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Record W4327599449 · doi:10.1016/j.ajog.2022.10.038

The REDUCED trial: a cluster randomized trial for REDucing the Utilization of CEsarean delivery for Dystocia

2023· article· en· W4327599449 on OpenAlexafffundabout
Stephen Wood, Janice Skiffington, Rollin Brant, Susan E. Crawford, Matthew Hicks, Khorshid Mohammad, Kelly Mrklas, Selphee Tang, Amy Metcalfe

Bibliographic record

VenueAmerican Journal of Obstetrics and Gynecology · 2023
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsAlberta Health ServicesUniversity of British ColumbiaAlberta HealthUniversity of AlbertaUniversity of Calgary
FundersCanadian Institutes of Health ResearchUniversité de SherbrookeAlberta Health Services
KeywordsMedicineRandomized controlled trialCesarean deliveryCephalic presentationLogistic regressionObstetricsVaginal deliveryIntervention (counseling)PregnancyCluster (spacecraft)Emergency medicinePediatricsNursingSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: To reduce cesarean delivery rates in nulliparous women, guidelines for diagnosing nonprogressive labor have been developed by the National Institute of Child Health and Human Development, the American College of Obstetricians and Gynecologists, and the Society for Maternal-Fetal Medicine. These are mainly based on data from the Consortium for Safe Labor study. The guidelines have not been tested in a clinical trial, so the efficacy and safety of this new approach is uncertain. OBJECTIVE: This study aimed to assess whether adoption of new guidelines for diagnosing nonprogressing labor would reduce cesarean delivery rates. STUDY DESIGN: We conducted a cluster randomized controlled trial of a knowledge translation program of the guidelines in 26 Canadian hospitals (13 control sites and 13 intervention sites). The sites included all intrapartum care sites in Alberta that perform cesarean delivery and deliver at least 70 nulliparous women annually. The baseline period started on January 1, 2015. The intervention was initiated at the first intervention site in January 2017. The follow-up period began at the first intervention site in February 2017 and lasted till February 2020. The primary outcome was the rate of cesarean delivery in nulliparous women with vertex presentation in labor at term. The secondary outcomes included spontaneous vaginal birth and maternal and neonatal safety. The main data source for the primary and secondary outcomes was the Alberta Perinatal Health Program database. The cesarean delivery rates were assessed using repeated measures mixed effects logistic regression applied to individual births. RESULTS: The analysis was based on 45,193 deliveries at intervention sites and 43,725 deliveries at control sites. There was no evidence of a decrease in the rate of cesarean delivery in association with the intervention (baseline-adjusted odds ratio, 0.94; 95% confidence interval [0.85-1.05]; P=.259). The rate of spontaneous vaginal delivery increased slightly (baseline-adjusted odds ratio, 1.10; 95% confidence interval, [1.01-1.18]; P=.024). We did not observe any differences in adverse maternal or neonatal outcomes. CONCLUSION: Cesarean delivery rates in nulliparous women were not reduced by the application of recent guidelines for the diagnosis of nonprogressive labor. Spontaneous vaginal delivery-a secondary outcome-was increased in the intervention group. The intervention appears to be safe.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.059
GPT teacher head0.371
Teacher spread0.312 · 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 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

Citations15
Published2023
Admission routes3
Has abstractyes

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