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  1. 1
    “…METHODS: Patients with EC were identified from the SEER program from 1988 to 2012. Kaplan–Meier survival methods and Cox proportional hazards regression were performed. …”
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  2. 2
    “…Patients with a diagnosis of small cell carcinoma of the cervix were included between 1988 and 2012. Kaplan-Meier method and Cox regression models were used. …”
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  3. 3
    “…METHODS: Using the Surveillance, Epidemiology, and End Results program patients with stage II–III rectal SRCC were retrospectively included between 1988 and 2012. Univariate and multivariate Cox regression analyses were performed to analyze the effect of preoperative and postoperative RT on cause-specific survival (CSS). …”
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  4. 4
    “…The Surveillance Epidemiology and End Results (SEER) database was used to identify patients with metastatic EC from 1988 to 2012. A total of 9,125 patients were identified. …”
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  5. 5
    “…Data from the Surveillance Epidemiology and End Results database (1988–2010) were analyzed using Kaplan–Meier and Cox regression proportional hazard analysis. …”
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  6. 6
    “…Patients with cervical cancer who undergo hysterectomy and had pathologically-confirmed positive LNs after lymphadenectomy were identified using the SEER database (1988-2012). Kaplan–Meier survival methods and Cox proportional hazards regression were performed. …”
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  7. 7
    “…METHODS: Data of patients with stage IA2–IIA squamous cell carcinoma (SCC) and adenocarcinoma (AC) of the uterine cervix between 1988 and 2013 were retrieved from the Surveillance, Epidemiology, and End Results program. …”
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  8. 8
    “…The Surveillance Epidemiology and End Results (SEER) database was queried to identify EC patients treated from 1988 to 2012 who had complete data on the number of positive lymph nodes and number of RLNs. …”
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  9. 9
    “…METHODS: Patients diagnosed with International Federation of Gynecology and Obstetrics (FIGO) stages I–IIA cervical SCC and AC between 1988 and 2013 were retrospectively reviewed using the Surveillance, Epidemiology, and End Results database. …”
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