MétaCan
Menu
Back to cohort
Record W2620428129 · doi:10.1093/ndt/gfx149

SP425EFFECTS OF APABETALONE (RVX-208) ON SERUM ALBUMIN IN SUBJECTS WITH CVD, DIABETES AND CHRONIC KIDNEY DISEASE; A POST-HOC ANALYSIS OF THE ASSURE AND SUSTAIN CLINICAL TRIALS

2017· article· en· W2620428129 on OpenAlexaff
Ewelina Kulikowski, Christopher Halliday, Ken Lebioda, Jan Johansson, Mike Sweeney, Kamyar Kalantar‐Zadeh

Bibliographic record

VenueNephrology Dialysis Transplantation · 2017
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsResverlogix (Canada)
Fundersnot available
KeywordsMedicinePost-hoc analysisDiabetes mellitusKidney diseaseClinical trialDiseaseInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

INTRODUCTION AND AIMS: Albumin and Glomerular Filtration Rate (GFR) are known markers of Cardiovascular Disease (CVD) risk and renal function in chronic kidney disease (CKD) and diabetes mellitus (DM) patient populations. A strong relationship exists between high or constant albumin levels in blood and improved renal function. Additionally, albumin levels have been associated with (CVD) risk and major adverse cardiovascular events (MACE) outcomes in DM and CKD patients. Apabetalone is a first-in-class orally active bromodomain and extraterminal domain (BET) inhibitor with BD2 selectivity. Apabetalone in phase 2 studies showed a MACE-reduction in patients with a history of CVD accounted for by effects in DM patients. BET inhibition by apabetalone has been shown to regulate activation of pathways that underlie CVD, DM and CKD including, vascular inflammation and mineralization, coagulation and complement. Additionally, an improvement of estimated GFR has been reported in a subpopulation analysis of CVD patients with baseline eGFR < 60 ml/min/1.73m2 (n=35 in apabetalone group; n=13 placebo group) from the phase 2 clinical trials. METHODS: In the phase 2 clinical studies, high risk CVD patients (n=331 in apabetalone group; n=168 in placebo group) were treated with 100 mg b.i.d apabetalone or placebo for 6 months. Patients with a history of DM (n=127 in apabetalone group; n=65 in placebo group) were evaluated as a subgroup as well as patients with baseline eGFR < 60 ml/min/1.73m2 (n=35 in apabetalone group; n=13 placebo group). Serum albumin was collected during trial visits at screening, 3 months and 6 months. Analysis was performed in each group assessing changes in albumin from screening to 3 and 6 month visits. Plasma Alkaline phosphatase (ALP) activity was assessed at the same time points. RESULTS: Following 6 months of apabetalone treatment, a 1.3% improvement in serum albumin level versus placebo (p<0.05) was observed in all CVD patients. In the DM subgroup, a 2.1% increase in albumin versus placebo (p<0.10) was observed. In patients with baseline eGFR<60 ml/min/1.73m2, the difference in albumin between those on apabetalone treatment and those receiving placebo was 5.2% (p=0.13). Additionally, an increase in eGFR of 3.4% (p=0.04 vs. baseline) was observed in these patients compared to a decrease of 5.9% in the placebo group. The changes in plasma ALP activity for apabetalone and placebo were -13.9% vs. -6.3%, respectively (p<0.05). CONCLUSIONS: In all CVD patients, BET inhibition via apabetalone significantly increased serum albumin levels versus placebo, with the similar or more pronounced numerical effects in the smaller DM and eGFR <60 ml/min/1.73m patients. The parallel observation of increase in eGFR by apabetalone treatment suggests further potential for renal function improvement in patients with CKD and high risk CVD. Apabetalone is currently being evaluated in the phase 3 clinical trial, BETonMACE, which is targeting acute coronary syndrome patients with DM in which an estimated 15% will have CKD.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.005
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.021
GPT teacher head0.324
Teacher spread0.303 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
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".

Quick stats

Citations3
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueNephrology Dialysis TransplantationSame topicDiet and metabolism studiesFrench-language works237,207