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Record W4400622099 · doi:10.22374/cjmrp.v7i1.142

A Comprehensive Review of the Research Literature on External Cephalic Version (ECV)

2024· review· en· W4400622099 on OpenAlexaboutno aff
Eileen K. Hutton, Angela Reitsma

Bibliographic record

VenueCanadian Journal of Midwifery Research and Practice · 2024
Typereview
Languageen
FieldMedicine
TopicMedical Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsExternal cephalic versionMedicinePsychologyBreech presentationBiologyPregnancy

Abstract

fetched live from OpenAlex

External cephalic version (ECV) is an approach to turning a fetus from the breech presentation by external maneuvering of the fetus through the maternal abdominal wall into a cephalic presentation. We conducted a systematic search of the current literature on ECV to provide a comprehensive overview of the procedure and associated success rates, risks, and alternatives to ECV. Tocolytics can improve ECV success, but none of the tocolytics shown to be effective for ECV are currently available in Canada. The factors that can best predict ECV success are low uterine tone (associated with parity or tocolytics), easy palpation of the fetal head, and an unengaged breech. The most common side effect of ECV is transient fetal bradycardia with an incidence of one to six percent of all ECV procedures. The risk of requiring an emergency caesarean section because of ECV appears to be around 0.5% or one in 200 ECV procedures performed. Our review suggested no significant risk of fetal/neonatal mortality or serious morbidity associated with ECV. Few alternative approaches to turning a fetus in the breech presentation have been adequately studied. ECV should be considered for all women with a fetus in the breech presentation at term in the absence of any contraindications to the procedure.

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)0.011
metaresearch head score (Gemma)0.034
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.432
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.008
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 head0.404
GPT teacher head0.565
Teacher spread0.161 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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