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Record W2931525881 · doi:10.14740/jcgo.v8i1.433

Induction of Labor and Risk for Emergency Cesarean Section in Women at Term Pregnancy

2019· article· en· W2931525881 on OpenAlexvenueno aff
Gomathy Ethiraj, Aditi C. Ramachandra, Sandhya Rajan

Bibliographic record

VenueJournal of Clinical Gynecology and Obstetrics · 2019
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineObstetricsFetal distressPregnancyOligohydramniosGestational diabetesLabor inductionGestationCardiotocographyPreeclampsiaMisoprostolGestational hypertensionRetained placentaGynecologyFetusOxytocinPlacentaAbortionInternal medicine

Abstract

fetched live from OpenAlex

Background: Induction of labor has become one of the most common interventions in obstetrics, and because of this we have the increasing number of Cesarean sections. Identifying these risk factors which increase the risk of Cesarean section has become important so that we can induce patients putting them in lower risk of Cesarean section. Cesarean sections should be audited using the obstetrical concepts and parameters for induction of labor. Methods: A prospective case-control study has been conducted among pregnant women between 37 - 42 weeks of gestation, who were recruited from the labor ward for a period of 1 year. All women enrolled for the study were clinically examined to assess for Bishop’s score, obstetric scan and cardiotocography (CTG). Induction was done using tab misoprostol 50 µg 6th hourly for a maximum of four doses in 24 h and augmented with oxytocin if required. In our tertiary hospital in Kolar district of Karnataka we decided to conduct a study with a sample size of 178 patients. We assessed the risk factors in term pregnancies and their delivery outcome following induction. Baseline demographic details along with pregnancy risk factors were taken into account. Induction agent as well as induction to delivery interval with those that underwent Cesarean section was also taken into account. Pregnancy outcome was determined. Results: This study concluded that significant risk factor for Cesarean was primigravida with fetal distress due to oligohydramnios, compared to other risk factors such as preeclampsia, gestational hypertension, post-dated pregnancy and gestational diabetes mellitus. Bishops score prior to induction was < 6. Out of these women 43 underwent Cesarean after induction in view of fetal distress for non reassuring nonstress test (NST). Primigravida had a risk of 4.4 times for Cesarean after induction, and absence of oligohydramnios was a protective factor in the study with odds ratio of 0.2. Conclusions: Induction of labor at term has reduced the number of Cesarean sections in our study with a single risk factor. J Clin Gynecol Obstet. 2019;8(1):17-20 doi: https://doi.org/10.14740/jcgo433w

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.052
GPT teacher head0.397
Teacher spread0.346 · 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 designObservational
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".

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Citations1
Published2019
Admission routes1
Has abstractyes

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