MétaCan
Menu
Back to cohort

Successful Laser‐Assisted Removal of an Infected ICD Lead with a Large Vegetation

2006· article· en· W1985748051 on OpenAlexaff
Rajneesh Calton, DOULAS CAMERON, Robert J. Cusimano, Naeem Merchant, Vijay S. Chauhan

Bibliographic record

VenuePacing and Clinical Electrophysiology · 2006
Typearticle
Languageen
FieldMedicine
TopicCardiac pacing and defibrillation studies
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineVegetation (pathology)Lead (geology)Pathology

Abstract

fetched live from OpenAlex

Infective endocarditis involving transvenous pacing leads is an uncommon but potentially lethal complication of implantable cardioverter-defibrillator (ICD) implantation. Complete removal of the device and the leads is presently considered to be the optimal treatment in such patients and laser-assisted lead removal is an effective and safe nonthoracotomy approach. However, large vegetations (>10 mm) attached to the lead limit nonthoracotomy explantation because of the potential for hemodynamically embarrassing pulmonary embolization. Laser extraction of leads with vegetation area >300 mm2 has rarely been reported. In this case report, we describe a patient with an infected ICD lead with vegetation greater than 41 x 12.5 mm (512 mm2) in size that was explanted with laser-assistance. The resulting pulmonary embolus produced a 33 x 20 mm pulmonary infarction without hemodynamic or respiratory compromise.

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)0.002
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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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 science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.014
GPT teacher head0.322
Teacher spread0.308 · 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

Citations13
Published2006
Admission routes1
Has abstractyes

Explore more

Same venuePacing and Clinical ElectrophysiologySame topicCardiac pacing and defibrillation studiesFrench-language works237,207