Development and validation of a nomogram model for predicting the risk of failed manual reduction in distal radius fractures - Takeaways - MDSpire

Development and validation of a nomogram model for predicting the risk of failed manual reduction in distal radius fractures

  • By

  • Mingyue Fan

  • Binbin Gu

  • June 11, 2026

  • 0 min

Share

  • 1

    A nomogram was developed to predict the risk of failed manual reduction in distal radius fractures using data from 822 patients.

  • 2

    Eight independent risk factors were identified, including AO classification, swelling severity, and time from injury to reduction.

  • 3

    The nomogram demonstrated high predictive accuracy with an AUC of 0.878, sensitivity of 75.4%, and specificity of 82.5%.

  • 4

    Internal validation of the nomogram showed good agreement between predicted and observed probabilities with a mean absolute error of 0.005.

  • 5

    The study highlights the importance of identifying factors contributing to manual reduction failure to guide personalized treatment strategies.

Original Source(s)

Development and validation of a nomogram model for predicting the risk of failed manual reduction in distal radius fractures

  • by Mingyue Fan, Binbin Gu

  • June 11, 2026

Related Content

Evaluating the reliability and quality of osteoporosis content on TikTok and BiliBili: A cross-sectional content analysis

The clinical efficacy analysis of ultrasound-assisted minimally invasive treatment for Jakob Type II humeral lateral condyle fractures in children

Postoperative Step Counts Tied to Surgical Recovery

Wearable-measured mobility—but not heart rate variability or wellness scores—was associated with length of stay, complications, and readmissions