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Record W1991322067 · doi:10.1002/ccd.10700

Outcomes and alternative techniques for device closure of the large secundum atrial septal defect

2003· article· en· W1991322067 on OpenAlexaff
Chetan Varma, Lee Benson, Candice Silversides, James Yip, Matthew R. Warr, Gary D. Webb, Samuel C. Siu, Peter R. McLaughlin

Bibliographic record

VenueCatheterization and Cardiovascular Interventions · 2003
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and Diving-Related Complications
Canadian institutionsToronto General HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineSeptum secundumClosure (psychology)CardiologyInternal medicineHeart septal defect

Abstract

fetched live from OpenAlex

Outcomes of device closure of large and small secundum atrial septal defects (ASDs) as related to rim anatomy with the Amplatzer atrial septal occluder were compared. Rim adequacy (> or = 5mm) of the anterior, inferior, posterior, and superior rims was determined using transesophageal echocardiography. Balloon-stretched defect size defined patients into two groups: group 1, < or = 25 mm (n = 138); group 2, > 25 mm (n = 34). Rim deficiency (n = 62) was more frequent in group 2 compared to group 1 (50% vs. 33%; P = 0.07), especially inferior rim deficiency (35% vs. 2%; P = 0.005). Device deployment was successful in group 1 and group 2 (100% vs. 91%; P = 0.007). Unsuccessful deployment was associated with an ASD of > 25 mm (P = 0.007) and inferior rim deficiency (P = 0.001). At first follow-up (54 +/- 16 days), right ventricular systolic pressure had improved in both groups (P < 0.001). Closure of a large ASD associated with a lack of support in the inferior rim may warrant alternative strategies to position the device successfully.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.028
GPT teacher head0.301
Teacher spread0.272 · 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

Citations123
Published2003
Admission routes1
Has abstractyes

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