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Record W4410186620 · doi:10.1177/19345798251337433

Combination therapy for patent ductus arteriosus in preterm infants: Narrative review

2025· review· en· W4410186620 on OpenAlex
Eyad Bitar, Aimann Surak, Kumar Kumaran, Abbas Hyderi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Neonatal-Perinatal Medicine · 2025
Typereview
Languageen
FieldMedicine
TopicCardiovascular Conditions and Treatments
Canadian institutionsUniversity of AlbertaQueen's University
Fundersnot available
KeywordsDuctus arteriosusMedicineNarrative reviewCombination therapyAcetaminophenIntensive care medicinePharmacologyInternal medicine

Abstract

fetched live from OpenAlex

Management of patent ductus arteriosus (PDA) in preterm infants remains controversial and is a matter of continuous debate with a lack of consensus among practitioners on the optimal therapeutic strategy. The success rate of the most commonly used agents for PDA closure is variable, despite different medications, dosage regimens, routes of administration, and timing or duration of treatment. Combination therapy works by inhibiting prostaglandin production at different levels on the synthesis pathway; so combining acetaminophen and nonsteroidal anti-inflammatory drugs might potentially enhance PDA closure. Few studies explored the effectiveness and safety profile of combination therapy. This review summarizes the best available evidence on the efficacy and safety profile of combination pharmacological therapy for PDA treatment in preterm 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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.933
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
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 head0.049
GPT teacher head0.369
Teacher spread0.321 · 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