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Record W4363675231 · doi:10.21203/rs.3.rs-2733073/v1

3-year Follow-up of a Prospective, Multicenter Study of the Amplatzer Piccolo™ Occluder for Transcatheter Patent Ductus Arteriosus Closure in Children ≥700 grams

2023· preprint· en· W4363675231 on OpenAlexaff
Brian H. Morray, Shyam Sathanandam, Thomas Forbes, Matthew J. Gillespie, Darren P. Berman, Aimee K. Armstrong, Shabana Shahanavaz, Thomas K. Jones, Toby Rockefeller, Henri Justino, David Nykanen, Courtney Weiler, Dan Gutfinger, Evan M. Zahn

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldMedicine
TopicCardiovascular Conditions and Treatments
Canadian institutionsAbbott (Canada)
FundersChiesi USACook MedicalEdwards Lifesciences
KeywordsDuctus arteriosusMedicineClosure (psychology)Multicenter studyCardiologySurgeryInternal medicinePolitical scienceLawRandomized controlled trial

Abstract

fetched live from OpenAlex

Abstract Objective This study describes 3-year follow-up of 200 infants weighing ≥700 grams who underwent transcatheter patent ductus arteriosus (PDA) closure with the Amplatzer Piccolo™ Occluder. Study Design Between June 2017 and February 2019, 200 children were enrolled in this U.S. study (NCT03055858). Patients were evaluated for PDA closure, survival, and device- or procedure-related events for 3-years post-implant. Results The implant success rate was 95.5% (191/200). At 3 years, PDA closure was observed in 100% (33/33) of patients. Overall survival was >95% with 9 reported deaths. No deaths were adjudicated as device- or procedure-related. Notable events included aortic obstruction (2) requiring stent placement and increased tricuspid regurgitation (5). No intervention was required for tricuspid valve regurgitation. Conclusions This follow-up study demonstrates high rates of PDA closure, low complication rate, and survival >95% at 3 years. The Amplatzer Piccolo™ Occluder is a safe and effective therapy for PDA treatment in premature infants.

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 score0.016
Threshold uncertainty score0.787

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 integrity0.0000.001
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 head0.084
GPT teacher head0.367
Teacher spread0.283 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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