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Record W2792734132 · doi:10.1111/sdi.12692

Dialysis modality and survival: Done to death

2018· review· en· W2792734132 on OpenAlexaff
Emilie Trinh, Christopher T. Chan, Jeffrey Perl

Bibliographic record

VenueSeminars in Dialysis · 2018
Typereview
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity Health NetworkSt. Michael's HospitalMcGill University Health Centre
Fundersnot available
KeywordsMedicineModalitiesIntensive care medicineObservational studyDialysisModality (human–computer interaction)Randomized controlled trialPeritoneal dialysisHemodialysisTreatment modalityMEDLINEConsistency (knowledge bases)SurgeryInternal medicine

Abstract

fetched live from OpenAlex

The debate surrounding whether peritoneal dialysis or hemodialysis is associated with differential survival continues as the numerous comparative studies over the past 3 decades have yielded conflicting results. Findings have also evolved over time in the setting of changing patient characteristics, advances in dialytic technologies, and the use of more robust statistical and epidemiologic approaches. Here, we will critically review the body of evidence, both historical and contemporary, comparing survival across dialysis modalities. Significant limitations of the observational nature of the current literature will be highlighted given that no adequately powered randomized controlled trials exist. Given the lack of consistency and limitations of current studies, coupled with the poor survival across both modalities, we can likely conclude that survival comparisons between both modalities do not appreciably differ. Hence, the choice of dialysis modality should not be dictated by survival comparisons, but rather be based on an individualized and informed decision making that places patient preference and lifestyle considerations at the forefront, while integrating medical factors and availability of resources and support. The emphasis of future research should move beyond survival outcomes when comparing dialysis modalities, and instead be redirected to patient-endorsed and patient-reported outcomes.

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)0.001
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 score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.046
GPT teacher head0.352
Teacher spread0.306 · 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

Citations37
Published2018
Admission routes1
Has abstractyes

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