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Propensity-matched Analysis of Open Versus Robotic Primary Retroperitoneal Lymph Node Dissection for Clinical Stage II Testicular Cancer.
Chavarriaga, Julian; Atenafu, Eshetu G; Mousa, Ahmad; Langleben, Carley; Anson-Cartwright, Lynn; Jewett, Michael; Hamilton, Robert J.
Afiliação
  • Chavarriaga J; Division of Urology, Department of Surgical Oncology, Princess Margaret Cancer Centre, University Health Network and the University of Toronto, Toronto, Ontario, Canada. Electronic address: julian.chavarriaga@uhn.ca.
  • Atenafu EG; Department of Biostatistics, University Health Network, Toronto, Ontario, Canada.
  • Mousa A; Division of Urology, Department of Surgical Oncology, Princess Margaret Cancer Centre, University Health Network and the University of Toronto, Toronto, Ontario, Canada.
  • Langleben C; Division of Urology, Department of Surgical Oncology, Princess Margaret Cancer Centre, University Health Network and the University of Toronto, Toronto, Ontario, Canada.
  • Anson-Cartwright L; Division of Urology, Department of Surgical Oncology, Princess Margaret Cancer Centre, University Health Network and the University of Toronto, Toronto, Ontario, Canada.
  • Jewett M; Division of Urology, Department of Surgical Oncology, Princess Margaret Cancer Centre, University Health Network and the University of Toronto, Toronto, Ontario, Canada.
  • Hamilton RJ; Division of Urology, Department of Surgical Oncology, Princess Margaret Cancer Centre, University Health Network and the University of Toronto, Toronto, Ontario, Canada. Electronic address: rob.hamilton@uhn.ca.
Eur Urol Oncol ; 2024 Jan 25.
Article em En | MEDLINE | ID: mdl-38278693
ABSTRACT

BACKGROUND:

Open retroperitoneal lymph node dissection (O-RPLND) is the accepted standard surgical approach to treat retroperitoneal nodal disease in testis cancer. Increasingly, robotic RPLND (R-RPLND) is being performed due to the potential for lower blood loss, shorter length of stay, and accelerated recovery.

OBJECTIVE:

We have performed a propensity score matching (PSM) analysis comparing the survival and perioperative outcomes of O- and R-RPLND. DESIGN, SETTING, AND

PARTICIPANTS:

Analyzing the data from all patients who underwent primary RPLND at our center between 1990 and 2022, we used PSM to create a 21 (O-RPLNDR-RPLND) matched cohort. INTERVENTION Primary O-RPLND versus R-RPLND. OUTCOME MEASUREMENTS AND STATISTICAL

ANALYSIS:

The primary endpoint was time to relapse. The secondary endpoints included operating time, length of stay, estimated blood loss (EBL), and surgical complications. Relapse-free survival rates were calculated using the Kaplan-Meier method, and log-rank tests were used to compare perioperative outcomes of O-RPLND versus R-RPLND. KEY FINDINGS AND

LIMITATIONS:

A total of 178 patients underwent primary RPLND 137 O-RPLND and 41 R-RPLND. After PSM, 26 patients in the R-RPLND group were matched with 38 in the O-RPLND group. After matching, no significant baseline differences were noted. After a median follow-up of 23.5 mo (interquartile range 4.4-59.2), one (3.8%) relapse was noted in the R-RPLND group versus three (7.8%) in the O-RPLND group; however, this was not significant (hazard ratio 0.65, 95% confidence interval 0.07-6.31, p = 0.7097). No in-field relapses occurred in either cohort. R-RPLND was associated with a shorter length of stay (1 vs 5 d, p < 0.0001) and lower EBL (200 vs 300 ml, p = 0.032), but longer operative time (8.8 vs 4.3 h, p < 0.0001).

CONCLUSIONS:

R-RPLND offers low morbidity and improved perioperative outcomes, while maintaining oncologic efficacy of the open approach. PATIENT

SUMMARY:

To the best of our knowledge, this is the first study to compare open and robotic retroperitoneal lymph node dissection (R-RPLND) using a propensity score-matched system. We encourage the discussion and inclusion of primary R-RPLND into the standard of care algorithm for patients with de novo clinical stage (CS) II and relapsed CS I with CS II equivalent disease.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article