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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Surgical ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Surgical Oncology
Article . 2020 . Peer-reviewed
License: Wiley Online Library User Agreement
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Predictors of lymph node metastases in patients with mucinous appendiceal adenocarcinoma

Authors: Adrienne B. Shannon; Drew Goldberg; Yun Song; Emily C. Paulson; Robert E. Roses; Douglas L. Fraker; Rachel R. Kelz; +2 Authors

Predictors of lymph node metastases in patients with mucinous appendiceal adenocarcinoma

Abstract

AbstractBackgroundLymph node metastasis (LN+) is a prognostic factor in appendiceal cancers, but predictors and outcomes for LN+ in mucinous appendiceal adenocarcinoma (MAC) remain poorly defined.MethodsPatients were identified from the 2010 to 2016 NCDB who underwent surgical resection as first‐line management for Stage I‐III mucinous appendiceal cancer. A LN+ risk‐score model was developed using multivariable regression on a training data set and internally validated using a testing data set. Three‐year overall survival (OS) was analyzed by Cox proportional hazards regression.ResultsOf 1158 patients, LN+ (N = 244, 21.1%) patients were more likely to have higher pT group and grade of disease, lymphovascular invasion (LVI), and positive margins on univariate analyses. Predictive factors associated with LN+ on multivariable analysis included positive surgical margins (odds ratio [OR] 3.00, P <.0001), higher grade (moderately differentiated: OR, 2.16, P < .0001; poorly or undifferentiated: OR, 3.07, P < .0001), and LVI (OR, 7.28, P < .0001). A validated risk‐score model using these factors was developed with good performance (AUC 0.749). LN+ patients had a worse 3‐year OS compared with LN− patients (17.4% vs 82.6%, hazard ratio 1.96, P = .001).ConclusionsLN+ is associated with worse survival in patients with MAC. A risk‐score model using margin status, LVI, and grade can accurately risk stratify patients for LN+.

Keywords

Male, Models, Statistical, Databases, Factual, Kaplan-Meier Estimate, Middle Aged, Prognosis, Adenocarcinoma, Mucinous, Appendiceal Neoplasms, Lymphatic Metastasis, Humans, Regression Analysis, Female, Lymph Nodes, Neoplasm Staging, Proportional Hazards Models, Retrospective Studies

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
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