MétaCan
Menu
Back to cohort

The Association Between the Time From Oxytocin Cessation During Labor to Cesarean Delivery and Postpartum Blood Loss: A Retrospective Cohort Study

2018· article· en· W2803350508 on OpenAlexaff
Giao Q. Tran, Marcelo Kanczuk, Mrinalini Balki

Bibliographic record

VenueObstetric Anesthesia Digest · 2018
Typearticle
Languageen
FieldMedicine
TopicMaternal and fetal healthcare
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsOxytocinUterine atonyMedicineObstetricsBlood lossAnesthesiaGynecologyInternal medicineHysterectomySurgery

Abstract

fetched live from OpenAlex

( Can J Anaesth . 2017;64(8):820–827) Despite the use of prophylactic agents like oxytocin, the rise in postpartum hemorrhage (PPH) between 2003 and 2010 has been attributed to postpartum uterine atony. Oxytocin reduces PPH by up to 60% when used during the third stage of labor. However, oxytocin is associated with an increased risk of PPH secondary to uterine atony when used for labor augmentation that results in prolonged infusions or high doses. Myometrial oxytocin receptors (OTRs) may be less responsive to oxytocin administered to prevent PPH because the OTRs have become desensitized when exposed to oxytocin during labor augmentation. It is unclear if OTRs can become resensitized after a cessation of oxytocin. This study aimed to assess the association between blood loss and the interval of time between discontinuing oxytocin and cesarean delivery (CD).

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.445

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.007
GPT teacher head0.235
Teacher spread0.228 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueObstetric Anesthesia DigestSame topicMaternal and fetal healthcareFrench-language works237,207