ArticleWorld journal of clinical cases2019
Nomograms for pre- and postoperative prediction of long-term survival among proximal gastric cancer patients: A large-scale, single-center retrospective study.
Article in World journal of clinical cases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Prediction of lymphovascular invasion of gastric cancer based on contrast-enhanced computed tomography radiomics.Frontiers in oncology · 2024Article
- Development of a well-defined tool to predict the overall survival in lung cancer patients: an African based cohort.BMC cancer · 2023Article
- Prediction Model for Screening Patients at Risk of Malnutrition After Gastric Cancer Surgery.Annals of surgical oncology · 2021Article
- Establishment and validation of a nomogram to predict the risk of ovarian metastasis in gastric cancer: Based on a large cohort.World journal of clinical cases · 2020Article
- Low level of serum high-density lipoprotein cholesterol in gastric cancer correlates with cancer progression but not survival.Translational cancer research · 2020Article
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe incidence of proximal gastric cancer (GC) is increasing, and methods for the prediction of the long-term survival of proximal GC patients have not been well established.
aimTo develop nomograms for the prediction of long-term survival among proximal GC patients.
methodsBetween January 2007 and June 2013, we prospectively collected and retrospectively analyzed the medical records of 746 patients with proximal GC, who were divided into a training set (
resultsAmong the 746 patients examined, the 3- and 5-year OS rates were 66.1% and 58.4%, respectively. In the training set, preoperative T stage (cT), N stage (cN), CA19-9, tumor size, ASA core, and 3- to 6-mo weight loss were incorporated into the preoperative nomogram to predict the OS. In addition to these variables, lymphatic vascular infiltration (LVI), postoperative tumor size, T stage, N stage, blood transfusions, and complications were incorporated into the postoperative nomogram. All calibration curves used to determine the OS probability fit well. In the training set, the preoperative nomogram achieved a C-index of 0.751 [95% confidence interval (CI): 0.732-0.770] in predicting OS and accurately stratified the patients into four prognostic subgroups (5-year OS rates: 86.8%, 73.0%, 43.72%, and 20.9%,
conclusionThe nomograms accurately predicted the pre- and postoperative long-term survival of proximal GC patients.
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