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Reduction of Total Labor Length Through the Addition of Parenteral Dextrose Solution in Induction of Labor in Nulliparous: Results of DEXTRONS Prospective Randomized Controlled Trial

2018· article· en· W2792364150 on OpenAlexaff
J Paré, Jean-Charles Pasquier, Antoine Lewin, Fraser Wd, Yves-André Bureau

Bibliographic record

VenueObstetric Anesthesia Digest · 2018
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsCentre Hospitalier Universitaire de SherbrookeUniversité de Sherbrooke
Fundersnot available
KeywordsMedicineRandomized controlled trialNeonatal hypoglycemiaInduction of laborHypoglycemiaObstetricsAnesthesiaPregnancyGestationSurgeryEndocrinologyDiabetes mellitus

Abstract

fetched live from OpenAlex

( Am J Obstet Gynecol . 2017;216(5):508.e1–508.e7) Nulliparous women undergoing labor induction are particularly susceptible to having very long labors which are associated with negative effects for both mother and child. Since glucose supplementation improves athletic performance during prolonged exercise and labor could be considered a similar activity, it is thought that the addition of glucose during labor might help muscle performance and shorten labor length. Previous studies have had conflicting results as to the usefulness of the addition of carbohydrates to the overall length of labor, with one study showing an increase in cesarean deliveries and another an increase in neonatal hypoglycemia. To add to this research, a double-blind randomized controlled trial was set up to investigate whether the addition of intravenous glucose shortened active labor, had an effect on the rate of cesarean deliveries or affected neonatal health.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.301
Teacher spread0.281 · 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 designRandomized 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

Citations2
Published2018
Admission routes1
Has abstractyes

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