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Record W4417226545 · doi:10.14740/jcgo1539

Comparative Analysis of Intracervical Dinoprostone Gel and Vaginal Misoprostol for Labor Induction in a Primigravida at Term

2025· article· en· W4417226545 on OpenAlexvenueno aff
Geeta Jamwal, M. C. Rana, R. K. Sharma

Bibliographic record

VenueJournal of Clinical Gynecology and Obstetrics · 2025
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMisoprostolFetal distressApgar scoreLabor inductionInclusion and exclusion criteriaDinoprostoneFetusVaginal deliveryCephalic presentation

Abstract

fetched live from OpenAlex

Background: The study addresses critical aspects of contemporary obstetric practices regarding labor induction in primigravida at term, focusing on the effectiveness and safety of intravaginal misoprostol (25 µg every 6 h for a maximum of four doses) and dinoprostone gel (0.5 mg every 6 h for a maximum of three doses). Methods: It was a prospective interventional study. Inclusion criteria were: primigravida with an indication for labor induction, gestational age of 37 weeks or more, estimated fetal weight < 3.5 kg, Bishop score < 6 indicating an unfavorable cervix, singleton fetus, cephalic presentation, reactive fetal heart rate pattern, and patient consent. Exclusion criteria were: previous cesarean section uterine surgery, cephalo-pelvic disproportion, malpresentations, evidence of fetal distress pre-induction, grand multipara, fetal anomalies, intrauterine death, allergy to prostaglandins, major degree of placenta previa, and estimated fetal weight > 3.5 kg. Both the agents were compared in terms of: change in Bishop score (depending upon the doses of drugs and contractions), induction to active phase of labor, induction to delivery interval, total duration of labor, intrapartum complications (tachysystole, chorioamnionitis, rupture uterus), mode of delivery, fetal outcome at birth (fetal distress-hypoxia, bradycardia, meconium-stained liquor) Apgar score, postpartum complications like postpartum hemorrhage, and puerperal sepsis. Prospective interventional study was conducted among 200 primigravida women after meeting the strict inclusion and exclusion criteria of the hospital. Groups A and B were randomized with 100 patients each and maternal and fetal outcomes were studied. Partogram was used for monitoring and oxytocin was used as per necessity. Maternal and fetal outcomes were studied. Results: The average gestational age was 38.74 ± 1.03 weeks, with a range of 37 to 41 weeks. The mean pre-induction Bishop score was 4.39 ± 1.02, with scores ranging from 2 to 6. The average total duration of labor experienced by these participants was 13.94 ± 4.43 h. The predominant indication for labor induction was identified as intrahepatic cholestasis of pregnancy (IHCP), accounting for 35.5% of cases. Subsequently, postdatism was the second most prevalent reason at 22.5%, followed by pregnancy-induced hypertension (PIH) at 19.5%. It was noted that the majority of pregnant women, approximately 90%, required only one to two doses of inducing agents, either intravaginal misoprostol or dinoprostone gel. While both agents were effective in initiating labor, intravaginal misoprostol demonstrated superiority in expediting labor progression and reducing the duration of labor. Both the agents exhibited comparable rates of neonatal and maternal complications, highlighting their overall safety and efficacy in clinical practice. In terms of the need for oxytocin in both groups, there was a statistically significant difference demonstrating better efficacy of misoprostol than dinoprostone gel. Conclusions: While both intravaginal misoprostol and dinoprostone gel were successful in inducing labor, our results showed that intravaginal misoprostol was superior in several important areas.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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 integrity0.0000.000
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 head0.076
GPT teacher head0.464
Teacher spread0.388 · 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 designNon-randomized 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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