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Record W2086235004 · doi:10.1055/s-0032-1332800

Effectiveness and Safety of Indomethacin versus Ibuprofen for the Treatment of Patent Ductus Arteriosus in Preterm Infants

2013· article· en· W2086235004 on OpenAlexaff
Sindhu Sivanandan, Varun Bali, Andrei Harabor, Majeeda Kamaluddeen, Amuchou Soraisham

Bibliographic record

VenueAmerican Journal of Perinatology · 2013
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Conditions and Treatments
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicineIbuprofenDuctus arteriosusNecrotizing enterocolitisPerforationAnesthesiaAdverse effectIncidence (geometry)GastroenterologyInternal medicineSurgeryPharmacology

Abstract

fetched live from OpenAlex

OBJECTIVE: To compare the incidence of medical closure of patent ductus arteriosus (PDA) and adverse events (acute renal dysfunction, necrotizing enterocolitis, spontaneous intestinal perforation, and gastrointestinal bleeding) between preterm infants who received indomethacin and ibuprofen for the treatment of PDA. STUDY DESIGN: A retrospective comparative effectiveness evaluation study was conducted on preterm infants (≤32 weeks) who received indomethacin or ibuprofen for treatment of symptomatic PDA. RESULTS: Of the 124 eligible infants, 54 received indomethacin and 70 received ibuprofen. The overall incidence of medical PDA closure with indomethacin was 37/54 (68.5%) as compared with 42/70 (60%) in the ibuprofen group (p = 0.32). The proportion of infants with surgical PDA ligation was similar between the two groups (18.5% in both the groups). There was no difference in the incidences of acute renal dysfunction, necrotizing enterocolitis stage ≥ 2, spontaneous intestinal perforation, and gastrointestinal bleeding between indomethacin and ibuprofen groups. CONCLUSION: Ibuprofen is as effective as indomethacin in the treatment of symptomatic PDA in preterm infants. This study also shows that both agents have similar adverse effects and the choice of one agent over the other should be based on local availability and dosing preference.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.784
Threshold uncertainty score0.230

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.017
GPT teacher head0.288
Teacher spread0.271 · 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

Citations21
Published2013
Admission routes1
Has abstractyes

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