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September 10, 2025BMC SurgeryOpen Access

Risk prediction models for complications after flap repair surgery: a systematic review and meta-analysis

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Authors

JYJie YangXQXinya QinLHLili Hou

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Overview

Systematic review evaluates risk prediction models for complications after flap repair, highlighting the need for more validation.

Key Points

  • The area under the receiver operating characteristic curve (AUC) for models ranged from 0.655 to 0.964, indicating variable performance rates.
  • Of the 28 risk prediction models, 16 performed well with an AUC greater than 0.7, making them suitable for clinical use.
  • Independent risk factors identified include body mass index, smoking history, diabetes mellitus, and postoperative infection.
  • The overall high risk of bias in all studies stresses the need for external validation to improve model credibility.

Cite This Study

Yang et al. (2025) studied this question.

synapsesocial.com/papers/68c1d5ef54b1d3bfb60f8ac8https://doi.org/10.1186/s12893-025-03072-8
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Analysis of risk factors for complications after flap reconstruction of head and neck cancer and construction and validation of predictive models2025
  2. 2Diagnostic Accuracy of Artificial Intelligence Models for Predicting Postoperative Complications Following Free Flap Reconstruction: A Systematic Review and Meta‐Analysis2025
  3. 3Preoperative artificial intelligence-based risk model for surgical reintervention after microsurgical free flap reconstruction2026
  4. 4When a Good Flap Turns Bad: A Temporal Predictive Model for Free Flap Complications2024 · 3 citations
  5. 5Preventing Free Flap Complications: Key Factors to Keep in Mind2025 · 2 citations