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Record W7096984749

Institutional review- Cardiac general Atrial versus biatrial approaches for cardiac myxomas

2003· article· en· W7096984749 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicCardiac tumors and thrombi
Canadian institutionsnot available
Fundersnot available
KeywordsIntracardiac injectionMyxomaRetrospective cohort studyAtrial myxomaLeft Atrial MyxomaAtrial septumSupraventricular arrhythmiaHeart disease
DOInot available

Abstract

fetched live from OpenAlex

Myxomas are the most common primary benign tumors of the heart. The objectives of this study were to review the different surgical approaches to intracardiac myxomas and to assess the long-term prognosis of these patients. We present a retrospective review of 58 intracardiac myxomas surgically removed at the Montreal Heart Institute between September 1975 and May 2002. Nineteen male and 38 female patients with a mean age of 56 ^ 13 years were operated for cardiac myxoma. Atrial and biatrial approaches were used in 41 and 59 % of cases, respectively. The mean follow-up was 8.8 ^ 6.4 years. Supraventricular arrhythmias and conduction disturbances were the most frequent complications following surgery (39%). One patient died early from malignant arrhythmia and eight other patients succumbed during the follow-up period with two cardiac-related deaths from recurrent myxoma and endocarditis, respectively. The overall 10-year actuarial survival was 86 ^ 6%. The retrospective comparison of atrial versus biatrial approaches showed marginal difference in the procedural time and no significant difference in blood losses, transfusion requirements, length of stay, postoperative NYHA functional class and survival. Notwithstanding the approach performed, the surgical treatment of cardiac myxomas is associated with a low operative mortality and good long-term outcome. q 2003 Elsevier B.V. All rights reserved.

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)0.006
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0310.004

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 head0.081
GPT teacher head0.306
Teacher spread0.225 · 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 designObservational
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
Published2003
Admission routes1
Has abstractyes

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