Complications risk assessment for esophageal stent positioning

Authors

  • Lorenzo Fuccio Alma Mater Studiorum - Università di Bologna
  • Michele Scagliarini Alma Mater Studiorum - Università di Bologna
  • Giorgio Battaglia Veneto Oncological Institute

DOI:

https://doi.org/10.6092/issn.1973-2201/5309

Keywords:

Logistic regression, Risk assessment, Esophageal stent, Nomogram, Prognostic rule

Abstract

Self-expanding metal stent positioning is the recommended method for palliation of dysphagia due to esophageal cancer, although it is not free from complications. In this work we identify predictor variables for quantifying the risk of stent-related complications. The results, based on a multivariate logistic regression, would allow clinicians to stratify patients according to the risk of developing complications in such a way to design the most suitable palliative treatments.

References

A. AGRESTI (2002). Categorical Data Analysis, 2nd edn. Wiley, Hoboken.

ASGE, American Society for Gastrointestinal Endoscopy, Standards of Practice Committee (2013). The role of endoscopy in the assessment and treatment of esophageal cancer. Gastrointestinal Endoscopy, 77,pp.328-334.

P. DIDDEN, M.C. SPAANDER, E.J. KUIPERS, M.J. BRUNO (2012). Safety of stent placement

in recurrent or persistent esophageal cancer after definitive chemoradiotherapy: a case series. Gastrointestinal Endoscopy,76, pp.426-30.

J. FERLAY, I. SOERJOMATARAM, M. ERVIK, R. DIKSHIT, S. ESER, C. MATHERS, M. REBELO, D.M.PARKIN, D. FORMAN, F. BRAY (2013). GLOBOCAN 2012 v1.0, Cancer

Incidence and Mortality Worldwide: IARC CancerBase No. 11, International

Agency for Research on Cancer, Lyon, France.

P. GREENLAND, L. LABREE, S.P. AZEN, T.M. DOHERTY, R.C. DETRANO (2004). Coronary artery calcium score combined with Framingham score for risk prediction in asymptomatic individuals. Journal of the American Medical Association, 291, pp.210-215.

F.E.JR HARRELL (2001). Regression Modeling Strategies: with applications to linear models logistic regression and survival analysis, Springer, New York.

F.E.JR HARRELL (2014). rms: Regression Modeling Strategies. R package version 4.1-1. http://CRAN.R-project.org/package=rms.

M.Y. HOMS, B.E. HANSEN, M. VAN BLANKENSTEIN, J HARINGSMA, E.J. KUIPERS, P.D. SIERSEMA (2004). Prior radiation and/or chemotherapy has no effect on the outcome of metal stent placement for oesophagogastric carcinoma. European Journal of Gastroenterology and Hepatology, 16, pp.163-70.

D.W.JR HOSMER, S. LEMESHOW, R.X. STURDIVANT (2013). Applied Logistic Regression 3rd edn. Wiley, Hoboken.

Y. IRAHA, S. MURAYAMA, T. TOITA, T. UTSUNOMIYA, O. NAGATA, T. AKAMINE, K. OGAWA, G. ADACHI, N. TANIGAWA (2006). Self-expandable metallic stent placement for patients with inoperable esophageal carcinoma: investigation of the influence of prior radiotherapy and chemotherapy. Radiation Medicine, 24, pp.247-52.

S. LE CESSIE, J.C. VAN HOUWELINGEN (1991). A Goodness-of-Fit Test for Binary Regression Models, Based on Smoothing Methods. Biometrics, 47, pp.1267-1282.

S. LECLEIRE, F. DI FIORE, E. BEN-SOUSSAN, M. ANTONIETTI, M.F. HELLOT, B. PAILLOT, E. LEREBOURS, P. DUCROTT, P. MICHELE (2006). Prior chemoradiotherapy is associated with a higher life-threatening complication rate after palliative insertion of metal stents in patients with oesophageal cancer. Alimentary Pharmacology and Therapeutics, 23, pp.1693-1702.

R CORE TEAM (2013). R: A Language and Environment for Statistical Computing, R Foundation for Statistical, Vienna, Austria. URL http://www.R-project.org/.

W.A. ROSS, F. ALKASSAB, P.M. LYNCH, G.D. AYERS, J. AJANI, J.H. LEE, M. BISMAR (2007). Evolving role of self-expanding metal stents in the treatment of malignant dysphagia and fistulas. Gastrointestinal Endoscopy, 65, pp.70-76.

R. ROYSTON, D.G. ALTMAN (2010). Visualizing and assessing discrimination in the logistic regression model. Statistics in Medicine, 29, pp.2508-2520.

E.W. STEYERBERG, M.Y. HOMS, A. STOKVIS, M.L. ESSINK-BOT, P.D. SIERSEMA, SIREC STUDY GROUP (2005). Stent placement or brachytherapy for palliation of dysphagia from esophageal cancer: a prognostic model to guide treatment selection. Gastrointestinal Endoscopy, 62, pp.333-40.

E.W. STEYERBERG, A.J. VICKERS, N.R. COOK, T. GERDS, M. GONEN, N. OBUCHOWSKI, M.J. PENCINA, M.W. KATTAN (2010). Assessing the Performance of Prediction Models A Framework for Traditional and Novel Measures. Epidemiology, 21, pp.128-138.

W.J. YOUDEN (1950). Index for rating diagnostic tests. Cancer, 3, pp.32-35.

Downloads

Published

2014-09-30

How to Cite

Fuccio, L., Scagliarini, M., & Battaglia, G. (2014). Complications risk assessment for esophageal stent positioning. Statistica, 74(3), 351–364. https://doi.org/10.6092/issn.1973-2201/5309

Issue

Section

Articles