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Is There More to Living Than Not Dying? A Reflection on Survival Studies in Dialysis

2007· article· en· W1482303161 on OpenAlexaff
Joanne M. Bargman

Bibliographic record

VenueSeminars in Dialysis · 2007
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineHemodialysisPeritoneal dialysisDialysisIntensive care medicineHome hemodialysisComorbidityConfoundingPropensity score matchingModalitiesRenal replacement therapyTreatment modalityLife expectancyInternal medicinePopulation

Abstract

fetched live from OpenAlex

The publication of the CHOICE study, which compared survival of US hemodialysis and peritoneal dialysis patients, has re-opened the debate about the relative merits of the two dialysis modalities. The principal focus of the research and associated commentary, however, is about which modality is associated with the longest life expectancy. What appears to be missing, however, in the quagmire of propensity scores, comorbidity and confounding factors is that outcomes other than duration of survival must be addressed in discussions of the merits of renal replacement therapies. Home dialysis is very different from in-center hemodialysis, and each therapy has advantages and disadvantages that will have different implications for each patient. Given that overall survival is comparable between home peritoneal dialysis and in-center hemodialysis, we need to stop focusing so much on survival time and let the informed patient choose the modality.

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)0.366
metaresearch head score (Gemma)0.497
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.366
Threshold uncertainty score0.782

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3660.497
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0030.004
Science and technology studies0.0030.032
Scholarly communication0.0100.030
Open science0.0050.007
Research integrity0.0200.043
Insufficient payload (model declined to judge)0.0040.001

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 head0.054
GPT teacher head0.370
Teacher spread0.316 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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
Published2007
Admission routes1
Has abstractyes

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