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Record W1979706576 · doi:10.14740/jcgo.v3i1.225

The Efficacy of Membrane Sweeping at Term and Effect on the Duration of Pregnancy: A Randomized Controlled Trial

2014· article· en· W1979706576 on OpenAlexvenueno aff
Tarik Y. Yamani Zamzami, Nawal Salim Al Senani

Bibliographic record

VenueJournal of Clinical Gynecology and Obstetrics · 2014
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGestationRandomized controlled trialIncidence (geometry)PregnancyObstetricsGestational ageRupture of membranesGynecologySurgery

Abstract

fetched live from OpenAlex

Background: This study aimed to determine the efficacy and safety of membrane sweeping on the duration of pregnancy at term and induction rate. The study design was a randomized controlled trial. Method: The study conducted at the King Abdulaziz University Hospital, Jeddah, Saudi Arabia, from January 1, 2011 to January 1 2012. One hundred and sixty women with uncomplicated pregnancy attending the antenatal clinic and delivery room were randomized to membrane sweeping (study group, n = 80) or no sweeping (control group, n = 80) at 38 weeks of gestation. Results: Most of the women who underwent membrane sweeping entered spontaneous labor (90 vs. 75%), with a significant difference in mean gestational age (39.5 ± 0.9 vs. 40.0 ± 1.2, P = 0.004). The overall incidence of pregnant women at 41 week gestation was 10 % in women who underwent membrane sweeping and 25% in the controls (OR 3.0, 95% CI 1.2 - 7.3, P = 0.01). The induction rate was less in study compared to control group (10 % vs. 25%; P = 0.01). There were no differences in the incidence of cesarean delivery, or maternal or fetal morbidity between the two groups. Conclusion: Sweeping of the membranes at term is safe and reduces the incidence of post-date gestation. Most women required only a single cervical sweeping. J Clin Gynecol Obstet. 2014;3(1):30-34 doi: http://dx.doi.o rg/10.14740/jcgo225 w

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)0.008
metaresearch head score (Gemma)0.099
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
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 score0.135
Threshold uncertainty score0.908

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.099
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
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 head0.040
GPT teacher head0.386
Teacher spread0.345 · 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 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

Citations14
Published2014
Admission routes1
Has abstractyes

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