Prediction of preoperative peritoneal cancer index for pseudomyxoma peritonei by multiple linear regression analysis
2024

Predicting Peritoneal Cancer Index in Pseudomyxoma Peritonei Patients

Sample size: 372 publication Evidence: moderate

Author Information

Author(s): Bai Mingjian, Feng Jing, Liu Jie, Li Yunxiang, Xu Yueming, Ma Fucun, Ma Ruiqing, Liang Guowei, Liu Xuekai, Zhao Na

Primary Institution: Aerospace Center Hospital, Beijing, China

Hypothesis

Can a predictive model be established to predict the peritoneal cancer index (PCI) preoperatively in patients with pseudomyxoma peritonei (PMP)?

Conclusion

The study developed a multiple linear regression model for predicting PCI in PMP patients, but the model's predictive ability was not sufficient.

Supporting Evidence

  • The model identified six independent predictors of PCI.
  • The R² value of the model was 0.570.
  • The Bland–Altman analysis showed a limit of agreement between predicted and surgical PCI.
  • Male patients had a higher median PCI than female patients.
  • Albumin was the strongest predictor in the model.
  • D-dimer levels were positively correlated with PCI.
  • The model's RMSE was 8.110, indicating limited predictive ability.
  • Internal validation was performed using 10-fold cross-validation.

Takeaway

Doctors tried to create a formula to guess how much cancer is in the belly of patients with a rare condition called pseudomyxoma peritonei, but it didn't work as well as they hoped.

Methodology

The study used multiple linear regression analysis on data from 372 PMP patients to identify predictors of PCI.

Limitations

The model's predictive ability was limited, and it only underwent internal validation without external validation.

Participant Demographics

372 patients (208 male, 164 female) with a mean age of 57.0 years.

Statistical Information

P-Value

p<0.001

Confidence Interval

95% CI: −17.2646 to −14.4292

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3389/fmolb.2024.1512937

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