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A Case Report of Surgical Septal Myectomy of Hypertrophic Cardiomyopathy With Concomitant Left Ventricular Outflow Tract and Mid-Ventricular Obstructions

2006· article· en· W2917341765 on OpenAlexaff
Wendell H. Williams

Bibliographic record

VenueJournal of Cardiac Surgery · 2006
Typearticle
Languageen
FieldMedicine
TopicCardiomyopathy and Myosin Studies
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineSeptal myectomyVentricular outflow tractHypertrophic cardiomyopathyConcomitantVentricular outflow tract obstructionCardiologyInternal medicineObstructive hypertrophic cardiomyopathyCardiomyopathyOutflowObstructive cardiomyopathyHeart failure

Abstract

fetched live from OpenAlex

Pulmonary artery sarcomas are a diagnostic and therapeutic challenge.Most patients are initially thought to have pulmonary emboli, and during embolectomy, a sarcoma is found.Given the significant morbidity and mortality of cardiac sarcomas, an aggressive strategy for resection is indicated, as this leads to benefits in disease-free and overall survival.Imaging tests and clinical signs and symptoms may assist in accurate preoperative determination of pulmonary artery sarcoma.We present an interesting case of a patient with pulmonary artery sarcoma who underwent successful re-resection, along with a brief discussion regarding preoperative imaging and the surgical resection of these tumors.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.012
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0050.002
Science and technology studies0.0070.004
Scholarly communication0.0020.004
Open science0.0030.004
Research integrity0.0120.006
Insufficient payload (model declined to judge)0.0050.002

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 head0.011
GPT teacher head0.231
Teacher spread0.220 · 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
Published2006
Admission routes1
Has abstractno

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