Determining the Length of Posttherapeutic Follow-up for Cancer Patients Using Competing Risks Modeling

2013 ◽  
Vol 34 (2) ◽  
pp. 168-179 ◽  
Author(s):  
Serge M. A. Somda ◽  
Eve Leconte ◽  
Andrew Kramar ◽  
Nicolas Penel ◽  
Christine Chevreau ◽  
...  
2004 ◽  
Vol 171 (4S) ◽  
pp. 194-195
Author(s):  
Kyoichi Tomita ◽  
Haruki Kume ◽  
Keishi Kashibuchi ◽  
Satoru Muto ◽  
Shigeo Horie ◽  
...  

2020 ◽  
Vol 16 (32) ◽  
pp. 2635-2643
Author(s):  
Samantha L Freije ◽  
Jordan A Holmes ◽  
Saleh Rachidi ◽  
Susannah G Ellsworth ◽  
Richard C Zellars ◽  
...  

Aim: To identify demographic predictors of patients who miss oncology follow-up, considering that missed follow-up has not been well studies in cancer patients. Methods: Patients with solid tumors diagnosed from 2007 to 2016 were analyzed (n = 16,080). Univariate and multivariable logistic regression models were constructed to examine predictors of missed follow-up. Results: Our study revealed that 21.2% of patients missed ≥1 follow-up appointment. African–American race (odds ratio [OR] 1.33; 95% CI: 1.17–1.51), Medicaid insurance (OR 1.59; 1.36–1.87), no insurance (OR 1.66; 1.32–2.10) and rural residence (OR 1.78; 1.49–2.13) were associated with missed follow-up. Conclusion: Many cancer patients miss follow-up, and inadequate follow-up may influence cancer outcomes. Further research is needed on how to address disparities in follow-up care in high-risk patients.


Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2632
Author(s):  
Aparajita Budithi ◽  
Sumeyye Su ◽  
Arkadz Kirshtein ◽  
Leili Shahriyari

Many colon cancer patients show resistance to their treatments. Therefore, it is important to consider unique characteristic of each tumor to find the best treatment options for each patient. In this study, we develop a data driven mathematical model for interaction between the tumor microenvironment and FOLFIRI drug agents in colon cancer. Patients are divided into five distinct clusters based on their estimated immune cell fractions obtained from their primary tumors’ gene expression data. We then analyze the effects of drugs on cancer cells and immune cells in each group, and we observe different responses to the FOLFIRI drugs between patients in different immune groups. For instance, patients in cluster 3 with the highest T-reg/T-helper ratio respond better to the FOLFIRI treatment, while patients in cluster 2 with the lowest T-reg/T-helper ratio resist the treatment. Moreover, we use ROC curve to validate the model using the tumor status of the patients at their follow up, and the model predicts well for the earlier follow up days.


Author(s):  
Alessandro Squizzato ◽  
Silvia Galliazzo ◽  
Elena Rancan ◽  
Marina Di Pilla ◽  
Giorgia Micucci ◽  
...  

AbstractOptimal management of venous thromboembolism (VTE) in cancer patients with thrombocytopenia is uncertain. We described current management and clinical outcomes of these patients. We retrospectively included a cohort of cancer patients with acute VTE and concomitant mild (platelet count 100,000–150,000/mm3), moderate (50,000–99,000/mm3), or severe thrombocytopenia (< 50,000/mm3). Univariate and multivariate logistic regression analyses explored the association between different therapeutic strategies and thrombocytopenia. The incidence of VTE and bleeding complications was collected at a 3-month follow-up. A total of 194 patients of whom 122 (62.89%) had mild, 51 (26.29%) moderate, and 22 (11.34%) severe thrombocytopenia were involved. At VTE diagnosis, a full therapeutic dose of LMWH was administered in 79.3, 62.8 and 4.6% of patients, respectively. Moderate (OR 0.30; 95% CI 0.12–0.75), severe thrombocytopenia (OR 0.01; 95% CI 0.00–0.08), and the presence of cerebral metastasis (OR 0.06; 95% CI 0.01–0.30) were independently associated with the prescription of subtherapeutic LMWH doses. Symptomatic VTE (OR 4.46; 95% CI 1.85–10.80) and pulmonary embolism (OR 2.76; 95% CI 1.09–6.94) were associated with the prescription of full therapeutic LMWH doses. Three-month incidence of VTE was 3.9% (95% CI 1.3–10.1), 8.5% (95% CI 2.8–21.3), 0% (95% CI 0.0–20.0) in patients with mild, moderate, and severe thrombocytopenia, respectively. The corresponding values for major bleeding and mortality were 1.9% (95% CI 0.3–7.4), 6.4% (95% CI 1.7–18.6), 0% (95% CI 0.0–20.0) and 9.6% (95% CI 5.0–17.4), 48.2% (95% CI 16.1–42.9), 20% (95% CI 6.6–44.3). In the absence of sound evidence, anticoagulation strategy of VTE in cancer patients with thrombocytopenia was tailored on an individual basis, taking into account not only the platelet count but also VTE presentation and the presence of cerebral metastasis.


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