MétaCan
Menu
← Back to cohort

Neprilysin Inhibition and Effects on Kidney Function and Surrogates of Cardiovascular Risk in Chronic Kidney Disease

2018· letter· en· W2898021588 on OpenAlexaffabout
Matthew T. James, Braden Manns

Bibliographic record

VenueCirculation · 2018
Typeletter
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsLibin Cardiovascular Institute of Alberta
Fundersnot available
KeywordsMedicineNeprilysinKidney diseaseRenal functionKidneyDiseaseInternal medicineCardiologyEnzyme

Abstract

fetched live from OpenAlex

acubitril/valsartan is one of a new line of therapeutic agents for patients with heart failure.Given the relationships between kidney disease and structural heart disease, testing the impact of this new agent in patients with chronic kidney disease (CKD) is important.In this issue of Circulation, Haynes and colleagues 1 publish an article that assessed the effects of sacubitril/valsartan on kidney function in patients with CKD and albuminuria.Sacubitril is an inhibitor of neprilysin (neutral endopeptidase), an enzyme that degrades natriuretic peptides and other vasoactive peptides, including angiotensin II and bradykinin, leading to a variety of actions, including natriuresis, diuresis, vasodilatation, and counterregulation of the renal angiotensin system. 2 However, because it activates the angiotensin system (by raising angiotensin II levels), it is used in combination with angiotensin receptor blockers.The efficacy of sacubitril/valsartan in heart failure was established in the PARADIGM-HF trial (Prospective Comparison of ARNI With ACE Inhibitor to Determine Impact on Global Mortality and Morbidity in Heart Failure), a large randomized controlled trial of 8442 patients with class II or greater heart failure (ejection fraction <40%) who showed a reduction in death from cardiovascular causes or hospitalization for heart failure from 26.5% to 21.8%, when compared with treatment with angiotensinconverting-enzyme inhibition over a median follow-up of 27 months. 3Based on the results of this practice changing trial, in 2017, the Canadian Cardiovascular Society Heart Failure guidelines, 4 American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines, and Heart Failure Society of America updated their guidelines.The US guidelines now include sacubitril/valsartan as firstline therapy in conjunction with guideline-directed medical therapy 5 in patients with heart failure with reduced ejection fraction.The Canadian Cardiovascular Society Heart Failure and US guidelines recommend replacing an angiotensin-convertingenzyme inhibitors or angiotensin II receptor blockers with sacubitril/valsartan in patients with heart failure and reduced ejection fraction who remain symptomatic on angiotensin-converting-enzyme inhibitors or angiotensin II receptor blockers.It is important to note that patients with an estimated glomerular filtration rate (eGFR) <30 mL/min/1.73m 2 were excluded from the PARADIGM-HF trial.Hence, the tolerability and efficacy of this medication in patients with more advanced CKD (eGFR <30 mL/min/1.73m 2 ) remains uncertain, although sacubitril/valsartan was noted to be effective in those with eGFR 30 to 60 mL/min/1.73m 2 (35% of patients within PARADIGM-HF).Indeed, cardiovascular disease and CKD frequently coexist, and cardiovascular events are more common than progression to end-stage kidney disease in patients with CKD. 6 Evidence of structural heart disease is present in the majority of patients with CKD by the time they reach end-stage kidney disease,

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.224
Teacher spread0.210 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations11
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueCirculation→Same topicBlood Pressure and Hypertension Studies→French-language works237,207→