Evidence map›Paper›PMID 39834509›Full record

ArticleFrontiers in surgery2024

Case Report: Robot-assisted laparoscopic bladder diverticulectomy: a case series and initial experience.

Guangju Ge, Haihong Wang, Qiming Zheng, Shuai Zhang, Huan Wang, Liang Ma

Abstract readCase Reports
In one paragraph

Article in Frontiers in surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Guangju Ge *Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Haihong Wang *Department of Anesthesiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Qiming ZhengDepartment of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Shuai ZhangDepartment of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Huan WangDepartment of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Liang MaDepartment of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To explore the experience of tumor control technique in robot-assisted laparoscopic bladder diverticulectomy (RALBD) in the treatment of bladder diverticulum tumor, intraoperative tumor control and postoperative comprehensive treatment. Patients and methods: We treated three male patients with bladder diverticulum tumors. Case 1 involved a 63-year-old with a 3.0 cm tumor in the diverticulum on the right bladder wall. Case 2 involved a 70-year-old with a 1.0 cm cauliflower-like tumor in the diverticulum on the left bladder wall. Case 3 involved a 64-year-old with a 3.0 cm tumor in the diverticulum on the right bladder wall. Each patient underwent robot-assisted laparoscopic partial cystectomy (PC) with ureteral Double J (D-J) stent placement. To minimize the risk of intraoperative tumor spread, we implemented enhanced surgical techniques. Systemic chemotherapy and adjuvant intravesical chemotherapy were recommended to reduce the risk of tumor recurrence and metastasis. Results: Postoperative pathology confirmed papillary urothelial carcinoma in all three cases. Each patient was followed up for over 20 months, with no evidence of recurrence or distant metastasis observed through cystoscopy and chest and abdominal CT scans. Conclusion: For patients with urothelial carcinoma in a bladder diverticulum, robot-assisted laparoscopic bladder-sparing surgery is a viable option when appropriate cases are selected. Effective intraoperative tumor control and comprehensive postoperative treatment are crucial to minimizing recurrence and metastasis risks. The robotic approach offers enhanced precision and visualization compared to traditional open or laparoscopic techniques, potentially leading to improved outcomes regarding intraoperative tumor control and reduced postoperative complications. However, this study is limited by its small sample size of only three patients and short-term follow-up. A larger sample of patients is needed to confirm the advantages of the robotic approach.

Indexed as

bladderdiverticulectomyexperiencerobot-assistedtumor

Identifiers

PMID39834509
PMCPMC11743490

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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 OpenQuestion graph.