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A quantified risk-scoring system and rating model for postsurgical gastroparesis syndrome in gastric cancer patients.
- Source :
-
Journal of surgical oncology [J Surg Oncol] 2017 Sep; Vol. 116 (4), pp. 533-544. Date of Electronic Publication: 2017 Jul 25. - Publication Year :
- 2017
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Abstract
- Background and Objectives: The study aimed to investigate the relationship between obesity and postsurgical gastroparesis syndrome (PGS), and to construct a scoring system and a risk model to identify patients at high risk.<br />Methods: A total of 634 patients were retrospectively analyzed. Clinical characteristics were evaluated via receiver operating characteristic (ROC) curve analysis. Logistic analysis was performed to determine the independent predictive indicators of PGS. A scoring system consisting of these indicators and a risk-rating model were constructed and evaluated via ROC curve analysis.<br />Results: Based on the ROC curves, the visceral fat area (VFA) cutoff value for PGS was 94.00. Logistic analysis showed that visceral obesity (VFA ≥ 94.00 cm <superscript>2</superscript> ), the reconstruction technique, and tumor size were independent prognostic factors for PGS. The scoring system could predict PGS reliably with a high area under the ROC curve ([AUC] = 0.769). A high-risk rating had a high AUC (AUC I = 0.56, AUC II = 0.65, and AUC III = 0.77), indicating that the risk-rating model could effectively screen patients at high risk of PGS.<br />Conclusions: Visceral obesity defined by VFA effectively predicted PGS. Our scoring system may be a reliable instrument for identifying patients most at risk of PGS.<br /> (© 2017 Wiley Periodicals, Inc.)
Details
- Language :
- English
- ISSN :
- 1096-9098
- Volume :
- 116
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Journal of surgical oncology
- Publication Type :
- Academic Journal
- Accession number :
- 28743171
- Full Text :
- https://doi.org/10.1002/jso.24691