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International quotidian dialysis registry: Annual report 2009

2009· article· en· W2140488550 on OpenAlexaffvenueabout
Gihad Nesrallah, Rita S. Suri, Louise Moist, Meaghan S. Cuerden, Karen E. GROENEWEG, Raymond M. Hakim, Norma J. Ofsthun, Stephen McDonald, Carmel M. Hawley, Fergus Caskey, Cécile Couchoud, Christian Awaraji, Robert M. Lindsay

Bibliographic record

VenueHemodialysis International · 2009
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsLondon Health Sciences CentreHumber River Regional Hospital
Fundersnot available
KeywordsMedicineDialysisHemodialysisMedical prescriptionProspective cohort studyEmergency medicineCohortInternal medicine

Abstract

fetched live from OpenAlex

The International Quotidian Dialysis Registry (IQDR) is a global initiative designed to study practices and outcomes associated with the use of hemodialysis (HD) regimens of increased frequency and/or duration. The IQDR grew out of the initiative that lead to the randomized prospective studies of nocturnal HD and short hours daily dialysis vs. conventional thrice weekly HD that are conducted by the Frequent Hemodialysis Network sponsored by the National Institutes of Health. These 2 separate studies are drawing to a close and the first results are expected to be reported later this year. These studies use surrogate outcomes for their primary endpoints as they are not powered to look at outcomes of mortality and hospitalization. The IQDR attempts to aggregate long-term follow-up data from centers utilizing alternative HD regimens worldwide and will have adequate statistical power to examine those important outcomes. To date, the IQDR has enrolled patients from Canada, the United States, Australia, New Zealand, and France and has linked with commercial databases and national registries. This sixth annual report of the IQDR describes: (1) An update on the governance structure; (2) The recommendations made at the first general meetings of the IQDR Scientific Committee and Advisory Board; (3) The status of those recommendations; (4) A summary of current data sources and participating registries; (5) The status of recruitment to date; (6) The creation of a specific Canadian IQDR data set and; (7) The current research agenda.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.834
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.281
Teacher spread0.269 · 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 designNot applicable
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

Citations51
Published2009
Admission routes3
Has abstractyes

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