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Record W1980713288 · doi:10.1055/s-2001-9918

Care of Adults with Congenital Heart Disease - A Challenge for the New Millennium*

2001· article· en· W1980713288 on OpenAlexaff
Gary D. Webb

Bibliographic record

VenueThe Thoracic and Cardiovascular Surgeon · 2001
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsToronto General HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineMultidisciplinary approachCardiac catheterizationHeart diseaseCardiac surgeryHeart defectHealth careIntensive care medicinePediatricsMedical emergencyGeneral surgerySurgeryCardiology

Abstract

fetched live from OpenAlex

The care of complex congenital heart defect (CHD) patients should be continuous through life. Medium- and high-risk patients should be seen in special facilities for grown-up congenital heart (GUCH) patients, and followed for life. CHD in the adult is different than CHD in the child. Transitional programs should be available to prepare the adolescent patient to take charge of his/her own health. The patient should be transferred smoothly from pediatric to adult care. GUCH care should be regionally anchored in special facilities (groups or sometimes individuals) willing to make a commitment to their care. Ideally, pediatric and adult cardiologists will collaborate. GUCH care should be multidisciplinary wherever possible--and certainly in supraregional centers. Surgery, diagnostic catheterization, interventional cath procedures, EP management, and even MRI should be done in selected centers with high quality services for all cases other than the most simple lesions. Care should be available at all times. Surgeons who operate on children with similar conditions should perform the most GUCH surgery. GUCH surgery should be performed in centers with adequate institutional and individual surgeon's volumes. In determining which surgeons and units have adequate volumes, both pediatric and adult volumes should be combined.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.924
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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 head0.016
GPT teacher head0.262
Teacher spread0.246 · 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 designOther design
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

Citations75
Published2001
Admission routes1
Has abstractyes

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