ArticleInternational journal of women's health2026
Nomogram Predicting Intrapartum Cesarean Delivery in Singleton Pregnancies at Term: A Prospective Observational Study Utilizing an Ultrasound-Based System.
Article in International journal of women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The objective of this study was to develop and validate a nomogram designed to predict the likelihood of intrapartum cesarean delivery in singleton pregnancies at term, utilizing an ultrasound-based system. Patients and Methods: This prospective study involved women who gave birth at Hangzhou Women's Hospital from August 2022 to March 2024. The study recruited pregnant women who were in a cephalic position, had singleton pregnancies at term (37+0 to 41+6 weeks), and expressed a preference for vaginal delivery. The LaborPro system was employed to perform infrapubic ultrasound imaging and to assess fetal head positioning. A nomogram was generated through multivariate logistic regression analysis, incorporating various maternal, fetal, and pregnancy-related characteristics. The predictive accuracy and discriminative capacity of the nomogram underwent internal validation via 1000-bootstrap resampling. A decision curve analysis was performed to determine a net-benefit threshold for the predictive model. Results: A total of 705 women were included, with an observed intrapartum cesarean delivery rate of 13.6%. The logistic regression analysis identified six significant predictors of intrapartum cesarean delivery: maternal height, parity, onset of labor, interspinous diameter, fetal position and estimated fetal weight. Following bootstrap resampling for internal validation, the nomogram demonstrated good calibration, achieving an area under the curve of 0.77 (95% confidence interval, 0.72-0.82). In the induction of labor subgroup, the inclusion of the Bishop score significantly enhanced predictive performance, outperforming existing clinical models (P < 0.001). Decision curve analysis indicated a substantial net benefit across a wide threshold range (0.1-0.7), supporting its utility in shared decision-making. Conclusion: The LaborPro-based nomogram provides a validated, objective tool for individualized ICS risk stratification. The integration of internal pelvic dimensions with traditional cervical assessments offers superior predictive accuracy, particularly for women undergoing induction. Future multi-center studies are warranted to externally validate these findings across diverse populations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.