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Dataset Information

Nomograms for predicting the prognosis in multiple primary esophageal squamous cell carcinoma.


ABSTRACT:

Background

Due to its rarity, it is challenging to predict the survival of patients with synchronous multiple primary esophageal squamous carcinomas (SMPESCs). We aimed to construct nomograms to predict survival outcomes and help to make therapeutic strategy for patients with SMPESCs.

Materials and methods

The clinical and survival data of 135 patients with SMPESCs were analyzed retrospectively. Univariate and multivariate Cox analyses were used to identify independent prognostic factors. Nomograms were constructed to predict 1-year, 3-year and 5-year disease-free survival (DFS) and overall survival (OS). In addition, we further evaluated the effect of postoperative adjuvant therapy on SMPESCs patients with lymph node metastasis.

Results

In univariate and multivariate

SUBMITTER: Wang K 

PROVIDER: S-EPMC11616740 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature