Related Experiment Video
Updated: Feb 1, 2026

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
Published on: February 23, 2024
Using the Probability of Cesarean from a Validated Cesarean Prediction Calculator to Predict Labor Length and
Rebecca F Hamm1, Katheryne L Downes1, Sindhu K Srinivas1
1Maternal and Child Health Research Center, Department of Obstetrics & Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
Objective:
To determine if increasing predicted risk of cesarean was associated with longer labor length and increased morbidity among women undergoing induction with an unfavorable cervix.
Study Design:
Using a publically available database, we evaluated whether a previously validated prediction model for cesarean delivery after induction was associated with labor length, maternal morbidity (third-/fourth-degree lacerations, endometritis, blood transfusion, wound infection, venous thromboembolism, hysterectomy, intensive care unit admission, and death), and neonatal morbidity (blood transfusion, encephalopathy, intraventricular hemorrhage, severe respiratory distress syndrome, necrotizing enterocolitis, and sepsis). Full-term (≥37 weeks) singleton gestations with intact membranes and an unfavorable cervix (Bishop score ≤6 and dilation ≤2 cm) undergoing induction of labor were included.
Results:
A total of 8,466 women met the inclusion criteria. Each category increase in cesarean probability (<20, 20-39.9, 40-59.9, ≥60%) was associated with an increase in labor length (9.6, 10.8, 11.7, and 11.9 hours, respectively; p < 0.001). With increasing predicted probability of cesarean there, was also a significant increase in maternal morbidity with each category (2.6, 4.7, 5.1, 6.1%; p = 0.001) and increase in neonatal morbidity (0.9, 1.5, 2, 2.2%; p = 0.002).
Conclusion:
Using a validated prediction model for cesarean delivery among women induced with an unfavorable cervix, increasing predicted probability of cesarean is associated with longer labor length and increased maternal and neonatal morbidity.
More Related Videos
Related Concept Videos
Predicting Molecular Geometry
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
End Point Prediction: Gran Plot
For potentiometric titration, the Gran plot is created by plotting...
Sensitivity, Specificity, and Predicted Value
Sensitivity is the...
Predicting Reaction Outcomes
Predicting Products: Substitution vs. Elimination
The following factors can influence the mechanisms competing against each other:

