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Record W2536342817 · doi:10.14740/jocmr2777w

Successful Closure of a Ventricular Septal Defect Using a Novel Non-Prosthesis Touching Technique Following Mechanical Aortic Valve Replacement

2016· article· en· W2536342817 on OpenAlexvenueno aff
Xinghua Gu, Hourong Sun, Lei Zhang, Changjing Qi, Kejie Cai, Xiquan Zhang

Bibliographic record

VenueJournal of Clinical Medicine Research · 2016
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePercutaneousProsthesisSurgeryAortic valveCardiologyAortic valve replacementInternal medicineStenosis

Abstract

fetched live from OpenAlex

Percutaneous intervention is preferred over reoperation for the treatment of iatrogenic membranous ventricular septal defects (VSDs). During the standard percutaneous procedure, an arterio-venous loop is used for occluder deployment, entailing the risk of device impingement on the prosthetic aortic valve, which may cause serious complications or even death. In this report, we describe a novel non-prosthesis touching procedure for the closure of a VSD in a patient with prior aortic valve replacement. The unique feature of this technique is the use of an apex-venous loop for occluder deployment, which prevents the device impingement on the prosthetic valve, thus avoiding difficulties, lengthy operation and serious complications associated with the standard procedure. Immediate and 1-year follow-up results showed that the VSD was successfully closed and no serious complications were observed.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.121
GPT teacher head0.530
Teacher spread0.409 · 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 designCase report
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
Published2016
Admission routes1
Has abstractyes

Explore more

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