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Record W1531328436 · doi:10.1159/000327175

The Burden of Cardiovascular Risk in Chronic Kidney Disease and Dialysis Patients (Cardiorenal Syndrome Type 4)

2011· review· en· W1531328436 on OpenAlex
Andrew A. House, Claudio Ronco

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

VenueContributions to nephrology · 2011
Typereview
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineCardiorenal syndromeHeart failureKidney diseaseCardiologyInternal medicineDialysisLeft ventricular hypertrophyAcute coronary syndromeIntensive care medicineType 2 diabetesPopulationDiabetes mellitusIncidence (geometry)Myocardial infarctionBlood pressureEndocrinology

Abstract

fetched live from OpenAlex

Type 4 cardiorenal syndrome is a growing societal problem as the aging population, with increasing incidence of chronic kidney disease (CKD), diabetes, obesity, hypertension, and other cardiovascular risks, leads to higher numbers of individuals suffering the complications of this bidirectional disorder. In this review, the immense burden of cardiovascular risk faced by patients on dialysis, as well as lesser degrees of CKD, will be examined, with emphasis on rates of acute coronary syndrome/coronary insufficiency, congestive heart failure/left ventricular hypertrophy, and cardiac arrhythmia/sudden cardiac death.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.961
Threshold uncertainty score0.851

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
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 head0.013
GPT teacher head0.276
Teacher spread0.263 · 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