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Record W1981797657 · doi:10.1097/aco.0b013e3283385492

Effect of labor analgesia on labor outcome

2010· review· en· W1981797657 on OpenAlexaff
Stephen H. Halpern, Faraj W. Abdallah

Bibliographic record

VenueCurrent Opinion in Anaesthesiology · 2010
Typereview
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineLabor painEpidural administrationAnesthesiaNeuraxial blockadeIncidence (geometry)Combined spinal epiduralCesarean deliveryPregnancyMorphineSpinal anesthesia

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Labor is among the most painful experiences that humans encounter. Neuraxial analgesia is the most effective means of treating this pain. In this review, we discussed the effect of neuraxial analgesia on the progress of labor when compared with parenteral opioids. We then compared initiation of analgesia with a combined spinal-epidural technique (CSE) to conventional epidural analgesia. Finally we discussed the impact of neuraxial analgesia, given early in labor, compared with later administration. RECENT FINDINGS: Compared with parenteral opioids, neuraxial analgesia does not increase the incidence of cesarean section, although it is associated with a longer (approximately 16 min) second stage of labor. The incidence of operative vaginal delivery is higher in the epidural group but this may be due to indirect reasons such as changes in physician behavior. There was no difference in labor outcome when CSE was compared with low-concentration epidural analgesia, but higher concentrations may prolong labor. Early administration of neuraxial analgesia does not increase the incidence of operative delivery or prolong labor. SUMMARY: Neuraxial analgesia does not interfere with the progress or outcome of labor. There is no need to withhold neuraxial analgesia until the active stage of labor.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.957
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.114
GPT teacher head0.489
Teacher spread0.375 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations62
Published2010
Admission routes1
Has abstractyes

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