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Record W2074875010 · doi:10.1055/s-0029-1185731

Left Ventricular Epicardial Lead Implantation via Left Minithoracotomy

2009· article· en· W2074875010 on OpenAlexaff
Eric J. Lehr, Carrie Ye, S. Wang

Bibliographic record

VenueThe Thoracic and Cardiovascular Surgeon · 2009
Typearticle
Languageen
FieldMedicine
TopicCardiac pacing and defibrillation studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCardiologyLead (geology)Internal medicineMedicineGeology

Abstract

fetched live from OpenAlex

OBJECTIVE: The transvenous placement of left ventricular epicardial leads is limited by long procedure times, high procedural failure rates and limited sites for lead placement. Open surgical approaches are used primarily after failure of the transvenous approach but provide additional important benefits. This study assesses the surgical outcomes of left anterior minithoracotomy for the implantation of left ventricular epicardial pacing leads in cardiac resynchronization therapy. METHODS: Eleven patients were referred for open left ventricular epicardial lead placement. Mean patient age was 66.2 (59-77) years. The patients had New York Heart Association class III (II-IV) heart failure, a mean left ventricular ejection fraction of 18 +/- 5 % and mean QRS duration of 177 +/- 29 milliseconds. RESULTS: Left ventricular epicardial leads were successfully placed in all patients. Mean surgery time was 101 +/- 33 minutes and intraoperative lead parameters were: R wave 14.5 +/- 9.8 millivolts, lead threshold 1.4 +/- 0.9 volts at 0.5 milliseconds, impedance 1127 +/- 693 ohms. Impedance was statistically different at 40 +/- 25 weeks with 571 +/- 199 ohms ( P = 0.033). CONCLUSIONS: Left ventricular epicardial lead implantation via left anterior minithoracotomy is safe and effective.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.919
Threshold uncertainty score0.700

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.015
GPT teacher head0.280
Teacher spread0.264 · 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 designOther design
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

Citations2
Published2009
Admission routes1
Has abstractyes

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