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Record W2049097627 · doi:10.1159/000170280

Ischemic Heart Disease in Chronic Uremia

2008· review· en· W2049097627 on OpenAlex

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

VenueBlood Purification · 2008
Typereview
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsHealth Sciences CentreSt. John’s Health Sciences Centre
Fundersnot available
KeywordsMedicineCardiologyInternal medicineHeart failureIschemiaLeft ventricular hypertrophyAnginaDyslipidemiaHypoalbuminemiaDiabetes mellitusMyocardial infarctionDialysisCardiomyopathyKidney diseaseIschemic cardiomyopathyDiseaseBlood pressureEndocrinologyEjection fraction

Abstract

fetched live from OpenAlex

The burden of ischemic heart disease is high in dialysis patients. Ischemia may result from atherosclerotic and nonatherosclerotic disease and may cause myocardial infarction and angina. The impact of diminished perfusion is intricately associated with the underlying cardiomyopathy, both of which predispose to heart failure. The etiology of ischemia is complex and associated with the underlying cardiomyopathy, whether it be concentric left ventricular hypertrophy, left ventricular dilatation, or systolic dysfunction. Hypertension, diabetes, dyslipidemia, abnormalities of divalent ion metabolism, hypoalbuminemia, and left ventricular hypertrophy are probably adverse risk factors for ischemia, but the relative importance of each is unknown.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.939
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.031
GPT teacher head0.312
Teacher spread0.281 · 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