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Record W2103163437 · doi:10.1111/sdi.12327

Delivering Home Hemodialysis: Is There Still a Role for Real‐Time Treatment Monitoring?

2014· review· en· W2103163437 on OpenAlexaff
Mark R. Marshall, Andreas Pierratos, Robert P. Pauly

Bibliographic record

VenueSeminars in Dialysis · 2014
Typereview
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity of AlbertaHumber River Regional HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineHemodialysisIntensive care medicineAdverse effectHome hemodialysisMedical emergencySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Remote real-time treatment monitoring for home hemodialysis (HHD) was driven by concerns over patient safety in the early era of HHD. However, decades of clinical experience supported by objective data suggest that HHD is very safe and that remote monitoring is unlikely to avert serious adverse events. As a result, such remote monitoring is not routinely offered in the current era and is generally considered an unnecessary expense. However, a one-size-fits-all approach to abandon remote monitoring may overlook potential opportunities: to improve the clinical care of patients dialyzing at home; and to give patients the confidence to perform HHD in an unsupervised setting.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0010.001
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 head0.021
GPT teacher head0.313
Teacher spread0.292 · 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

Citations15
Published2014
Admission routes1
Has abstractyes

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