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Maintenance Infusion Rate of Oxytocin After Initial 1-IU Bolus for Elective Cesarean Delivery: A Dose-Finding Study

2025· article· en· W4413345771 on OpenAlexaff
Linda Boonstra, J.C.A. Carvalho, William R. Turner, Kristi Downey, Ye Xy, J. Thomas, Mrinalini Balki

Bibliographic record

VenueObstetric Anesthesia Digest · 2025
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicineOxytocinBolus (digestion)Cesarean deliveryAnesthesiaIntravenous bolusObstetricsSurgeryPregnancyInternal medicine

Abstract

fetched live from OpenAlex

(Can J Anesth. 2024;71:1363–1371. DOI: 10.1007/s12630-024-02828-9) Postpartum hemorrhage (PPH) is a major cause of maternal death, and oxytocin is recommended after placenta delivery to reduce PPH risk by up to 40%. It is given as an intravenous bolus followed by a maintenance infusion (OMI) to sustain uterine tone. Current guidelines suggest an initial 1 IU bolus, followed by an OMI of 2.5 to 7.5 IU/h. Previous studies in elective cesarean deliveries (CDs) found the minimum effective dose (ED90) without an initial bolus to be 16.2 to 17.4 IU/h. Given the variability in dosing strategies and limited evidence on oxytocin regimens after a bolus, this study aimed to determine the ED90 of OMI after an initial bolus, hypothesizing that the required dose would be lower.

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)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.026
GPT teacher head0.332
Teacher spread0.306 · 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 designNon-randomized trial
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

Citations0
Published2025
Admission routes1
Has abstractyes

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