Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Development and internal validation of a nomogram to predict macrosomia.

C Mazouni1, R Rouzier, R Ledu

  • 1Department of Obstetrics and Gynecology, Marseille Public Hospital System (APHM), Marseille, France. chafika.mazouni@ap-hm.fr

Ultrasound in Obstetrics & Gynecology : the Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology
|April 21, 2007
PubMed
Summary

Related Concept Videos

Dosage Regimen Designs: Nomograms and Tabulations01:23

Dosage Regimen Designs: Nomograms and Tabulations

Nomograms and tabulations are vital tools used by clinicians to design accurate and individualized dosage regimens. These instruments provide a straightforward method for adjusting dosages based on individual patient characteristics, including age, weight, and physiological condition. The foundation of a drug's nomogram is population pharmacokinetic data collected and analyzed using specific models. This data simplifies complex equations, presenting them diagrammatically or tabularly for easy...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Compliance to genomic test recommendations to guide adjuvant chemotherapy decision-making in the case of hormone receptor-positive, human epidermal growth factor receptor 2-negative breast cancer, in real-life settings.

Cancer medicine·2023
Same author

Psychometric properties of the French Hot Flash Related Daily Interference Scale (HFRDIS).

Climacteric : the journal of the International Menopause Society·2022
Same author

Lymphovascular invasion has a significant prognostic impact in patients with early breast cancer, results from a large, national, multicenter, retrospective cohort study.

ESMO open·2021
Same author

[Surgery or not on an atypical breast lesion? Taking anxiety into account in shared decision support from a prospective cohort of 300 patients].

Gynecologie, obstetrique, fertilite & senologie·2021
Same author

HPV ctDNA detection of high-risk HPV types during chemoradiotherapy for locally advanced cervical cancer.

ESMO open·2021
Same author

Lack of prognostic impact of sentinel node micro-metastases in endocrine receptor-positive early breast cancer: results from a large multicenter cohort<sup>☆</sup>.

ESMO open·2021

A new nomogram accurately predicts fetal macrosomia using clinical and ultrasound data. This tool, accessible online, aids healthcare providers in making informed decisions for better patient outcomes.

Area of Science:

  • Obstetrics and Gynecology
  • Medical Imaging
  • Biostatistics

Background:

  • Accurate prediction of fetal macrosomia is crucial for optimizing obstetric management and improving neonatal outcomes.
  • Existing methods for estimating fetal weight, such as sonographic measurements, have limitations in predictive accuracy.

Purpose of the Study:

  • To develop and validate a predictive nomogram for fetal macrosomia incorporating both clinical and ultrasound variables.
  • To create a user-friendly, web-based tool for applying the developed nomogram.

Main Methods:

  • A nomogram was developed using data from 194 women undergoing sonographic fetal weight estimation.
  • Internal validation was performed using 200 bootstrap resamples to assess discrimination and calibration.
  • An Internet-based tool was created for easy access and application of the nomogram.

Related Experiment Videos

Main Results:

  • The developed nomogram demonstrated good predictive performance (Area Under Curve [AUC], 0.860) for macrosomia.
  • The nomogram's accuracy was significantly superior to Hadlock's formula for sonographically estimated fetal weight (AUC, 0.740; P<0.001).
  • Internal validation confirmed the nomogram's robustness and reduced overfit bias.

Conclusions:

  • A novel nomogram effectively predicts the individual probability of fetal macrosomia.
  • The web-based interface facilitates clinical decision-making for healthcare providers and patients regarding macrosomia risk.