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Full-Text Articles in Oncology
Short- And Long-Term Cause-Specific Survival Of Patients With Inflammatory Breast Cancer, Patricia Tai, Edward Yu, Ross Shiels, Juan Pacella, Kurian Jones, Evgeny Sadikov, Shazia Mahmood
Short- And Long-Term Cause-Specific Survival Of Patients With Inflammatory Breast Cancer, Patricia Tai, Edward Yu, Ross Shiels, Juan Pacella, Kurian Jones, Evgeny Sadikov, Shazia Mahmood
Edward Yu
Background: Inflammatory breast cancer (IBC) had been perceived to have a poor prognosis. Oncologists were not enthusiastic in the past to give aggressive treatment. Single institution studies tend to have small patient numbers and limited years of follow-up. Most studies do not report 10-, 15- or 20-year results. Methods: Data was obtained from the population-based database of the Surveillance, Epidemiology, and End Results program of the National Cancer Institute from 1975-1995 using SEER*Stat5.0 software. This period of 21 years was divided into 7 periods of 3 years each. The years were chosen so that there was adequate follow-up information to …
Minimum Follow-Up Time Required For The Estimation Of Statistical Cure Of Cancer Patients: Verification Using Data From 42 Cancer Sites In The Seer Database, Patricia Tai, Edward Yu, Gábor Cserni, Georges Vlastos, Melanie Royce, Ian Kunkler, Vincent Vinh-Hung
Minimum Follow-Up Time Required For The Estimation Of Statistical Cure Of Cancer Patients: Verification Using Data From 42 Cancer Sites In The Seer Database, Patricia Tai, Edward Yu, Gábor Cserni, Georges Vlastos, Melanie Royce, Ian Kunkler, Vincent Vinh-Hung
Edward Yu
Background: The present commonly used five-year survival rates are not adequate to represent the statistical cure. In the present study, we established the minimum number of years required for follow-up to estimate statistical cure rate, by using a lognormal distribution of the survival time of those who died of their cancer. We introduced the term, threshold year, the follow-up time for patients dying from the specific cancer covers most of the survival data, leaving less than 2.25% uncovered. This is close enough to cure from that specific cancer. Methods: Data from the Surveillance, Epidemiology and End Results (SEER) database were …
Long-Term Survival Rates Of Laryngeal Cancer Patients Treated By Radiation And Surgery, Radiation Alone, And Surgery Alone: Studied By Lognormal And Kaplan-Meier Survival Methods, Patricia Tai, Edward Yu, Ross Shiels, Jon Tonita
Long-Term Survival Rates Of Laryngeal Cancer Patients Treated By Radiation And Surgery, Radiation Alone, And Surgery Alone: Studied By Lognormal And Kaplan-Meier Survival Methods, Patricia Tai, Edward Yu, Ross Shiels, Jon Tonita
Edward Yu
Background: Validation of the use of the lognormal model for predicting long-term survival rates using short-term follow-up data. Methods: 907 cases of laryngeal cancer were treated from 1973-1977 by radiation and surgery (248), radiation alone (345), and surgery alone (314), in registries of Connecticut and Metropolitan Detroit of the SEER database, with known survival status up to 1999. Phase 1 of this study used the minimum chi-square test to assess the goodness of fit of the survival times of those who died with disease to a lognormal distribution. Phase 2 used the maximum likelihood method to estimate long-term survival rates …