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Masashi Fukui - One of the best experts on this subject based on the ideXlab platform.

  • Gamma knife radiosurgery for simultaneous multiple metastatic brain tumors.
    Journal of Neurosurgery, 2000
    Co-Authors: Satoshi O. Suzuki, Junichi Omagari, Shunji Nishio, Eiichiro Nishiye, Masashi Fukui
    Abstract:

    Object. The authors assessed the efficacy of gamma knife radiosurgery (GKS) in the treatment of patients with 10 or more simultaneous metastatic brain tumors. Methods. Gamma knife radiosurgery was performed for the treatment of 10 or more simultaneous metastatic brain tumors in 24 patients. The performance status before and after GKS was expressed using the Karnofsky Performance Scale (KPS). The cumulative survival rate was analyzed using the Kaplan—Meier Method. The level of satisfaction with the procedure was assessed by telephone interview. No patient has died due to brain metastasis—related symptoms, and all patients and/or their families were satisfied with the GKS. In 12 patients who had brain metastasis—related symptoms, five improved, six were unchanged, and one deteriorated, as reflected by the KPS scores. The cumulative survival rate calculated by the Kaplan—Meier Method was 70.4%, 49.3%, and 12.3% at 12 weeks, 24 weeks, and 36 weeks, respectively. The median survival time was 11 weeks. Conclusi...

  • Gamma knife radiosurgery for simultaneous multiple metastatic brain tumors
    Journal of Neurosurgery, 2000
    Co-Authors: Satoshi Suzuki, Junichi Omagari, Shunji Nishio, Eiichiro Nishiye, Masashi Fukui
    Abstract:

    Object. The authors assessed the efficacy of gamma knife radiosurgery (GKS) in the treatment of patients with 10 or more simultaneous metastatic brain tumors. Methods. Gamma knife radiosurgery was performed for the treatment of 10 or more simultaneous metastatic brain tumors in 24 patients. The performance status before and after GKS was expressed using the Karnofsky Performance Scale (KPS). The cumulative survival rate was analyzed using the Kaplan—Meier Method. The level of satisfaction with the procedure was assessed by telephone interview. No patient has died due to brain metastasis—related symptoms, and all patients and/or their families were satisfied with the GKS. In 12 patients who had brain metastasis—related symptoms, five improved, six were unchanged, and one deteriorated, as reflected by the KPS scores. The cumulative survival rate calculated by the Kaplan—Meier Method was 70.4%, 49.3%, and 12.3% at 12 weeks, 24 weeks, and 36 weeks, respectively. The median survival time was 11 weeks. Conclusions. Single-fraction GKS can achieve acceptable tumor control, low morbidity, and good quality of life in the treatment of multiple metastatic brain tumors even in cases with 10 or more simultaneous metastases.

  • Gamma knife radiosurgery for simultaneous multiple metastatic brain tumors.
    Journal of neurosurgery, 2000
    Co-Authors: Satoshi Suzuki, Junichi Omagari, Shunji Nishio, Eiichiro Nishiye, Masashi Fukui
    Abstract:

    The authors assessed the efficacy of gamma knife radiosurgery (GKS) in the treatment of patients with 10 or more simultaneous metastatic brain tumors. Gamma knife radiosurgery was performed for the treatment of 10 or more simultaneous metastatic brain tumors in 24 patients. The performance status before and after GKS was expressed using the Karnofsky Performance Scale (KPS). The cumulative survival rate was analyzed using the Kaplan-Meier Method. The level of satisfaction with the procedure was assessed by telephone interview. No patient has died due to brain metastasis-related symptoms, and all patients and/or their families were satisfied with the GKS. In 12 patients who had brain metastasis-related symptoms, five improved, six were unchanged, and one deteriorated, as reflected by the KPS scores. The cumulative survival rate calculated by the Kaplan-Meier Method was 70.4%, 49.3%, and 12.3% at 12 weeks, 24 weeks, and 36 weeks, respectively. The median survival time was 11 weeks. Single-fraction GKS can achieve acceptable tumor control, low morbidity, and good quality of life in the treatment of multiple metastatic brain tumors even in cases with 10 or more simultaneous metastases.

Friedo W. Dekker - One of the best experts on this subject based on the ideXlab platform.

  • Survival analysis II: Cox regression.
    Nephron. Clinical practice, 2011
    Co-Authors: Vianda S. Stel, Friedo W. Dekker, Carmine Zoccali, Giovanni Tripepi, Kitty J. Jager
    Abstract:

    In contrast to the Kaplan-Meier Method, Cox proportional hazards regression can provide an effect estimate by quantifying the difference in survival between patient groups and can adjust for confounding effects of other variables. The purpose of this article is to explain the basic concepts of the Cox regression Method, and to provide some guidance regarding the presentation of the results.

  • Survival analysis I: the Kaplan-Meier Method.
    Nephron. Clinical practice, 2011
    Co-Authors: Vianda S. Stel, Friedo W. Dekker, Carmine Zoccali, Giovanni Tripepi, Kitty J. Jager
    Abstract:

    The Kaplan-Meier (KM) Method is used to analyze 'time-to-event' data. The outcome in KM analysis often includes all-cause mortality, but could also include other outcomes such as the occurrence of a cardiovascular event. The purpose of this article is to explain the basic concepts of the KM Method, to provide some guidance regarding the presentation of the KM results and to discuss some important limitations of this Method. To do this, we use a clinical example derived from the nephrology literature.

  • the analysis of competing events like cause specific mortality beware of the Kaplan Meier Method
    Nephrology Dialysis Transplantation, 2011
    Co-Authors: Marion Verduijn, Kitty J. Jager, Friedo W. Dekker, Diana C. Grootendorst, Saskia Le Cessie
    Abstract:

    Kaplan–Meier analysis is a popular Method used for analysing time-to-eventdata. In case of competing eventanalyses such as that of cardiovascular and non-cardiovascular mortality, however, the Kaplan–Meier Method profoundly overestimates the cumulative mortality probabilities for each of the separate causes of death. This article provides an introduction to the problem of competing events in Kaplan– Meier analysis. It explains cumulative incidence competing risk analysis and demonstrates on a cohort of elderly dialysis patients that, in contrast to the Kaplan–Meier Method, application of this Method yields unbiased estimates of the cumulative probabilities for cause-specific mortality.

  • The analysis of competing events like cause-specific mortality—beware of the Kaplan-Meier Method
    Nephrology dialysis transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2010
    Co-Authors: Marion Verduijn, Kitty J. Jager, Friedo W. Dekker, Diana C. Grootendorst, Saskia Le Cessie
    Abstract:

    Kaplan–Meier analysis is a popular Method used for analysing time-to-eventdata. In case of competing eventanalyses such as that of cardiovascular and non-cardiovascular mortality, however, the Kaplan–Meier Method profoundly overestimates the cumulative mortality probabilities for each of the separate causes of death. This article provides an introduction to the problem of competing events in Kaplan– Meier analysis. It explains cumulative incidence competing risk analysis and demonstrates on a cohort of elderly dialysis patients that, in contrast to the Kaplan–Meier Method, application of this Method yields unbiased estimates of the cumulative probabilities for cause-specific mortality.

  • The analysis of survival data: the Kaplan-Meier Method.
    Kidney international, 2008
    Co-Authors: Kitty J. Jager, Paul C. W. Van Dijk, Carmine Zoccali, Friedo W. Dekker
    Abstract:

    What is this patient's prognosis regarding graft rejection? Do patients using a particular drug live longer than those not using it? How does this co-morbidity affect access to transplantation? To answer this type of questions one needs to perform survival analysis. This paper focuses on the Kaplan–Meier Method, the most popular Method used for survival analysis. It makes it possible to calculate the incidence rate of events like recovery of renal function, myocardial infarction or death by using information from all subjects at risk for these events. It explains how the Method works, how survival probabilities are calculated, survival data can be summarized and survival in groups can be compared using the logrank test for hypothesis testing. In addition, it provides some guidance regarding the presentation of survival plots. Finally, it discusses the limitations of the Kaplan–Meier Method and refers to other Methods that better serve additional purposes.

Kitty J. Jager - One of the best experts on this subject based on the ideXlab platform.

  • Survival analysis II: Cox regression.
    Nephron. Clinical practice, 2011
    Co-Authors: Vianda S. Stel, Friedo W. Dekker, Carmine Zoccali, Giovanni Tripepi, Kitty J. Jager
    Abstract:

    In contrast to the Kaplan-Meier Method, Cox proportional hazards regression can provide an effect estimate by quantifying the difference in survival between patient groups and can adjust for confounding effects of other variables. The purpose of this article is to explain the basic concepts of the Cox regression Method, and to provide some guidance regarding the presentation of the results.

  • Survival analysis I: the Kaplan-Meier Method.
    Nephron. Clinical practice, 2011
    Co-Authors: Vianda S. Stel, Friedo W. Dekker, Carmine Zoccali, Giovanni Tripepi, Kitty J. Jager
    Abstract:

    The Kaplan-Meier (KM) Method is used to analyze 'time-to-event' data. The outcome in KM analysis often includes all-cause mortality, but could also include other outcomes such as the occurrence of a cardiovascular event. The purpose of this article is to explain the basic concepts of the KM Method, to provide some guidance regarding the presentation of the KM results and to discuss some important limitations of this Method. To do this, we use a clinical example derived from the nephrology literature.

  • the analysis of competing events like cause specific mortality beware of the Kaplan Meier Method
    Nephrology Dialysis Transplantation, 2011
    Co-Authors: Marion Verduijn, Kitty J. Jager, Friedo W. Dekker, Diana C. Grootendorst, Saskia Le Cessie
    Abstract:

    Kaplan–Meier analysis is a popular Method used for analysing time-to-eventdata. In case of competing eventanalyses such as that of cardiovascular and non-cardiovascular mortality, however, the Kaplan–Meier Method profoundly overestimates the cumulative mortality probabilities for each of the separate causes of death. This article provides an introduction to the problem of competing events in Kaplan– Meier analysis. It explains cumulative incidence competing risk analysis and demonstrates on a cohort of elderly dialysis patients that, in contrast to the Kaplan–Meier Method, application of this Method yields unbiased estimates of the cumulative probabilities for cause-specific mortality.

  • The analysis of competing events like cause-specific mortality—beware of the Kaplan-Meier Method
    Nephrology dialysis transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2010
    Co-Authors: Marion Verduijn, Kitty J. Jager, Friedo W. Dekker, Diana C. Grootendorst, Saskia Le Cessie
    Abstract:

    Kaplan–Meier analysis is a popular Method used for analysing time-to-eventdata. In case of competing eventanalyses such as that of cardiovascular and non-cardiovascular mortality, however, the Kaplan–Meier Method profoundly overestimates the cumulative mortality probabilities for each of the separate causes of death. This article provides an introduction to the problem of competing events in Kaplan– Meier analysis. It explains cumulative incidence competing risk analysis and demonstrates on a cohort of elderly dialysis patients that, in contrast to the Kaplan–Meier Method, application of this Method yields unbiased estimates of the cumulative probabilities for cause-specific mortality.

  • The analysis of survival data: the Kaplan-Meier Method.
    Kidney international, 2008
    Co-Authors: Kitty J. Jager, Paul C. W. Van Dijk, Carmine Zoccali, Friedo W. Dekker
    Abstract:

    What is this patient's prognosis regarding graft rejection? Do patients using a particular drug live longer than those not using it? How does this co-morbidity affect access to transplantation? To answer this type of questions one needs to perform survival analysis. This paper focuses on the Kaplan–Meier Method, the most popular Method used for survival analysis. It makes it possible to calculate the incidence rate of events like recovery of renal function, myocardial infarction or death by using information from all subjects at risk for these events. It explains how the Method works, how survival probabilities are calculated, survival data can be summarized and survival in groups can be compared using the logrank test for hypothesis testing. In addition, it provides some guidance regarding the presentation of survival plots. Finally, it discusses the limitations of the Kaplan–Meier Method and refers to other Methods that better serve additional purposes.

Junichi Omagari - One of the best experts on this subject based on the ideXlab platform.

  • Gamma knife radiosurgery for simultaneous multiple metastatic brain tumors.
    Journal of Neurosurgery, 2000
    Co-Authors: Satoshi O. Suzuki, Junichi Omagari, Shunji Nishio, Eiichiro Nishiye, Masashi Fukui
    Abstract:

    Object. The authors assessed the efficacy of gamma knife radiosurgery (GKS) in the treatment of patients with 10 or more simultaneous metastatic brain tumors. Methods. Gamma knife radiosurgery was performed for the treatment of 10 or more simultaneous metastatic brain tumors in 24 patients. The performance status before and after GKS was expressed using the Karnofsky Performance Scale (KPS). The cumulative survival rate was analyzed using the Kaplan—Meier Method. The level of satisfaction with the procedure was assessed by telephone interview. No patient has died due to brain metastasis—related symptoms, and all patients and/or their families were satisfied with the GKS. In 12 patients who had brain metastasis—related symptoms, five improved, six were unchanged, and one deteriorated, as reflected by the KPS scores. The cumulative survival rate calculated by the Kaplan—Meier Method was 70.4%, 49.3%, and 12.3% at 12 weeks, 24 weeks, and 36 weeks, respectively. The median survival time was 11 weeks. Conclusi...

  • Gamma knife radiosurgery for simultaneous multiple metastatic brain tumors
    Journal of Neurosurgery, 2000
    Co-Authors: Satoshi Suzuki, Junichi Omagari, Shunji Nishio, Eiichiro Nishiye, Masashi Fukui
    Abstract:

    Object. The authors assessed the efficacy of gamma knife radiosurgery (GKS) in the treatment of patients with 10 or more simultaneous metastatic brain tumors. Methods. Gamma knife radiosurgery was performed for the treatment of 10 or more simultaneous metastatic brain tumors in 24 patients. The performance status before and after GKS was expressed using the Karnofsky Performance Scale (KPS). The cumulative survival rate was analyzed using the Kaplan—Meier Method. The level of satisfaction with the procedure was assessed by telephone interview. No patient has died due to brain metastasis—related symptoms, and all patients and/or their families were satisfied with the GKS. In 12 patients who had brain metastasis—related symptoms, five improved, six were unchanged, and one deteriorated, as reflected by the KPS scores. The cumulative survival rate calculated by the Kaplan—Meier Method was 70.4%, 49.3%, and 12.3% at 12 weeks, 24 weeks, and 36 weeks, respectively. The median survival time was 11 weeks. Conclusions. Single-fraction GKS can achieve acceptable tumor control, low morbidity, and good quality of life in the treatment of multiple metastatic brain tumors even in cases with 10 or more simultaneous metastases.

  • Gamma knife radiosurgery for simultaneous multiple metastatic brain tumors.
    Journal of neurosurgery, 2000
    Co-Authors: Satoshi Suzuki, Junichi Omagari, Shunji Nishio, Eiichiro Nishiye, Masashi Fukui
    Abstract:

    The authors assessed the efficacy of gamma knife radiosurgery (GKS) in the treatment of patients with 10 or more simultaneous metastatic brain tumors. Gamma knife radiosurgery was performed for the treatment of 10 or more simultaneous metastatic brain tumors in 24 patients. The performance status before and after GKS was expressed using the Karnofsky Performance Scale (KPS). The cumulative survival rate was analyzed using the Kaplan-Meier Method. The level of satisfaction with the procedure was assessed by telephone interview. No patient has died due to brain metastasis-related symptoms, and all patients and/or their families were satisfied with the GKS. In 12 patients who had brain metastasis-related symptoms, five improved, six were unchanged, and one deteriorated, as reflected by the KPS scores. The cumulative survival rate calculated by the Kaplan-Meier Method was 70.4%, 49.3%, and 12.3% at 12 weeks, 24 weeks, and 36 weeks, respectively. The median survival time was 11 weeks. Single-fraction GKS can achieve acceptable tumor control, low morbidity, and good quality of life in the treatment of multiple metastatic brain tumors even in cases with 10 or more simultaneous metastases.

Shunji Nishio - One of the best experts on this subject based on the ideXlab platform.

  • Gamma knife radiosurgery for simultaneous multiple metastatic brain tumors.
    Journal of Neurosurgery, 2000
    Co-Authors: Satoshi O. Suzuki, Junichi Omagari, Shunji Nishio, Eiichiro Nishiye, Masashi Fukui
    Abstract:

    Object. The authors assessed the efficacy of gamma knife radiosurgery (GKS) in the treatment of patients with 10 or more simultaneous metastatic brain tumors. Methods. Gamma knife radiosurgery was performed for the treatment of 10 or more simultaneous metastatic brain tumors in 24 patients. The performance status before and after GKS was expressed using the Karnofsky Performance Scale (KPS). The cumulative survival rate was analyzed using the Kaplan—Meier Method. The level of satisfaction with the procedure was assessed by telephone interview. No patient has died due to brain metastasis—related symptoms, and all patients and/or their families were satisfied with the GKS. In 12 patients who had brain metastasis—related symptoms, five improved, six were unchanged, and one deteriorated, as reflected by the KPS scores. The cumulative survival rate calculated by the Kaplan—Meier Method was 70.4%, 49.3%, and 12.3% at 12 weeks, 24 weeks, and 36 weeks, respectively. The median survival time was 11 weeks. Conclusi...

  • Gamma knife radiosurgery for simultaneous multiple metastatic brain tumors
    Journal of Neurosurgery, 2000
    Co-Authors: Satoshi Suzuki, Junichi Omagari, Shunji Nishio, Eiichiro Nishiye, Masashi Fukui
    Abstract:

    Object. The authors assessed the efficacy of gamma knife radiosurgery (GKS) in the treatment of patients with 10 or more simultaneous metastatic brain tumors. Methods. Gamma knife radiosurgery was performed for the treatment of 10 or more simultaneous metastatic brain tumors in 24 patients. The performance status before and after GKS was expressed using the Karnofsky Performance Scale (KPS). The cumulative survival rate was analyzed using the Kaplan—Meier Method. The level of satisfaction with the procedure was assessed by telephone interview. No patient has died due to brain metastasis—related symptoms, and all patients and/or their families were satisfied with the GKS. In 12 patients who had brain metastasis—related symptoms, five improved, six were unchanged, and one deteriorated, as reflected by the KPS scores. The cumulative survival rate calculated by the Kaplan—Meier Method was 70.4%, 49.3%, and 12.3% at 12 weeks, 24 weeks, and 36 weeks, respectively. The median survival time was 11 weeks. Conclusions. Single-fraction GKS can achieve acceptable tumor control, low morbidity, and good quality of life in the treatment of multiple metastatic brain tumors even in cases with 10 or more simultaneous metastases.

  • Gamma knife radiosurgery for simultaneous multiple metastatic brain tumors.
    Journal of neurosurgery, 2000
    Co-Authors: Satoshi Suzuki, Junichi Omagari, Shunji Nishio, Eiichiro Nishiye, Masashi Fukui
    Abstract:

    The authors assessed the efficacy of gamma knife radiosurgery (GKS) in the treatment of patients with 10 or more simultaneous metastatic brain tumors. Gamma knife radiosurgery was performed for the treatment of 10 or more simultaneous metastatic brain tumors in 24 patients. The performance status before and after GKS was expressed using the Karnofsky Performance Scale (KPS). The cumulative survival rate was analyzed using the Kaplan-Meier Method. The level of satisfaction with the procedure was assessed by telephone interview. No patient has died due to brain metastasis-related symptoms, and all patients and/or their families were satisfied with the GKS. In 12 patients who had brain metastasis-related symptoms, five improved, six were unchanged, and one deteriorated, as reflected by the KPS scores. The cumulative survival rate calculated by the Kaplan-Meier Method was 70.4%, 49.3%, and 12.3% at 12 weeks, 24 weeks, and 36 weeks, respectively. The median survival time was 11 weeks. Single-fraction GKS can achieve acceptable tumor control, low morbidity, and good quality of life in the treatment of multiple metastatic brain tumors even in cases with 10 or more simultaneous metastases.