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Record W2321239422 · doi:10.1093/icvts/ivu276.108

108 * INITIAL MANAGEMENT OF PULMONARY BLOOD FLOW IS ASSOCIATED WITH LATE OUTCOMES IN TRICUSPID ATRESIA

2014· article· en· W2321239422 on OpenAlexaff
Travis J. Wilder, Edward Hickey, B. McCrindle, Gerhard Ziemer, Eugene H. Blackstone, Tara Karamlou, Paul M. Kirshbom, Peter J. Gruber

Bibliographic record

VenueInteractive Cardiovascular and Thoracic Surgery · 2014
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineTricuspid atresiaCardiologyPulmonary arteryPulmonary artery bandingInternal medicinePulmonary atresiaConcomitantSurgeryHeart disease

Abstract

fetched live from OpenAlex

Objectives: To determine the association between survival and surgical management of pulmonary blood flow (PBF) at index procedure in tricuspid atresia (TA). Methods: Infants with TA (n = 303) were enrolled from 34 institutions (1999–2013). Among infants with surgical intervention (n = 302), the index procedures included Blalock-Taussig shunt (mBT; n = 189, 62%), pulmonary artery banding (PAB; n = 50, 17%) or superior cavopulmonary connection (SCPC; n = 63, 21%). Parametric multiphase risk-adjusted models were used to analyse competing outcomes. Results: Risk-adjusted 1-year survival was lower after mBT (90%) versus PAB (97%) or SCPC (97%) (P = 0.04). Poor survival without SCPC after mBT was associated with a lower immediate post-procedure (prior to extubation) oxygen saturation (Fig. 1). Post-mBT survival was also significantly lower when the ductus remained open post- procedure (n = 7; 97% vs 76%; P = 0.02). mBT origin from the subclavian artery trended toward worse survival than origin from the innominate (IA) (87% vs 94%; P = 0.1). Conclusion: TA patients with mBT represent a high-risk subgroup. Through mechanisms not fully understood, concomitant PT intervention at mBT is associated with increased risk of death which continues after transition to SCPC.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score0.771

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 head0.018
GPT teacher head0.283
Teacher spread0.265 · 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 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
Published2014
Admission routes1
Has abstractyes

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