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THE CLINICAL EPIDEMIOLOGY OF CARDIOVASCULAR DISEASES IN CHRONIC KIDNEY DISEASE: Clinical Epidemiology of Cardiac Disease in Renal Transplant Recipients

2003· review· en· W1925959127 on OpenAlexaff
Claudio Rigatto

Bibliographic record

VenueSeminars in Dialysis · 2003
Typereview
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsMedicineHeart failureInternal medicineTransplantationCardiologyEpidemiologyKidney diseaseFramingham Risk ScoreDiseaseCardiomyopathyPopulationDiabetes mellitusAnemiaIntensive care medicine

Abstract

fetched live from OpenAlex

Cardiovascular disease (CVD) is the major cause of death among renal transplant recipients (RTRs), accounting for 17-50% of deaths. Both cardiomyopathy (congestive heart failure [CHF] and left ventricular hypertrophy [LVH]) and ischemic heart disease (IHD) are important complications of renal transplantation, although the morbid impact of cardiomyopathy has been overlooked until recently. Echocardiographic disorders and clinical CHF occur far more frequently in RTRs than in the general population, suggesting that renal transplantation may be a state of accelerated heart failure. In contrast, the incidence of IHD in RTRs is similar to that in the Framingham cohort. Age, diabetes, and gender remain important markers of risk for both disorders. Smoking, hyperlipidemia, and hypertension appear to be the major reversible risk factors for IHD, while anemia and hypertension are major reversible risk factors for cardiomyopathy. Definitive evidence on optimal intervention is lacking. Clinical trials are needed to define optimum targets for treatment of these risk factors, especially hypertension and anemia.

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)0.011
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.213
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0130.009
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.116
GPT teacher head0.446
Teacher spread0.330 · 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 designObservational
Domainnot available
GenreReview

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

Citations54
Published2003
Admission routes1
Has abstractyes

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