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

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Clinical Scorecard: Creation and assessment of a nomogram for forecasting the likelihood of unsuccessful manual reduction in distal radius fractures

At a Glance

CategoryDetail
Condition
Key MechanismsPredictive model for risk of failed manual reduction based on independent risk factors. [Cite source]
Target Population
Care Setting

Key Highlights

  • Developed a nomogram model for predicting failed manual reduction in DRF.
  • Incorporated eight independent risk factors into the predictive model.
  • Achieved an AUC of 0.878 with a sensitivity of 75.4% and specificity of 82.5%.
  • Calibration curve showed good agreement between predicted and observed probabilities.

Guideline-Based Recommendations

Diagnosis

    Management

    • Manual reduction followed by digital radiography imaging. [Cite source]
    • Surgical intervention if operative criteria are met. [Cite source]

    Monitoring & Follow-up

      Risks

        Patient & Prescribing Data

        822 patients with closed distal radius fractures.

        Standardized cast immobilization applied post-reduction.

        Clinical Best Practices

          Related Resources & Content

          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

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