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Complications of Robotic Pelvic Lymph Node Dissection for Prostate Cancer: An Analysis of the National Surgical Quality Improvement Program Targeted Prostatectomy Database.

Current oncology (Toronto, Ont.) 2025 Vol.32(11)

Mundra V, Titus RS, Luna-Velasquez E, Xu J, Riveros C, Ranganathan S, Porika A, Miles BJ, Kaushik D, Wallis CJD, Satkunasivam R

📝 환자 설명용 한 줄

[INTRODUCTION/BACKGROUND] Treatment of localized prostate cancer includes radical prostatectomy (RP) with or without pelvic lymph node dissection (PLND).

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • 연구 설계 cohort study

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BibTeX ↓ RIS ↓
APA Mundra V, Titus RS, et al. (2025). Complications of Robotic Pelvic Lymph Node Dissection for Prostate Cancer: An Analysis of the National Surgical Quality Improvement Program Targeted Prostatectomy Database.. Current oncology (Toronto, Ont.), 32(11). https://doi.org/10.3390/curroncol32110642
MLA Mundra V, et al.. "Complications of Robotic Pelvic Lymph Node Dissection for Prostate Cancer: An Analysis of the National Surgical Quality Improvement Program Targeted Prostatectomy Database.." Current oncology (Toronto, Ont.), vol. 32, no. 11, 2025.
PMID 41294704

Abstract

[INTRODUCTION/BACKGROUND] Treatment of localized prostate cancer includes radical prostatectomy (RP) with or without pelvic lymph node dissection (PLND). While multiple guidelines recommend PLND for staging purposes, recent data has shown questionable therapeutic benefit. Thus, understanding the morbidity associated with PLND is important for counseling patients. We used the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) targeted prostatectomy database to quantify real-world 30-day postoperative outcomes of patients undergoing contemporary robot-assisted PLND at the time of RP for prostate cancer to quantify the incremental morbidity.

[METHODS] We conducted a retrospective cohort study using the NSQIP database of adult patients undergoing radical prostatectomy from 2019 to 2022. The primary outcomes were procedure-specific outcomes such as lymphocele and rectal injury. Secondary outcomes included a composite of any of the following 30-day major postoperative outcomes: mortality, reoperation, cardiac or neurologic event, as well as the individual components of this outcome, as well as infectious and other complications. We also analyzed yearly trends associated with PLND. Groups were balanced using propensity score matching (PSM) with a 1:1 ratio using demographic characteristics, prior medical history, and cancer staging data. Likelihood of complications was assessed by conditional logistic regression.

[RESULTS] We identified 13,413 patients between 2019 and 2022 who underwent robotic prostatectomy: 11,341 (85%) had PLND while 2072 (15%) did not. After PSM, our cohort included 2071 matched pairs of patients with and without PLND. Patients who underwent PLND were more likely to be diagnosed with lymphocele (2.14% vs. 0.68%, OR 4.17; 95% CI 2.00, 8.68), have unplanned readmission (4.22% vs. 3.27%, OR 1.31; 95% CI 1.03, 1.65), and develop organ-site/space SSI (1.18% vs. 0.60%) (OR 1.97, 95% CI 1.20, 3.23). There was no significant association between the receipt of PLND and the likelihood of urinary leak or fistula, or ureteral obstruction. There were no significant differences between the two groups with respect to secondary outcomes of interest.

[CONCLUSION] Contemporary robotic PLND is associated with a 3-fold increased likelihood of lymphocele, as well as increased likelihood of unplanned readmission and organ-site SSI, though no significant differences in major postoperative complications were identified. We found that the odds of lymphoceles, readmission, and SSI in our study are lower than previously reported. These data provide real-world data to guide patient counseling and optimize patient selection for PLND at the time of RALP.

MeSH Terms

Humans; Male; Prostatic Neoplasms; Lymph Node Excision; Robotic Surgical Procedures; Prostatectomy; Middle Aged; Retrospective Studies; Aged; Quality Improvement; Postoperative Complications; Pelvis; Databases, Factual

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