Identifying risk and prognostic factors for synchronous liver metastasis in small bowel adenocarcinoma: a predictive analysis using the SEER database
Duogang Xu, Yulei He, Changkang Liao, Jing Tan

TL;DR
This study identifies risk factors for liver metastasis in small bowel adenocarcinoma and develops a predictive tool to improve patient outcomes.
Contribution
A novel nomogram is developed to predict synchronous liver metastasis in small bowel adenocarcinoma patients.
Findings
Six independent risk factors for liver metastasis were identified, including tumor location and stage.
The nomogram showed strong predictive performance with an AUC of 83.8%.
Patients with liver metastasis had significantly lower survival rates compared to those without.
Abstract
Small bowel adenocarcinoma (SBA) is a rare gastrointestinal malignancy with an increasing incidence and a high propensity for liver metastasis (LM). This study aimed to investigate the risk factors for synchronous LM and prognostic factors in patients with LM. Utilizing the Surveillance, Epidemiology, and End Results (SEER) database, this study analyzed data from 2,064 patients diagnosed with SBA between 2010 and 2020. Logistic regression was used to determine risk factors for synchronous LM. A nomogram was developed to predict the risk of LM in SBA patients, and its predictive performance was assessed through receiver operating characteristic (ROC) curves and calibration curves. Kaplan-Meier and Cox regression analyses were conducted to evaluate survival outcomes for SBA patients with LM. Synchronous LM was present in 13.4% of SBA patients (n = 276). Six independent predictive…
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Taxonomy
TopicsGastrointestinal Tumor Research and Treatment · Gastric Cancer Management and Outcomes · Cholangiocarcinoma and Gallbladder Cancer Studies
