ArticleAnnals of surgery2005
Prediction of recurrence after radical surgery for gastric cancer: a scoring system obtained from a prospective multicenter study.
Article in Annals of surgery, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 4 of them syntheses that pooled it.
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Who cites it
98 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Prevalence of nodal metastases in the individual lymph node stations for different T-stages in gastric cancer: a systematic review.Updates in surgery · 2023Pooled it
- Prognostic value of serum alpha-fetoprotein levels in patients with gastric cancer: a meta-analysis.The Journal of international medical research · 2020Pooled it
- Prediction models for patients with esophageal or gastric cancer: A systematic review and meta-analysis.PloS one · 2018Pooled it
- A systematic review of patient surveillance after curative gastrectomy for gastric cancer: a brief review.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2012Pooled it
- A nomogram for predicting individual survival of patients with gastric cancer who underwent radical surgery with extended lymph node dissection.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2014Trial
- Targeting CDH17 suppresses tumor progression in gastric cancer by downregulating Wnt/β-catenin signaling.PloS one · 2013Trial
- Rationale for gastrectomy with D2 lymphadenectomy in the treatment of gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2008Trial
- Clinicopathologic features and prognostic impact of late recurrence after gastrectomy for gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026Article
- Beyond tumor mutation burden: tumor neoantigen burden as a superior prognostic biomarker in resected gastric cancer.Frontiers in immunology · 2025Article
- Dronedarone hydrochloride inhibits gastric cancer proliferation in vitro and in vivo by targeting SRC.Translational oncology · 2024Article
- Serum NY-ESO-1 antibody as a predictive biomarker for postoperative recurrence of gastric cancer: a multicenter prospective observational study.British journal of cancer · 2024Observational
- Machine learning methods predict recurrence of pN3b gastric cancer after radical resection.Translational cancer research · 2024Article
- Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrence.Nature communications · 2024Article
- Applying machine learning techniques to predict the risk of distant metastasis from gastric cancer: a real world retrospective study.Frontiers in oncology · 2024Article
- Circulating tumor cells in gastric cancer: developments and clinical applications.Clinical and experimental medicine · 2023Review
- A liquid biopsy signature for predicting early recurrence in patients with gastric cancer.British journal of cancer · 2023Article
- Fatty Acid Binding Protein 5 (FABP5) Promotes Aggressiveness of Gastric Cancer Through Modulation of Tumor Immunity.Journal of gastric cancer · 2023Article
- Very Early Recurrence After Curative-Intent Surgery for Gastric Adenocarcinoma.Annals of surgical oncology · 2022Article
- Prediction of Metachronous Peritoneal Metastases After Radical Surgery for Colon Cancer: A Scoring System Obtained from an International Multicenter Cohort.Annals of surgical oncology · 2022Article
- Effects of plant-based medicinal food on postoperative recurrence and lung metastasis of gastric cancer regulated by Wnt/β-catenin-EMT signaling pathway and VEGF-C/D-VEGFR-3 cascade in a mouse model.BMC complementary medicine and therapies · 2022Article
38 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aim of this prospective multicenter study was to define a scoring system for the prediction of tumor recurrence after potentially curative surgery for gastric cancer. SUMMARY BACKGROUND DATA: The estimation of the risk of recurrence in individual patient may be relevant in clinical practice, to apply adjuvant therapies after surgery, and plan an adequate follow-up program. Only a few studies, most of which were retrospective or performed on a limited number of patients, have developed a prognostic score in patients with gastric cancer.
methodsA total of 536 patients who underwent UICC R0 resection between 1988 and 1998 at 3 surgical departments in Italy were considered. All patients were followed up using a standard protocol after discharge from the hospital. The mean follow-up period was 56 +/- 44 months, and 94 +/- 29 months for surviving patients. The scoring system was calculated on the basis of a logistic regression model, where the presence of the recurrence was the dependent variable, and clinicopathologic variables were the covariates.
resultsRecurrence occurred in 272 of 536 patients (50.7%). The scoring system for the prediction of the risk in individual cases gave values ranging from 1.4 to 99.9; the model distributed most cases in the extremes of the range. The risk of recurrence increased remarkably with score values; it was only 5% in patients with a score below 10, up to 95.4% in patients with a score of 91 to 100. No recurrence was observed in 43 patients with a score below 4, whereas all of the 56 patients with a score over 97 presented a recurrence. The model correctly predicted recurrence in 227 of 272 patients (sensitivity, 83.5%), whereas the absence of recurrence was correctly predicted in 214 of 264 patients (specificity, 81.1%); the overall accuracy was 82.2%. Prognostic score was clearly superior to UICC tumor stage in predicting recurrence. The high effectiveness of the score was confirmed in preliminary data of a validation study.
conclusionsThe scoring system obtained with a regression model on the basis of our follow-up data is useful for defining subgroups of patients at a very low or very high risk of tumor recurrence after radical surgery for gastric cancer. Final results of the validation study are essential for a clinical application of the model.
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