ArticleInternational journal of clinical oncology2021
Nomograms predict survival of patients with small bowel adenocarcinoma: a SEER-based study.
Article in International journal of clinical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Progress of the application clinical prediction model in polycystic ovary syndrome.Journal of ovarian research · 2023Pooled it
- Metabolic and endometrial ultrasonographic factors associated with clinical pregnancy in PCOS patients undergoing FET: a nomogram development study with internal validation.Frontiers in endocrinology · 2026Article
- Development and validation of a nomogram for predicting cancer-specific survival in small-bowel adenocarcinoma patients using the SEER database.World journal of surgical oncology · 2024Article
- Clinicopathological Characteristics, Treatment and Prognosis in Duodenal Adenocarcinoma with Liver Metastasis: A SEER-Based Study.Clinical and experimental gastroenterology · 2024Article
- Prediction of distant metastasis and specific survival prediction of small intestine cancer patients with metastasis: A population-based study.Cancer medicine · 2023Article
- Incidence and risk factors of cardiovascular mortality in patients with gastrointestinal adenocarcinoma.PloS one · 2023Article
- Clinicopathological characteristics and prognostic factors of elderly small intestine adenocarcinoma using propensity score matching analysis: a study based on SEER database.International journal of colorectal disease · 2022Article
- Review
- Article
- Development of a Deep Learning Model for Malignant Small Bowel Tumors Survival: A SEER-Based Study.Diagnostics (Basel, Switzerland) · 2022Article
- Metastasis Pattern and Survival Analysis in Primary Small Bowel Adenocarcinoma: A SEER-Based Study.Frontiers in surgery · 2021Article
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Abstract
BACKGROUND AND
objectiveSmall bowel adenocarcinoma (SBA) is a rare malignant tumor with a poor prognosis. Most patients with SBA are diagnosed with advanced-stage disease. Due to the lack of randomized controlled trials and prospective studies, it is difficult to predict the prognosis of patients with SBA. Thus, this study aimed to establish a prognostic nomogram for evaluating the prognosis of SBA patients.
methodsThe clinical features and follow-up data of all patients diagnosed with SBA during 2004-2016 were summarized from the Surveillance, Epidemiology, and End Results (SEER) database. We separated these patients into training and validation groups. Multivariate Cox regression analyses were performed to identify independent prognostic variables for predicting cancer-specific survival (CSS) and overall survival (OS). According to the independent risk factors, we established nomograms and used the calibration curves to evaluate the accuracy.
resultsThe data of 3301 patients with SBA were collected from the SEER database. The multivariate analysis showed that age, marital status, tumor site, grade, TNM stage and surgical history were associated with CSS and OS (P < 0.05). Based on these results, we established nomograms of CSS and OS that can predict the 3- and 5-year survival rates of SBA patients (C-index > 0.7). The calibration curves showed that the predicted survival was very close to the actual survival.
conclusionWe analyzed the independent risk factors for prognosis of SBA patients, and established nomograms to predict the 3- and 5-year survival rates of OS and CSS. These new prognostic tools can help clinicians to predict the survival of patients with SBA, further to guide treatment strategy.
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