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Record W3175838179 · doi:10.21203/rs.3.rs-516241/v1

Clinical Study of The Early Application of Lvabradine For Acute Anterior Myocardial Infarction Patients After PCI With Early Heart Failure To Observe Cardiac Function And Prognosis

2021· preprint· en· W3175838179 on OpenAlexaboutno aff
Junqing Gao, Xu Wang, Lingyan Li, Hua Zhang, Hong Zhang, Ying Liu, Tianjiao Lv, Bingyu Han, Jian Ye, Zongjun Liu

Bibliographic record

VenueResearch Square · 2021
Typepreprint
Languageen
FieldMedicine
TopicHeart rate and cardiovascular health
Canadian institutionsnot available
Fundersnot available
KeywordsConventional PCICardiologyMedicineMyocardial infarctionInternal medicineHeart failureCardiac function curve

Abstract

fetched live from OpenAlex

Abstract BackgroundThe incidence of acute myocardial infarction is increasing each year. Percutaneous coronary intervention has become highly preferred for patients with acute myocardial infarction because it not traumatic and improves heart function. However, the mortality and disability rates are still high. For the first time, we used ivabradine in patients with acute anterior myocardial infarction. We expect that this new method will enhance heart function and clinical prognosis because of heart rate control, decreases in heart preload and improvements in left ventricular end-diastolic volume.Method and analysisThis is a prospective, randomized, controlled, open-label, multicenter and optimally designed clinical trial. A total of 500 patients with acute anterior myocardial infarction after Percutaneous coronary intervention(PCI)with early heart failure will be enrolled. Eligible subjects will be randomized at a 1:1 ratio to take the standard drug treatment or receive the standard drug treatment plus ivabradine. The primary outcome measure is left ventricular end-diastolic volume. Left ventricular ejection fraction, adverse cardiac events, and the Canadian angina pectoris score will be evaluated as secondary endpoints. Blood biochemical testing will be used as the safety endpoints. Ethics and dissemination The clinical research will be carried out in strict accordance with the relevant Chinese laws and regulations, the Declaration of Helsinki, and the ethical and scientific principles stipulated by the Chinese GCP. All participants will provide informed consent. The personal information of patients will be kept confidential. Findings from the trial will be disseminated through peer-reviewed journals and scientific conferences.ClinicalTrials.govID:ChiCTR2000032731,Registered8May,2020 http://www.chictr.org.cn/showproj.aspx?proj=53275 Trial Statusversion number: Protocol version 1.0., approved9 May,2020Trial ongoingStudy execute time: From 1 September 2020 to 31 Octomber 2022Recruiting time: From 8 May 2020 to 31 December 2022

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.039
GPT teacher head0.390
Teacher spread0.350 · 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 designNon-randomized trial
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
Published2021
Admission routes1
Has abstractyes

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