A nomogram for prediction of stage III/IV gastric cancer outcome after surgery: A multicenter population‐based study. (15th June 2020)
- Record Type:
- Journal Article
- Title:
- A nomogram for prediction of stage III/IV gastric cancer outcome after surgery: A multicenter population‐based study. (15th June 2020)
- Main Title:
- A nomogram for prediction of stage III/IV gastric cancer outcome after surgery: A multicenter population‐based study
- Authors:
- Gao, Zhiying
Ni, Jing
Ding, Hui
Yan, Caiwang
Ren, Chuanli
Li, Gang
Pan, Feng
Jin, Guangfu - Abstract:
- Abstract: Most patients with gastric cancer (GC) are first diagnosed at stage III‐IV and surgery resection remains the primary therapeutic modality for these patients. However, clinical staging used for prediction of those patients provides limited information. We collected clinicopathological data and disease‐progression information from 508 patients with stage III‐IV GC at three Chinese hospitals and 1298 patients from the Surveillance, Epidemiology, and End Results database. Based on the stepwise multivariate regression model, we constructed a novel nomogram to predict overall survival (OS). The performance of discrimination for this model was measured using Harrell's concordance index (C‐index) and receiver‐operating characteristic curve (ROC), and was validated using calibration plots. Multivariate Cox regression analyses showed that tumor size, age at diagnosis, N stage, tumor grade, and distant metastases were outstanding independent prognostic factors of stage III‐IV GC. We developed a nomogram based on these five prognostic predictors. In the training set, the C‐index of the nomogram was 0.645 (95% CI: 0.611‐0.679), which was higher than that of the American Joint Committee on Cancer TNM system alone (sixth TNM: 0.544; seventh TNM: 0.575; eighth TNM: 0.568). Similar results were observed in validation cohort. Moreover, calibration blots demonstrated good consistency between the actual and predicted OS probabilities. According to the nomogram, GC individuals could beAbstract: Most patients with gastric cancer (GC) are first diagnosed at stage III‐IV and surgery resection remains the primary therapeutic modality for these patients. However, clinical staging used for prediction of those patients provides limited information. We collected clinicopathological data and disease‐progression information from 508 patients with stage III‐IV GC at three Chinese hospitals and 1298 patients from the Surveillance, Epidemiology, and End Results database. Based on the stepwise multivariate regression model, we constructed a novel nomogram to predict overall survival (OS). The performance of discrimination for this model was measured using Harrell's concordance index (C‐index) and receiver‐operating characteristic curve (ROC), and was validated using calibration plots. Multivariate Cox regression analyses showed that tumor size, age at diagnosis, N stage, tumor grade, and distant metastases were outstanding independent prognostic factors of stage III‐IV GC. We developed a nomogram based on these five prognostic predictors. In the training set, the C‐index of the nomogram was 0.645 (95% CI: 0.611‐0.679), which was higher than that of the American Joint Committee on Cancer TNM system alone (sixth TNM: 0.544; seventh TNM: 0.575; eighth TNM: 0.568). Similar results were observed in validation cohort. Moreover, calibration blots demonstrated good consistency between the actual and predicted OS probabilities. According to the nomogram, GC individuals could be classified into three groups (low‐, middle‐, and high‐risk) ( P < .001). Our nomogram complements the current staging system for prediction of individual prognosis with stage III‐IV GC, and may be helpful for making individualized treatment decisions. Abstract : We developed a nomogram for outcome of stage III/IV gastric cancer after surgery based on patients at three Chinese hospitals and SEER database for external validation. This nomogram can complement the current staging system which may benefit individualized treatment decisions. … (more)
- Is Part Of:
- Cancer medicine. Volume 9:Number 15(2020)
- Journal:
- Cancer medicine
- Issue:
- Volume 9:Number 15(2020)
- Issue Display:
- Volume 9, Issue 15 (2020)
- Year:
- 2020
- Volume:
- 9
- Issue:
- 15
- Issue Sort Value:
- 2020-0009-0015-0000
- Page Start:
- 5490
- Page End:
- 5499
- Publication Date:
- 2020-06-15
- Subjects:
- nomogram -- prognosis -- SEER database -- stomach neoplasm
616.994005 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2045-7634 ↗ - DOI:
- 10.1002/cam4.3215 ↗
- Languages:
- English
- ISSNs:
- 2045-7634
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
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