Faculty Opinions recommendation of Management of stage III colon cancer in the elderly: Practice patterns and outcomes in the general population.

Author(s):  
Maria-José Molina-Garrido
Cancer ◽  
2017 ◽  
Vol 123 (15) ◽  
pp. 2840-2849 ◽  
Author(s):  
Shaila J. Merchant ◽  
Sulaiman Nanji ◽  
Kelly Brennan ◽  
Safiya Karim ◽  
Sunil V. Patel ◽  
...  

2006 ◽  
Vol 24 (15) ◽  
pp. 2368-2375 ◽  
Author(s):  
Alfred I. Neugut ◽  
Matthew Matasar ◽  
Xiaoyan Wang ◽  
Russell McBride ◽  
Judith S. Jacobson ◽  
...  

Purpose In randomized trials, patients with stage III colon cancer who received 6 months of fluorouracil (FU)-based adjuvant chemotherapy had better survival than patients who did not. However, little is known about the predictors of, or the survival associated with, duration of chemotherapy in the community. Patients and Methods The linked Surveillance, Epidemiology, and End Results-Medicare database was used to identify individuals ≥ 65 years of age diagnosed with stage III colon cancer between 1995 and 1999. We used logistic and Cox proportional hazards regression models to analyze factors associated with early discontinuation of FU-based chemotherapy among these elderly colon cancer patients. Results Among 1,722 patients who received 1 to 7 months of FU-based chemotherapy, older age, being unmarried, and having comorbid conditions were associated with receiving less than 5 months of treatment. Among the 1,579 patients who survived ≥ 8 months, the 1,091 (69.1%) who received 5 to 7 months of treatment had lower overall (hazard ratio [HR], 0.59; 95%, CI 0.49 to 0.71) and colon cancer-specific (HR, 0.53; 95% CI, 0.43 to 0.66) mortality than the 488 (30.9%) who received 1 to 4 months of treatment. Conclusion More than 30% of elderly patients who initiated FU-based chemotherapy for stage III colon cancer and survived for at least 8 months discontinued treatment early. Mortality rates among such patients were nearly twice as high as among patients who completed 5 to 7 months of treatment. If the association we observed between duration of treatment and survival is confirmed, additional investigation is warranted to determine whether dose-intensity, cumulative dose, or other factors related to receipt of full adjuvant treatment are responsible.


2002 ◽  
Vol 20 (19) ◽  
pp. 3992-3998 ◽  
Author(s):  
Theodore J. Iwashyna ◽  
Elizabeth B. Lamont

PURPOSE: Although randomized controlled trials (RCTs) consistently show that adjuvant fluorouracil (5-FU) extends the survival of patients with stage III colon cancer, it is not yet known whether this benefit exists in populations underrepresented on clinical trials, particularly the elderly with medical comorbidity treated in the community. In this study, we ask the following: (1) What is the hazard of death associated with adjuvant 5-FU in the general population of elderly stage III colon cancer patients? (2) Does the hazard vary with patient age? PATIENTS AND METHODS: In this prospective, nonrandomized, population-based cohort study of 3,357 elderly Medicare beneficiaries who had undergone resection of stage III colon cancer according to the Surveillance, Epidemiology, and End-Results registries, we use propensity score matching to compare the all-cause mortality of patients who received 5-FU to matched untreated patients. RESULTS: 5-FU reduces the hazard of death by 27% (hazard ratio, 0.73; 95% confidence interval [CI], 0.65 to 0.82) across the 6 years of our data in a Cox model. At 5 years, 52.7% (95% CI, 49.6% to 55.6%) of the treated and 40.7% (95% CI, 38.1% to 43.4%) of the matched untreated are still alive. We find that these effects do not diminish with advancing patient age. CONCLUSION: The survival benefit of adjuvant 5-FU that has been demonstrated in participants of RCTs is also evident in a population sample of elderly Medicare beneficiaries with stage III colon cancer treated in the community. Furthermore, this survival benefit does not appear to diminish with patient age. These findings support the continued use of adjuvant 5-FU in the general population of elderly patients with stage III colon cancer and suggest that oncologists in the community are practicing at a high level of effectiveness.


2021 ◽  
Vol 36 (4) ◽  
pp. 811-819
Author(s):  
Bogdan Badic ◽  
Maude Oguer ◽  
Melanie Cariou ◽  
Tiphaine Kermarrec ◽  
Servane Bouzeloc ◽  
...  

2010 ◽  
Vol 251 (1) ◽  
pp. 184-185
Author(s):  
Jiping Wang ◽  
Mahmoud Kulaylat ◽  
James Hassett ◽  
Kelli Bullard Dunn ◽  
Merril Dayton ◽  
...  

Oncology ◽  
2021 ◽  
Vol 99 (5) ◽  
pp. 318-326
Author(s):  
Yutaro Kamei ◽  
Tetsuro Takayama ◽  
Toshiyuki Suzuki ◽  
Kenichi Furihata ◽  
Megumi Otsuki ◽  
...  

Background: Survival rate may be predicted by tumor-node-metastasis staging systems in colon cancer. In clinical practice, about 20 to 30 clinicopathological factors and blood test data have been used. Various predictive factors for recurrence have been advocated; however, the interactions are complex and remain to be established. We used artificial intelligence (AI) to examine predictive factors related to recurrence. Methods: The study group comprised 217 patients who underwent curative surgery for stage III colon cancer. Using a self-organizing map (SOM), an AI-based method, patients with only 23 clinicopathological factors, patients with 23 clinicopathological factors and 34 of preoperative blood test data (pre-data), and those with 23 clinicopathological factors and 31 of postoperative blood test data (post-data) were classified into several clusters with various rates of recurrence. Results: When only clinicopathological factors were used, the percentage of T4b disease, the percentage of N2 disease, and the number of metastatic lymph nodes were significantly higher in a cluster with a higher rate of recurrence. When clinicopathological factors and pre-data were used, three described pathological factors and the serum C-reactive protein (CRP) levels were significantly higher and the serum total protein (TP) levels, serum albumin levels, and the percentage of lymphocytes were significantly lower in a cluster with a higher rate of recurrence. When clinicopathological factors and post-data were used, three described pathological factors, serum CRP levels, and serum carcinoembryonic antigen levels were significantly higher and serum TP levels, serum albumin levels, and the percentage of lymphocytes were significantly lower in a cluster with a higher rate of recurrence. Conclusions: This AI-based analysis extracted several risk factors for recurrence from more than 50 pathological and blood test factors before and after surgery separately. This analysis may predict the risk of recurrence of a new patient by confirming which clusters this patient belongs to.


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