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Record W2055168044 · doi:10.1111/sdi.12184

In‐Center Nocturnal Hemodialysis

2014· review· en· W2055168044 on OpenAlexafffund
Baruch D. Jakubovic, Andrew T. Yan, Ron Wald

Bibliographic record

VenueSeminars in Dialysis · 2014
Typereview
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsSt. Michael's HospitalUniversity of Toronto
FundersCanadian Institutes of Health ResearchFresenius Medical Care North America
KeywordsMedicineHemodialysisHome hemodialysisDialysisNocturnalIntensive care medicineQuality of life (healthcare)Randomized controlled trialEmergency medicineInternal medicineNursing

Abstract

fetched live from OpenAlex

Dialysis intensification from conventional regimens (typically thrice weekly, 4 hours per session) is increasingly utilized with the intent of improving the cardiovascular health and quality of life of chronic dialysis recipients. While home nocturnal hemodialysis offers the opportunity for maximal intensification of dialysis, it is inaccessible to the majority of dialysis recipients who are unable to self-administer hemodialysis in their own homes. In-center nocturnal hemodialysis (INHD) permits the intensification of conventional hemodialysis with the benefits of nursing support and supervision in addition to freedom from dialysis during productive daytime hours. Although no randomized trials have evaluated the relative merits of INHD, preliminary data indicate that INHD is a viable option that may confer a variety of benefits for chronic dialysis recipients.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.978
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.327
Teacher spread0.307 · 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 designOther design
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

Citations5
Published2014
Admission routes2
Has abstractyes

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