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Record W2150820150 · doi:10.1093/ndt/gfp189

Survival and dialysis initiation: comparing British Columbia and Scotland registries

2009· article· en· W2150820150 on OpenAlexaffabout
Simon Sawhney, Ognjenka Djurdjev, Keith Simpson, Alison M. MacLeod, Adeera Levin

Bibliographic record

VenueNephrology Dialysis Transplantation · 2009
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineDialysisHemodialysisMEDLINEFamily medicineIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Outcomes are a major metric for evaluating effectiveness of dialysis. Comparisons between different populations reveal significant variation. In addition, the question of optimal timing of dialysis start lacks robust data from which to generate conclusions. METHODS: This study compares dialysis survival in two geographically similar areas, Scotland and British Columbia, Canada (BC). The effect of eGFR at dialysis start on survival was also measured. Incident adult dialysis populations of Scotland (n = 3372) and BC (n = 3927), 2000-05 were compared. Mortality Hazard ratios (HR) were calculated using a Cox proportional hazards model. Multivariate analysis included pre-dialysis eGFR, registry, age, sex, dialysis modality, year of start, pre-dialysis haemoglobin and primary renal diagnosis. RESULTS: Median survival times from start of dialysis were 38 (35-40) and 44 (42-47) months in Scotland and BC, respectively, giving an unadjusted mortality HR, Scotland versus BC, of 1.20 (95% C.I. 1.12-1.29). BC patients started dialysis at a higher eGFR (8.9 ml/min/1.73 m(2)) than Scotland (7.5 ml/min/1.73 m(2)), and prior to modelling higher starting eGFR was associated with higher mortality (1 ml/min/1.73 m(2) increase, HR = 1.028; 95% C.I. 1.021-1.035). BC patients were also older and had more diabetic renal disease. In multivariate analysis, lower starting eGFR was associated with better survival, and Scotland had greater mortality than BC. General population mortality and transplantation rate had only minor influence. CONCLUSIONS: Concepts of 'late' versus 'early' start dialysis based on eGFR alone may need modification given the complexity and confounding reasons for dialysis initiation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.842

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.014
GPT teacher head0.239
Teacher spread0.226 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations79
Published2009
Admission routes2
Has abstractyes

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