Comparison of the Bishop score, body mass index and transvaginal cervical length in predicting the success of labor induction

Uyar, Yıldız; Erbay, Gürcan; Demir, Bilge Çetinkaya; Baytur, Yeşim Bülbül

doi:10.1007/s00404-008-0915-x

Cited by 41 publications

(35 citation statements)

References 28 publications

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“…Previous studies have shown that the rate of induced vaginal delivery is significantly higher in multiparous women compared to nulliparous women (4)(5)(6)(7) . In addition, some other studies have reported that no significant difference was found between the patients delivered by vaginal delivery and cesarean section (8,9) .…”

Section: Discussionmentioning

confidence: 95%

“…Cervical examination is of prime importance for elective labor induction (4)(5)(6) . The primary aim in this method is to predict whether labor will commence spontaneously.…”

Section: Discussionmentioning

confidence: 99%

“…In addition to Bishop score, there are some other modalities used for predicting preterm birth, such as ultrasonographic assessment of cervical length and fetal fibronectin testing. Although these two methods have been shown to yield more objective outcomes compared to Bishop score, superiority of these methods over each other or over Bishop score remains controversial (6,7) .…”

Section: Discussionmentioning

confidence: 99%

“…Pregnancies that continue beyond 41 weeks of gestation lead to an increased risk for non-anomalous stillbirth and early neonatal death (3)(4)(5) . These pregnancies have also been shown to cause a number of fetal complications including intrauterine infection, placental insufficiency, umbilical cord compression, fetal hypoxia, asphyxia, and meconium aspiration, all of which may ultimately result in perinatal death (3)(4)(5)(6) and maternal complications including labor abnormalities, failed induction of labor, third-or fourth-degree perineal laceration, and postpartum hemorrhage (4,5) .…”

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confidence: 99%

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Factors Affecting Labor Induction in Late-Term Pregnancies

Peker¹,

Demir²,

Bütün³

et al. 2017

Okmeydani Medical Journal

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Section: Discussionmentioning

confidence: 95%

“…Cervical examination is of prime importance for elective labor induction (4)(5)(6) . The primary aim in this method is to predict whether labor will commence spontaneously.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Factors Affecting Labor Induction in Late-Term Pregnancies

Peker¹,

Demir²,

Bütün³

et al. 2017

Okmeydani Medical Journal

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show abstract

“…, propuseram um estudo para avaliar a eficácia da medida transvaginal do comprimento do colo uterino na predição (45) avaliaram o papel da ultrassonografia A idade gestacional foi calculada a partir da data da última menstruação (DUM), quando concordante com a ultrassonografia de primeiro trimestre; ou por este último quando a diferença era superior a sete dias.…”

Section: Introductionunclassified

Avaliação do colo uterino pela ultrassonografia transvaginal para predição do sucesso da indução do parto

Pitarello

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DEDICATÓRIAÀ minha mãe Regina e meu pai Luiz, meus anjos e grandes incentivadores, que sempre acreditaram que seria possível. Sem o amor de vocês eu não teria conseguido.Ao meu amor e marido Daniel, pelo apoio, carinho, companheirismo e coragem.Aos meus avós Maria Aparecida, José e Catarina, pelo amor, exemplo, dedicação e sabedoria.Aos amados tios Rita e Marcos, por tudo que representam em minha vida, pelo amor, apoio e exemplos a serem seguidos.Aos meus irmãos Rodrigo e Rafael e meus primos Beatriz e João Pedro, pelas alegrias, amor e companheirismo.Aos meus queridos tios José Antônio, Cristiane, Paulo, Rosa, Marcela, Otto, Mônica e primos Izadora, Brenda, Verônica e Matheus. AGRADECIMENTOS ESPECIAISAo Prof. Dr. Rodrigo Ruano, pelos ensinamentos, pela amizade e pelo grande exemplo profissional a ser seguido.Às amigas Cristina Anton e Cristiane Pavão Spaulonci pelo incentivo e amizade.Ao colega Carlos Tadashi Yoshizaki, pelo apoio e importante ajuda neste estudo A todos os médicos

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A machine learning model to predict spontaneous vaginal delivery failure for term nulliparous women: An observational study

Xu,

Liu,

et al. 2024

Intl J Gynecology & Obste

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ObjectiveThis study aims to construct and evaluate a model to predict spontaneous vaginal delivery (SVD) failure in term nulliparous women based on machine learning algorithms.MethodsIn this retrospective observational study, data on nulliparous women without contraindications for vaginal delivery with a singleton pregnancy ≥37 weeks and before the onset of labor from September 2020 to September 2021 were divided into a training set and a temporal validation set. Transperineal ultrasound was performed to collect angle of progression, head–perineum distance, subpubic arch angle, and their levator hiatal dimensions. The cervical length was measured via transvaginal ultrasound. The delivery methods were later recorded. Through LASSO regression analysis, indicators that can affect SVD failure were selected. Seven common machine learning algorithms were selected for model training, and the optimal algorithm was selected based on the area under the curve (AUC) to evaluate the effectiveness of the validation model.ResultsFour indicators related to SVD failure were identified through LASSO regression screening: angle of progression, cervical length, subpubic arch angle, and estimated fetal weight. The Gaussian NB algorithm was found to yield the highest AUC (0.82, 95% confidence interval [CI] 0.65–0.98) during model training, and hence it was chosen for verification with the temporal validation set, in which an AUC of 0.79 (95% CI 0.64–0.95) was obtained with accuracy, sensitivity, and specificity rates of 80.9%, 72.7%, and 75.0%, respectively.ConclusionThe Gaussian NB model showed good predictive effect, proving its potential as a clinical reference for predicting SVD failure of term nulliparous women before actual delivery.

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Comparison of the Bishop score, body mass index and transvaginal cervical length in predicting the success of labor induction

Abstract: Body mass index and transvaginal cervical length were better predictors compared to the Bishop score in determining the success of labor induction.

Cited by 41 publications

References 28 publications

Factors Affecting Labor Induction in Late-Term Pregnancies

Factors Affecting Labor Induction in Late-Term Pregnancies

Avaliação do colo uterino pela ultrassonografia transvaginal para predição do sucesso da indução do parto

A machine learning model to predict spontaneous vaginal delivery failure for term nulliparous women: An observational study

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