Prognostic Model for Predicting Survival in Patients with Disease Recurrence Following Radical Cystectomy

Luis A Kluth; Evanguelos Xylinas; Malte Rieken; Matthew Kent; Masaomi Ikeda; Kazumasa Matsumoto; Masayuki Hagiwara; Eiji Kikuchi; Megan T Bing; Amit Gupta; Joseph M Sewell; Badrinath R Konety; Tilman Todenhöfer; Christian Schwentner; Alexandra Masson-Lecomte; Dimitri Vordos; Florian Roghmann; Joachim Noldus; Aria A Razmaria; Norm D Smith; Evi Comploj; Armin Pycha; Michael Rink; Jack Baniel; Roy Mano; Giacomo Novara; Atiqullah Aziz; Hans-Martin Fritsche; Antonin Brisuda; Trinity Bivalacqua; Paolo Gontero; Stephen A Boorjian; Andrew J Vickers; Shahrokh F Shariat

doi:10.1016/j.euf.2014.10.003

Prognostic Model for Predicting Survival in Patients with Disease Recurrence Following Radical Cystectomy

Standard

Prognostic Model for Predicting Survival in Patients with Disease Recurrence Following Radical Cystectomy. / Kluth, Luis A; Xylinas, Evanguelos; Rieken, Malte; Kent, Matthew; Ikeda, Masaomi; Matsumoto, Kazumasa; Hagiwara, Masayuki; Kikuchi, Eiji; Bing, Megan T; Gupta, Amit; Sewell, Joseph M; Konety, Badrinath R; Todenhöfer, Tilman; Schwentner, Christian; Masson-Lecomte, Alexandra; Vordos, Dimitri; Roghmann, Florian; Noldus, Joachim; Razmaria, Aria A; Smith, Norm D; Comploj, Evi; Pycha, Armin; Rink, Michael; Baniel, Jack; Mano, Roy; Novara, Giacomo; Aziz, Atiqullah; Fritsche, Hans-Martin; Brisuda, Antonin; Bivalacqua, Trinity; Gontero, Paolo; Boorjian, Stephen A; Vickers, Andrew J; Shariat, Shahrokh F.

in: EUR UROL FOCUS, Jahrgang 1, Nr. 1, 08.2015, S. 75-81.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Kluth, LA, Xylinas, E, Rieken, M, Kent, M, Ikeda, M, Matsumoto, K, Hagiwara, M, Kikuchi, E, Bing, MT, Gupta, A, Sewell, JM, Konety, BR, Todenhöfer, T, Schwentner, C, Masson-Lecomte, A, Vordos, D, Roghmann, F, Noldus, J, Razmaria, AA, Smith, ND, Comploj, E, Pycha, A, Rink, M, Baniel, J, Mano, R, Novara, G, Aziz, A, Fritsche, H-M, Brisuda, A, Bivalacqua, T, Gontero, P, Boorjian, SA, Vickers, AJ & Shariat, SF 2015, 'Prognostic Model for Predicting Survival in Patients with Disease Recurrence Following Radical Cystectomy', EUR UROL FOCUS, Jg. 1, Nr. 1, S. 75-81. https://doi.org/10.1016/j.euf.2014.10.003

APA

Kluth, L. A., Xylinas, E., Rieken, M., Kent, M., Ikeda, M., Matsumoto, K., Hagiwara, M., Kikuchi, E., Bing, M. T., Gupta, A., Sewell, J. M., Konety, B. R., Todenhöfer, T., Schwentner, C., Masson-Lecomte, A., Vordos, D., Roghmann, F., Noldus, J., Razmaria, A. A., ... Shariat, S. F. (2015). Prognostic Model for Predicting Survival in Patients with Disease Recurrence Following Radical Cystectomy. EUR UROL FOCUS, 1(1), 75-81. https://doi.org/10.1016/j.euf.2014.10.003

Vancouver

Kluth LA, Xylinas E, Rieken M, Kent M, Ikeda M, Matsumoto K et al. Prognostic Model for Predicting Survival in Patients with Disease Recurrence Following Radical Cystectomy. EUR UROL FOCUS. 2015 Aug;1(1):75-81. https://doi.org/10.1016/j.euf.2014.10.003

Bibtex

@article{3b9c8c28c3d742f884f177105d0d519d,

title = "Prognostic Model for Predicting Survival in Patients with Disease Recurrence Following Radical Cystectomy",

abstract = "BACKGROUND: Although the natural history of urothelial carcinoma of the bladder (UCB) from radical cystectomy (RC) to disease recurrence (DR) has been investigated intensively, the course of patients who have experienced DR after RC for UCB remains poorly understood.OBJECTIVE: To evaluate the prognostic value of the Bajorin criteria that consists of two risk factors: Karnofsky performance status (KPS) and the presence of visceral metastases (VMs) in patients with DR after RC for UCB. Furthermore, to identify additional factors associated with cancer-specific mortality (CSM) and thus build a multivariable model to predict survival after DR.DESIGN, SETTING, AND PARTICIPANTS: We identified 967 patients with UCB who underwent RC at 17 centers between 1979 and 2012 and experienced DR. Of these, 372 patients had complete data we used for analysis.OUTCOMES MEASUREMENTS AND STATISTICAL ANALYSIS: Univariable Cox regressions analysis was performed. We used a forward stepwise selection process for our final multivariable model.RESULTS AND LIMITATIONS: Within a median follow-up of 18 mo, 266 patients died of disease. Cancer-specific survival at 1 yr was 79%, 76%, and 47% for patients with no (n=105), one (n=180), and two (n=87) risk factors (p<0.001; c-index: 0.604). On multivariable analyses, we found that KPS <80%, higher American Society of Anesthesiologists score, anemia, leukocytosis, and shorter time to DR (all p values <0.034) were independently associated with increased CSM. The combination of time to DR and KPS resulted in improved discrimination (c-index: 0.694).CONCLUSIONS: We confirmed the prognostic value of KPS and VMs in patients with DR following RC for UCB. We also found several other clinical variables to be associated with worse CSM. We developed a model for predicting survival after DR inclusive of time to DR and KPS assessed at DR. If validated, this model could help clinical trial design.PATIENT SUMMARY: We developed a model to predict survival following disease recurrence after radical cystectomy for urothelial carcinoma of the bladder, based on time to disease recurrence and Karnofsky performance status.",

keywords = "Journal Article",

author = "Kluth, {Luis A} and Evanguelos Xylinas and Malte Rieken and Matthew Kent and Masaomi Ikeda and Kazumasa Matsumoto and Masayuki Hagiwara and Eiji Kikuchi and Bing, {Megan T} and Amit Gupta and Sewell, {Joseph M} and Konety, {Badrinath R} and Tilman Todenh{\"o}fer and Christian Schwentner and Alexandra Masson-Lecomte and Dimitri Vordos and Florian Roghmann and Joachim Noldus and Razmaria, {Aria A} and Smith, {Norm D} and Evi Comploj and Armin Pycha and Michael Rink and Jack Baniel and Roy Mano and Giacomo Novara and Atiqullah Aziz and Hans-Martin Fritsche and Antonin Brisuda and Trinity Bivalacqua and Paolo Gontero and Boorjian, {Stephen A} and Vickers, {Andrew J} and Shariat, {Shahrokh F}",

year = "2015",

month = aug,

doi = "10.1016/j.euf.2014.10.003",

language = "English",

volume = "1",

pages = "75--81",

journal = "EUR UROL FOCUS",

issn = "2405-4569",

publisher = "Elsevier BV",

number = "1",

}

RIS

TY - JOUR

T1 - Prognostic Model for Predicting Survival in Patients with Disease Recurrence Following Radical Cystectomy

AU - Kluth, Luis A

AU - Xylinas, Evanguelos

AU - Rieken, Malte

AU - Kent, Matthew

AU - Ikeda, Masaomi

AU - Matsumoto, Kazumasa

AU - Hagiwara, Masayuki

AU - Kikuchi, Eiji

AU - Bing, Megan T

AU - Gupta, Amit

AU - Sewell, Joseph M

AU - Konety, Badrinath R

AU - Todenhöfer, Tilman

AU - Schwentner, Christian

AU - Masson-Lecomte, Alexandra

AU - Vordos, Dimitri

AU - Roghmann, Florian

AU - Noldus, Joachim

AU - Razmaria, Aria A

AU - Smith, Norm D

AU - Comploj, Evi

AU - Pycha, Armin

AU - Rink, Michael

AU - Baniel, Jack

AU - Mano, Roy

AU - Novara, Giacomo

AU - Aziz, Atiqullah

AU - Fritsche, Hans-Martin

AU - Brisuda, Antonin

AU - Bivalacqua, Trinity

AU - Gontero, Paolo

AU - Boorjian, Stephen A

AU - Vickers, Andrew J

AU - Shariat, Shahrokh F

PY - 2015/8

Y1 - 2015/8

N2 - BACKGROUND: Although the natural history of urothelial carcinoma of the bladder (UCB) from radical cystectomy (RC) to disease recurrence (DR) has been investigated intensively, the course of patients who have experienced DR after RC for UCB remains poorly understood.OBJECTIVE: To evaluate the prognostic value of the Bajorin criteria that consists of two risk factors: Karnofsky performance status (KPS) and the presence of visceral metastases (VMs) in patients with DR after RC for UCB. Furthermore, to identify additional factors associated with cancer-specific mortality (CSM) and thus build a multivariable model to predict survival after DR.DESIGN, SETTING, AND PARTICIPANTS: We identified 967 patients with UCB who underwent RC at 17 centers between 1979 and 2012 and experienced DR. Of these, 372 patients had complete data we used for analysis.OUTCOMES MEASUREMENTS AND STATISTICAL ANALYSIS: Univariable Cox regressions analysis was performed. We used a forward stepwise selection process for our final multivariable model.RESULTS AND LIMITATIONS: Within a median follow-up of 18 mo, 266 patients died of disease. Cancer-specific survival at 1 yr was 79%, 76%, and 47% for patients with no (n=105), one (n=180), and two (n=87) risk factors (p<0.001; c-index: 0.604). On multivariable analyses, we found that KPS <80%, higher American Society of Anesthesiologists score, anemia, leukocytosis, and shorter time to DR (all p values <0.034) were independently associated with increased CSM. The combination of time to DR and KPS resulted in improved discrimination (c-index: 0.694).CONCLUSIONS: We confirmed the prognostic value of KPS and VMs in patients with DR following RC for UCB. We also found several other clinical variables to be associated with worse CSM. We developed a model for predicting survival after DR inclusive of time to DR and KPS assessed at DR. If validated, this model could help clinical trial design.PATIENT SUMMARY: We developed a model to predict survival following disease recurrence after radical cystectomy for urothelial carcinoma of the bladder, based on time to disease recurrence and Karnofsky performance status.

AB - BACKGROUND: Although the natural history of urothelial carcinoma of the bladder (UCB) from radical cystectomy (RC) to disease recurrence (DR) has been investigated intensively, the course of patients who have experienced DR after RC for UCB remains poorly understood.OBJECTIVE: To evaluate the prognostic value of the Bajorin criteria that consists of two risk factors: Karnofsky performance status (KPS) and the presence of visceral metastases (VMs) in patients with DR after RC for UCB. Furthermore, to identify additional factors associated with cancer-specific mortality (CSM) and thus build a multivariable model to predict survival after DR.DESIGN, SETTING, AND PARTICIPANTS: We identified 967 patients with UCB who underwent RC at 17 centers between 1979 and 2012 and experienced DR. Of these, 372 patients had complete data we used for analysis.OUTCOMES MEASUREMENTS AND STATISTICAL ANALYSIS: Univariable Cox regressions analysis was performed. We used a forward stepwise selection process for our final multivariable model.RESULTS AND LIMITATIONS: Within a median follow-up of 18 mo, 266 patients died of disease. Cancer-specific survival at 1 yr was 79%, 76%, and 47% for patients with no (n=105), one (n=180), and two (n=87) risk factors (p<0.001; c-index: 0.604). On multivariable analyses, we found that KPS <80%, higher American Society of Anesthesiologists score, anemia, leukocytosis, and shorter time to DR (all p values <0.034) were independently associated with increased CSM. The combination of time to DR and KPS resulted in improved discrimination (c-index: 0.694).CONCLUSIONS: We confirmed the prognostic value of KPS and VMs in patients with DR following RC for UCB. We also found several other clinical variables to be associated with worse CSM. We developed a model for predicting survival after DR inclusive of time to DR and KPS assessed at DR. If validated, this model could help clinical trial design.PATIENT SUMMARY: We developed a model to predict survival following disease recurrence after radical cystectomy for urothelial carcinoma of the bladder, based on time to disease recurrence and Karnofsky performance status.

KW - Journal Article

U2 - 10.1016/j.euf.2014.10.003

DO - 10.1016/j.euf.2014.10.003

M3 - SCORING: Journal article

C2 - 28723361

VL - 1

SP - 75

EP - 81

JO - EUR UROL FOCUS

JF - EUR UROL FOCUS

SN - 2405-4569

IS - 1

ER -