBATE</scp>: Should Dialysis at Home be Mandatory for All Suitable <scp>ESRD</scp> Patients?

2014· review· en· W2115051549 on OpenAlexaff
David C. Mendelssohn

Bibliographic record

VenueSeminars in Dialysis · 2014
Typereview
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsHumber River Regional HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineHome hemodialysisModalitiesAutonomyIntensive care medicineDialysisHome dialysisPeritoneal dialysisPerspective (graphical)HemodialysisBeneficenceNursingInternal medicineLaw

Abstract

fetched live from OpenAlex

Outcomes are similar between hospital-based hemodialysis and less expensive home-based therapies, especially home peritoneal dialysis. Because of this, some have argued that all suitable patients should be forced to these less expensive modalities. However, such an approach would violate the ethical principles of autonomy and maleficence, and would run counter to the movement toward patient-centered care. Therefore, from a North American perspective, home dialysis should be actively promoted for suitable patients, but should not be mandatory. Extending these arguments into newer paradigms of home- and community-based dialysis, with paid assistance, will be a challenge as traditional cost effectiveness arguments may not be definitive and effective. Nephrology will need to embrace new methods for evaluation of therapies and to develop and endorse sophisticated principles of advocacy to influence health care policy and funding decision makers to maximize nonhospital-based, patient-centered care and improve outcomes in the future.

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)0.004
metaresearch head score (Gemma)0.009
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 score0.004
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.003
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0040.002

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 head0.034
GPT teacher head0.312
Teacher spread0.278 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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