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Record W2563890329 · doi:10.1093/ndt/gfv191.43

SP323EFFECTS OF RVX-208, A FIRST IN CLASS EPIGENETIC BET INHIBITOR, ON KEY RENAL PARAMETERS IN SUBJECTS WITH A HISTORY OF CVD, AND CHRONIC KIDNEY DISEASE (CKD); A POST-HOC ANALYSIS OF PATIENTS FROM THE ASSERT, SUSTAIN AND ASSURE CLINICAL TRIALS

2015· article· en· W2563890329 on OpenAlexaff
Kamyar Kalantar‐Zadeh, Jan Johansson, Ken Lebioda, Christopher Halliday, Michael Sweeney, Norman C.W. Wong

Bibliographic record

VenueNephrology Dialysis Transplantation · 2015
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsResverlogix (Canada)
Fundersnot available
KeywordsMedicinePost-hoc analysisBET inhibitorKidney diseaseInternal medicineDiseaseEpigeneticsEndocrinologyBromodomainBiochemistryGene

Abstract

fetched live from OpenAlex

Introduction and Aims: RVX-208 is a first in class of orally active small molecules that binds selectively to the second ligand domain of bromodomain extra-terminal proteins (BET). These proteins are epigenetic readers that bind acetylated lysine present in the tail of histones thus affecting chromatin structure. RVX-208 inhibits acetylated lysine from binding to BET proteins and thereby alters activity of selected genes. The epigenetic BET inhibitor RVX-208 is characterized by anti-inflammatory effects, activation of apolipoprotein A-I (apoA-I) transcription and improved metabolic effects. Reductions in alkaline phosphatase (ALP) have also been observed. A subpopulation analysis from the double-blind placebo controlled phase 2b program in cardiovascular disease (CVD) identified 81 subjects with CKD based on eGFR < 60 ml/min/1.73m2. The effect of selective BET inhibition on key renal parameters in this subgroup was assessed. Methods: Total of 81 CKD subjects (RVX-208 n=58/Placebo n=23) were treated with either RVX-200mg b.i.d, RVX-208 300mg b.i.d or matching placebo for 3 months and 48 subjects (RVX-208 n=35/Placebo n=13) were treated with RVX-208 200mg b.i.d or matching placebo for 6 months. A pooled analysis was performed to assess the changes from baseline for eGFR, ALP and creatinine at 3 and 6 months. Additional lipid markers assessed included ApoA-I, HDL-cholesterol and HDL particle parameters by nuclear magnetic resonance (NMR.)

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.556

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.305
Teacher spread0.273 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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