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Record W975834011

Abstract 16152: The Mustard Operation for Transposition of the Great Arteries: Challenges During Adulthood

2011· article· en· W975834011 on OpenAlexaff
Jerry Stortenbeker, Edward Hickey, Yaroslavna Nosikova, Candice Silversides, Erwin Oechslin, William G. Williams, Glen S. Van Arsdell

Bibliographic record

VenueCirculation · 2011
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsToronto General HospitalHospital for Sick Children
Fundersnot available
KeywordsMedicineGreat arteriesCardiologyInternal medicineHeart failureTransplantationIncidence (geometry)ContractilityHeart transplantationSurgeryHeart disease
DOInot available

Abstract

fetched live from OpenAlex

Background Survivors of the Mustard operation have largely transitioned to adulthood, yet their prognosis is uncertain. Methods We investigated all 205 patients who underwent Mustard operation for d-TGA (1963-1991) and transitioned to our adult services. Outcomes were analyzed by parametric competing risks and repeated measures analysis of ECGs (2776), echos (1363), cardiopulmonary tests (321) and MRIs (288). Results Attrition was constant (~1%/year); 20 years after transitioning to adulthood 79% were alive with a systemic RV circulation. Only 8 underwent transplantation. Intact ventricular septum was associated with improved late survival during adulthood (85% versus 69%, P=.05). The systemic RV gradually dilated over time (figure). This was associated with progressive decline in qualitative contractility (P Conclusions Gradual deteriorations in RV and tricuspid performance account for a high incidence of congestive heart failure in adults surviving Mustard operation. Nevertheless, very late survival is impressive, transplantation is rare and tricuspid or baffle interventions are infrequent. Inexorable RV dilatation will pose future management dilemmas.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.051
GPT teacher head0.262
Teacher spread0.211 · 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
Published2011
Admission routes1
Has abstractyes

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