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Record W4361195578 · doi:10.1016/s2666-7568(23)00032-6

Cardiorenal outcomes, kidney function, and other safety outcomes with ertugliflozin in older adults with type 2 diabetes (VERTIS CV): secondary analyses from a randomised, double-blind trial

2023· article· en· W4361195578 on OpenAlexaff
Richard E. Pratley, Christopher P. Cannon, David Z.I. Cherney, Francesco Cosentino, Darren K. McGuire, Margaret Noyes Essex, David Lawrence, Philip LStJ Jones, Jie Liu, Ingrid Adamsons, Samuel Dagogo‐Jack

Bibliographic record

VenueThe Lancet Healthy Longevity · 2023
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsUniversity of Toronto
FundersMerck Sharp and DohmePfizer
KeywordsMedicineType 2 diabetesHeart failureDiabetes mellitusStroke (engine)Kidney diseaseRenal functionInternal medicineMyocardial infarctionPlaceboAdverse effectCardiologyEndocrinologyPathology

Abstract

fetched live from OpenAlex

BACKGROUND: VERTIS CV was a randomised, double-blind, placebo-controlled, parallel-group, multicentre cardiovascular outcomes trial that evaluated the cardiovascular efficacy and safety of ertugliflozin in adults with type 2 diabetes and atherosclerotic cardiovascular disease. The primary objective of VERTIS CV was to show non-inferiority of ertugliflozin to placebo with respect to the primary outcome, major adverse cardiovascular events (a composite of death from cardiovascular causes, non-fatal myocardial infarction, or non-fatal stroke). The analyses reported here aimed to assess cardiorenal outcomes, kidney function, and other safety outcomes with ertugliflozin in older adults with type 2 diabetes and atherosclerotic cardiovascular disease compared with younger participants. METHODS: VERTIS CV was done at 567 centres in 34 countries. Participants (aged ≥40 years) with type 2 diabetes and atherosclerotic cardiovascular disease were randomly assigned (1:1:1) to once-daily ertugliflozin 5 mg, ertugliflozin 15 mg, or placebo in addition to background standard-of-care treatment. Random assignment was done with the use of an interactive voice-response system. The study outcomes were major adverse cardiovascular events, hospitalisation for heart failure or cardiovascular death, cardiovascular death, hospitalisation for heart failure, prespecified kidney composite outcomes, kidney function, and other assessments of safety. Cardiorenal outcomes, kidney function, and safety outcomes were evaluated by baseline age (≥65 years and <65 years [prespecified] and ≥75 years and <75 years [post hoc]). The study is registered with ClinicalTrials.gov, NCT01986881. FINDINGS: >0·05 for outcomes assessed). A slower decline in eGFR and a smaller increase in the urine albumin-to-creatinine ratio were observed over time in all age subgroups taking ertugliflozin compared with placebo. Across age subgroups, safety outcomes were consistent with the known profile of ertugliflozin. INTERPRETATION: The effects of ertugliflozin on cardiorenal outcomes, kidney function, and safety outcomes were generally similar across age subgroups. These results have the potential to help clinical decision making by providing a longer-term evaluation of the cardiorenal safety and overall tolerability of ertugliflozin in a large population of older adults. FUNDING: Merck Sharp & Dohme LLC, a subsidiary of Merck & Co, Inc, Rahway, NJ, USA in collaboration with Pfizer Inc, New York, NY, USA.

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)0.009
metaresearch head score (Gemma)0.010
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 score0.009
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.006
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.051
GPT teacher head0.327
Teacher spread0.276 · 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

Citations40
Published2023
Admission routes1
Has abstractyes

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