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Comparative Survival Literature in Intensive Hemodialysis: Limitations and Future Directions

2011· review· en· W2112476456 on OpenAlexaff
Robert P. Pauly, Scott Klarenbach, Paul Komenda

Bibliographic record

VenueSeminars in Dialysis · 2011
Typereview
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity of ManitobaUniversity of Alberta
Fundersnot available
KeywordsMedicineIntensive care medicineHemodialysisInternal medicine

Abstract

fetched live from OpenAlex

Modality comparisons focusing on survival outcomes of nocturnal hemodialysis (NHD) or short daily hemodialysis (SDHD) versus other treatment paradigms of end-stage renal disease (ESRD) are sparse. The existing literature consists of cohort studies that are small, retrospective, underpowered, and poorly controlled. The only randomized controlled trial that included mortality as part of a complex composite endpoint is unable to provide information on survival only. Even if concerns with internal validity of this literature are set aside, the generalizability of a few hundred NHD and SDHD patients is an important consideration as it remains uncertain whether or not the purported survival benefits of intensive hemodialysis readily translate into similar benefits for the global ESRD population. The most feasible and definitive study design to compare NHD or SDHD to other treatment modalities (and to each other) is a large, prospective, matched cohort study.

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 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 score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.059
GPT teacher head0.331
Teacher spread0.272 · 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

Citations7
Published2011
Admission routes1
Has abstractyes

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