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CARDIOVASCULAR AND SURVIVAL PARADOXES IN DIALYSIS PATIENTS: Reversing the Risk Factor Paradox: Is Daily Nocturnal Hemodialysis the Solution?

2007· review· en· W1891732711 on OpenAlexaff
Robert P. Pauly, Christopher T. Chan

Bibliographic record

VenueSeminars in Dialysis · 2007
Typereview
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsToronto General HospitalUniversity Health Network
Fundersnot available
KeywordsMedicineHemodialysisIntensive care medicineRisk factorDialysisDiseaseNocturnalPopulationEpidemiologyKidney diseaseRenal replacement therapyInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

Reverse epidemiology or risk factor paradox refers to observations that traditional cardiovascular risk factors may not portend the same poor outcomes in the end-stage renal disease (ESRD) population, and may even be protective. If the underlying cause of this paradox is the "unphysiology" of the uremic milieu, as exemplified by the malnutrition-inflammation-complex syndrome, oxidative stress, and other aberrations of normal physiology, we propose that correcting this "unphysiology" could normalize the relationship between the traditional risk factors and their corresponding outcomes. In this review we summarize the growing body of evidence suggesting that daily nocturnal hemodialysis (NHD), a novel intensive form of home-based renal replacement therapy, normalizes many physiological processes, in an effort to support the hypothesis that NHD may reverse the risk factor paradox.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.967
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.027
GPT teacher head0.295
Teacher spread0.268 · 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 designOther design
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

Citations25
Published2007
Admission routes1
Has abstractyes

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