Evidence map›Paper›PMID 42493456›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2026

[Efficacy and safety of laparoscopic nephron-sparing surgery for giant renal angio-myolipoma].

Peichen Duan, Le Yu, Fan Zhang, Xiaofei Hou, Guoliang Wang, Yichang Hao, Shudong Zhang

Abstract readEnglish Abstract
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Peichen Duan
Le Yu
Fan ZhangDepartment of Urology, Peking University Third Hospital, Beijing 100191, China.
Xiaofei HouDepartment of Urology, Peking University Third Hospital, Beijing 100191, China.
Guoliang WangDepartment of Urology, Peking University Third Hospital, Beijing 100191, China.
Yichang HaoDepartment of Urology, Peking University Third Hospital, Beijing 100191, China.
Shudong ZhangDepartment of Urology, Peking University Third Hospital, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGiant renal angiomyolipoma (RAML), typically defined as having a maximum diameter of ≥8 cm, presents formidable surgical challenges and heightened clinical risks. These challenges primarily stem from the tumor's extensive volume, highly enriched but fragile vascularization, and significant susceptibility to spontaneous rupture and life-threatening hemorrhage. This study aims to comprehensively evaluate the clinical effectiveness and safety of laparoscopic nephron-sparing surgery (NSS) for the management of these complex giant lesions.

methodsA retrospective analysis was performed on 45 patients with giant (≥8 cm) RAML who received NSS at Peking University Third Hospital between January 2012 and September 2025. The cohort comprised 11 males and 34 females with a mean age of (40.9±14.1) years and a mean body mass index (BMI) of (23.7±4.0) kg/m

resultsAll the 45 operations were successfully completed with complete tumor resection and nephron preservation, although 5 cases required conversion to open surgery due to severe adhesions or bleeding. The operative time was (180.6±55.7) min (range: 86-312 min), the warm ischemia time was (21.9±9.8) min (range: 6-40 min); 36 cases had a warm ischemia time ≤30 min, while a zero-ischemia technique was employed in 3 cases. The postoperative hospital stay was (6.2±2.6) days (range: 3-14 days), and the time to drainage tube removal was (5.1±2.2) days (range: 2-14 days). Postoperative patho-logy confirmed RAML in all cases, and all surgical margins were negative. Postoperative complications included one case of pulmonary infection and one case of renal insufficiency. During a follow-up of 3 to 43 months, no tumor recurrence or significant loss of renal function was documented.

conclusionNSS for selected patients with giant RAML is effective in preserving renal function while ensuring complete tumor resection, negative margins, and avoiding short-term and long-term complications. Robotic-assisted systems, in particular, offer distinct advantages in complex wound reconstruction and the reduction of surgical complications.

Indexed as

AngiomyolipomaKidney NeoplasmsLaparoscopyNephrectomyOrgan Sparing TreatmentsAdultFemaleHumansMaleMiddle AgedNephronsRetrospective StudiesRobotic Surgical ProceduresTreatment OutcomeYoung AdultLaparoscopyNephron-sparing surgeryRenal angiomyolipomaTreatment outcome

Identifiers

PMID42493456
PMCPMC13402092

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.