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Related Experiment Video

Updated: Oct 21, 2025

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Nomogram to Predict Incomplete Cytoreduction for Pseudomyxoma Peritonei.

Mingjian Bai1,2,3, Shilong Wang4, Guowei Liang5

  • 1Clinical Laboratory Medicine, Peking University Ninth School of Clinical Medicine, Beijing, China.

Annals of Surgical Oncology
|September 4, 2021
PubMed
Summary

This study developed a nomogram to predict incomplete cytoreduction (IC) in pseudomyxoma peritonei (PMP) patients. The tool accurately identifies individuals at high risk, aiding in preoperative planning for better surgical outcomes.

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Area of Science:

  • Oncology
  • Surgical Oncology
  • Medical Informatics

Background:

  • Completeness of cytoreduction is a critical prognostic factor for pseudomyxoma peritonei (PMP) patients.
  • No existing nomograms predict incomplete cytoreduction (IC) in PMP.
  • Accurate prediction of IC is crucial for optimizing patient management.

Purpose of the Study:

  • To develop and validate a nomogram for predicting the risk of incomplete cytoreduction (IC) in PMP patients.
  • To provide a tool for individual risk stratification and preoperative planning.

Main Methods:

  • Retrospective analysis of 144 PMP patients undergoing cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC).
  • Logistic regression modeling identified predictors of IC.
  • A nomogram was developed based on multivariate analysis and internally validated.

Main Results:

  • Four independent predictors of IC were identified: sex, disease duration, anemia, and carbohydrate antigen 19-9 (CA 199).
  • The developed nomogram demonstrated good predictive accuracy (C-index = 0.837).
  • Calibration plots confirmed close agreement between predicted and observed outcomes.

Conclusions:

  • A validated nomogram can effectively predict IC in PMP patients.
  • This tool aids in risk stratification, optimizing preoperative planning for PMP management.
  • The nomogram supports personalized treatment strategies for PMP.