Evidence map›Paper›PMID 31292732›Full record

ArticleWorld journal of urology2020

Robotic enucleation of adrenal masses: technique and outcomes.

Chen Ye, Yue Yang, Fei Guo, Fubo Wang, Chao Zhang, Bo Yang

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Article in World journal of urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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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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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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Robotic bilateral partial adrenalectomy.World journal of urology · 2022
    Article
  4. Review
  5. Robotic surgery in urology: the way forward.World journal of urology · 2020
    Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Chen YeDepartment of Urology, Shanghai Changhai Hospital, the Second Military Medical University, 168 Changhai Road, Yangpu District, Shanghai, 200433, China.
Yue YangDepartment of Urology, Shanghai Changhai Hospital, the Second Military Medical University, 168 Changhai Road, Yangpu District, Shanghai, 200433, China.
Fei GuoDepartment of Urology, Shanghai Changhai Hospital, the Second Military Medical University, 168 Changhai Road, Yangpu District, Shanghai, 200433, China.
Fubo WangDepartment of Urology, Shanghai Changhai Hospital, the Second Military Medical University, 168 Changhai Road, Yangpu District, Shanghai, 200433, China.
Chao ZhangDepartment of Urology, Shanghai Changhai Hospital, the Second Military Medical University, 168 Changhai Road, Yangpu District, Shanghai, 200433, China. tony373@163.com.
Bo YangDepartment of Urology, Shanghai Changhai Hospital, the Second Military Medical University, 168 Changhai Road, Yangpu District, Shanghai, 200433, China. yangbochanghai@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the feasibility and safety of the application of robotic enucleation of adrenal masses (REAM).

methodsThirteen patients at Shanghai Changhai Hospital who underwent robotic enucleation of adrenal mass from February 2017 to March 2018 were reviewed. After mobilizing the adrenal gland and clamping the feeding blood vessels, the tumor was enucleated and reconstruction was performed. Relevant clinical data were recorded including baseline patient and tumor characteristics, and perioperative outcomes (operating time, ischemic time, estimated blood loss, complications, and so on).

resultsAll cases were successfully completed without conversion to total adrenalectomy or open surgery. The mean operative time was 75 min (range 60-95), with a mean warm ischemia time of 12 min (range 8-17). The estimated blood loss was 20 mL (range 10-50). No intraoperative complications were observed, and no steroid replacement was given post-operatively. After a median follow-up period of 12 months (range 9-15), no evidence of disease recurrence was detected.

conclusionsRobotic enucleation of adrenal masses is a safe and feasible procedure with excellent short-term functional and oncologic outcomes. Steroid supplementation is not necessary and recurrence is not usual with limited follow-up. Long-term follow-up and larger studies should be conducted to further evaluate outcomes of this robotic adrenal-sparing approach.

Indexed as

Robotic Surgical ProceduresAdrenalectomyAdrenal Gland NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeAdrenal massEnucleationRobotic surgery

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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.