ArticleAfrican health sciences2023
Prediction of recurrence of early gastric carcinoma after endoscopic submucosal dissection.
Article in African health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Application and progress of nomograms in gastric cancer.Frontiers in medicine · 2025Review
- Editor's choice: Covid-19 and HIV are still very much with us.African health sciences · 2023Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The aim of this retrospective study was to predict the post-endoscopic submucosal dissection (ESD) recurrence risk of early gastric carcinoma (EGC) using a nomogram model, and to provide valuable evidence for preventing the recurrence. Methods: The patients with EGC receiving ESD between March 2010 and February 2018 were enrolled. They were followed up once every three months after ESD. At the end of follow-up, they were assigned into recurrence and non-recurrence groups. The independent risk factors for post-ESD recurrence were identified using Cox regression analysis. A nomogram prediction model was established, and its predictive efficiency was assessed by plotting receiver operating characteristic (ROC) curve. Results: Conclusion: Positive lymph nodes and HP infection are closely correlated with the recurrence risk after ESD in EGC patients. The established model is a quantitative tool for predicting recurrence to improve the prognosis.
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