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Record W4415153947 · doi:10.1186/s40001-025-03227-6

Treatment options for young patients with asymptomatic severe aortic stenosis: a multicenter retrospective cohort study

2025· article· en· W4415153947 on OpenAlexaff
Yu Mao, Mengen Zhai, Ping Jin, Fangyao Chen, Yuhui Yang, Gejun Zhang, Xiaoke Shang, Jian Zhao, Haibo Zhang, Lai Wei, Jian Liu, Yingqiang Guo, Yongjian Wu, Nicolò Piazza, Jian Yang

Bibliographic record

VenueEuropean journal of medical research · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsMcGill University Health Centre
FundersNational Natural Science Foundation of China
KeywordsRetrospective cohort studyAsymptomaticMulticenter studyCohort studyMEDLINEYoung adult

Abstract

fetched live from OpenAlex

BACKGROUND: The treatment of patients with asymptomatic severe aortic stenosis (SAS) with left ventricular ejection fraction (LVEF) retention remains controversial. OBJECTIVE: The study aimed to evaluate the safety and efficacy of these three treatment modalities and to provide evidence for their clinical application and promotion. METHODS: ) ≥ 4.0 m/s or mean pressure gradient ≥ 40 mmHg]. Patients were divided into the transcatheter aortic valve replacement (TAVR) group, the surgical aortic valve replacement (SAVR) group, and the conservative treatment group. The primary end point was all-cause mortality during the follow-up period. RESULTS: During follow-up of 66.5 (interquartile range: 63.1-69.2) months, the incidence of the primary end point was lower in the TAVR group than in the conservative treatment group (33.3% vs. 46.4%, P = 0.023), and the incidence of major adverse cardiovascular events was reduced in the SAVR group (12.8% vs. 22.3%, P = 0.047). The incidences of the primary end point (37.3% vs. 60.4%, P < 0.001) and stroke (19.0% vs. 40.7%, P < 0.001) were significantly lower in patients who converted to aortic valve replacement (AVR) compared with those who did not convert to AVR. CONCLUSIONS: Early AVR improved both primary and secondary end points compared with patients having conservative treatments. Conversion to AVR during conservative treatment was found to be more likely to bring net clinical benefits for such patients. TRIAL REGISTRATION: ClinicalTrials.gov Protocol Registration System NCT02917980.

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)0.002
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 score0.019
Threshold uncertainty score0.376

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.027
GPT teacher head0.409
Teacher spread0.382 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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