Incidence of esophageal cancers among oral cavity and pharynx cancer patients: A review of the SEER database (1973-2007).

2011 ◽  
Vol 29 (15_suppl) ◽  
pp. 5545-5545 ◽  
Author(s):  
E. Kim ◽  
N. Chandra ◽  
J. Kim
2007 ◽  
Vol 117 (1) ◽  
pp. 166-171 ◽  
Author(s):  
Shih-An Liu ◽  
Yong-Kie Wong ◽  
Chiu-Kwan Poon ◽  
Chen-Chi Wang ◽  
Ching-Ping Wang ◽  
...  

2018 ◽  
Vol 25 (1) ◽  
pp. 67 ◽  
Author(s):  
N. Mundi ◽  
J. Theurer ◽  
A. Warner ◽  
J. Yoo ◽  
K. Fung ◽  
...  

Background Operating room slowdowns occur at specific intervals in the year as a cost-saving measure. We aim to investigate the impact of these slowdowns on the care of oral cavity cancer patients at a Canadian tertiary care centre.Methods A total of 585 oral cavity cancer patients seen between 1999 and 2015 at the London Health Science Centre (lhsc) Head and Neck Multidisciplinary Clinic were included in this study. Operating room hours and patient load from 2006 to 2014 were calculated. Our primary endpoint was the wait time from consultation to definitive surgery. Exposure variables were defined according to wait time intervals occurring during time periods with reduced operating room hours.Results Overall case volume rose significantly from 2006 to 2014 (p < 0.001), while operating room hours remained stable (p = 0.555). Patient wait times for surgery increased from 16.3 days prior to 2003 to 25.5 days in 2015 (p = 0.008). Significant variability in operating room hours was observed by month, with lowest reported for July and August (p = 0.002). The greater the exposure to these months, the more likely patients were to wait longer than 28 days for surgery (odds ratio per day [or]: 1.07, 95% confidence interval [ci]: 1.05 to 1.10, p < 0.001). Individuals seen in consultation preceding a month with below average operating room hours had a higher risk of disease recurrence and/or death (hazard ratio [hr]: 1.59, 95% ci: 1.10 to 2.30, p = 0.014).Conclusions Scheduled reductions in available operating room hours contribute to prolonged wait times and higher disease recurrence. Further work is needed to identify strategies maximizing efficient use of health care resources without negatively affecting patient outcomes.


2016 ◽  
Vol 274 (1) ◽  
pp. 431-439 ◽  
Author(s):  
Jin-Ching Lin ◽  
Chen-Chi Wang ◽  
Rong-San Jiang ◽  
Wen-Yi Wang ◽  
Shih-An Liu

2019 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Mehrnoush Maheronnaghsh ◽  
Mahnaz Fatahinia ◽  
Parvin Dehghan ◽  
Ali Zarei Mahmoudabadi ◽  
Mahnaz Kheirkhah

2015 ◽  
Vol 114 ◽  
pp. 68
Author(s):  
A. Polyakov ◽  
A. Kaprin ◽  
I. Reshetov ◽  
M. Ratushnyy ◽  
O. Matorin ◽  
...  

2018 ◽  
Vol 36 ◽  
pp. 89-94 ◽  
Author(s):  
Shu-Ching Chen ◽  
Bing-Shen Huang ◽  
Tsung-Min Hung ◽  
Ya-Lan Chang ◽  
Chien-Yu Lin ◽  
...  

2019 ◽  
Vol 8 (14) ◽  
pp. 1167-1172
Author(s):  
Omar Abdel-Rahman ◽  
Winson Y Cheung

Aim: To examine the performance characteristics of alternative criteria for baseline staging, in a cohort of contemporary rectal cancer patients from the Surveillance, Epidemiology and End Results (SEER) database. Methods: The SEER database (2010–2015) was accessed and patients with rectal cancer plus complete information on clinical T and N stages as well as metastatic sites were evaluated. We examined various performance characteristics of baseline imaging, including specificity, sensitivity, number needed to investigate (NNI), positive predictive value (PPV), negative predictive value and accuracy. Results: A total of 15,836 rectal cancer patients were included. Based on current guidelines that suggest cross-sectional chest and abdominal imaging for all cases of invasive rectal cancer, these recommendations would yield a PPV of 11.9% for the detection of liver metastases and 6.2% for the detection of lung metastases. This would translate to an NNI of 8.4 for liver metastases and an NNI of 16.1 for lung metastases. When patients with T1N0 were excluded from routine imaging, this resulted in a PPV of 6.4% and an NNI of 15.6 to identify one case of lung metastasis. Likewise, this resulted in a PPV of 12.3% and an NNI of 8.0 to detect one case of liver metastasis. Similarly, when patients with either T1N0 or T2N0 were excluded from routine imaging, the PPV and NNI for lung metastases improved to 6.6% and 15.1, respectively, and the PPV and NNI for liver metastases improved to 12.6 and 7.9%, respectively. Conclusion: Our study suggests that the specificity of the current imaging approach for rectal cancer staging is limited and that the omission of chest and abdominal imaging among selected early stage asymptomatic cases may be reasonable to consider.


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