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Record W4413274541 · doi:10.1016/j.jscai.2025.103866

SCAI Position Statement on Transcatheter Occlusion of Patent Ductus Arteriosus in Premature Infants

2025· article· en· W4413274541 on OpenAlexaff
Sarosh P. Batlivala, Dana Boucek, Tacy Downing, Timothy Head, Carrie Herbert, Philip T. Levy, R. Allen Ligon, Souvik Mitra, Arash Salavitabar, Shyam Sathanandam, Nathaniel W. Taggart, Jenny E. Zablah, Evan M. Zahn, Brent M. Gordon

Bibliographic record

VenueJournal of the Society for Cardiovascular Angiography & Interventions · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Conditions and Treatments
Canadian institutionsDalhousie University
Fundersnot available
KeywordsDuctus arteriosusPosition statementMedicinePosition (finance)CardiologyStatement (logic)Internal medicineBusinessPhilosophyFinanceLinguistics

Abstract

fetched live from OpenAlex

Historically, pharmacotherapy and surgical ligation have been the primary treatments for occlusion of patent ductus arteriosus (PDA), but recent advancements have led to the US Food and Drug Administration approval of the first transcatheter PDA occlusion device for low birth weight infants in 2019. Although short-term outcomes have been encouraging, successful outcomes are highly dependent on proper patient selection, awareness of key procedural considerations, appropriately trained operators, and institutions meeting a standard of required infrastructural requirements. A multidisciplinary approach involving neonatologists and cardiologists is beneficial, as well as shared decision-making with the patient's family. This position statement from the Society for Cardiovascular Angiography & Interventions provides comprehensive suggestions to optimize the safety and efficacy of transcatheter PDA occlusion in premature infants, aiming to improve long-term outcomes in this vulnerable population.

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)0.007
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.017
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0040.002
Open science0.0040.002
Research integrity0.0290.023
Insufficient payload (model declined to judge)0.0060.007

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 head0.019
GPT teacher head0.281
Teacher spread0.263 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2025
Admission routes1
Has abstractyes

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