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Kidney Disease and Cardiovascular Risk

2006· review· en· W2156260432 on OpenAlex
Marcello Tonelli, Marc A. Pfeffer

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnual Review of Medicine · 2006
Typereview
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsInstitute of Health EconomicsUniversity of Alberta
Fundersnot available
KeywordsKidney diseaseMedicineDiseaseIntensive care medicineEpidemiologyVolume overloadKidneyPathophysiologyRisk factorInternal medicineHeart failure

Abstract

fetched live from OpenAlex

Kidney failure and chronic kidney disease (CKD) are associated with accelerated cardiovascular disease, apparently because of a high burden of traditional vascular risk factors and possibly nontraditional risk factors such as inflammation, chronic volume overload, and abnormal calcium-phosphate metabolism. Although the burden of cardiovascular disease in CKD patients is well documented, potentially beneficial therapies appear to be underused in mild to moderate CKD and are relatively understudied in those with kidney failure. This review describes the epidemiology and pathophysiology of cardiovascular disease in CKD. We also discuss the clinical and public health implications of current knowledge and outline opportunities for further research.

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.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.505
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0000.001
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 head0.018
GPT teacher head0.324
Teacher spread0.305 · 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