Establishment and external validation of prognosis prediction nomogram for patients with distant metastatic intrahepatic cholangiocarcinoma: based on a large population
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Summary
This summary is machine-generated.This study developed a nomogram to predict prognosis for patients with intrahepatic cholangiocarcinoma (ICC) and distant metastasis (DM). The nomogram demonstrated good accuracy and clinical applicability, aiding in improving patient outcomes.
Area Of Science
- Oncology
- Medical Statistics
Background
- Intrahepatic cholangiocarcinoma (ICC) frequently presents with distant metastasis (DM) at diagnosis.
- Predictive models for ICC with DM prognosis are scarce.
Purpose Of The Study
- To develop and validate a nomogram for predicting the prognosis of patients with intrahepatic cholangiocarcinoma and distant metastasis.
- To identify independent prognostic factors for improved patient outcome prediction.
Main Methods
- Retrospective analysis of 572 ICC with DM patients from the SEER database (2005-2019) and 32 from a single institution (2014-2019).
- Data split into training (70%) and validation (30%) cohorts.
- Nomogram construction using Cox regression; validation via ROC curves, calibration plots, and decision curve analysis (DCA).
Main Results
- Age, surgery, radiotherapy, and chemotherapy identified as independent prognostic factors.
- Established nomogram showed good predictive accuracy: AUCs for 3, 6, 9-month survival were 0.866, 0.841, and 0.786, respectively.
- Calibration curves and DCA confirmed the nomogram's predictive accuracy and clinical utility.
Conclusions
- The developed nomogram accurately predicts prognosis for patients with distant metastatic intrahepatic cholangiocarcinoma (DM-ICC).
- This tool holds significant potential for improving the clinical management and outcomes of DM-ICC patients.

