Evidence map›Paper›PMID 39578290›Full record

ArticleSurgical endoscopy2025

Surgical outcomes from robotic-assisted adrenalectomy: a case series on experience in a large tertiary referral centre.

Sandeep K Maharajh, Fouad Ashoush, Jason K Ramsingh

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Article in Surgical endoscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

1 citing paper 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

3 authors.

Sandeep K MaharajhEndocrine and General Surgery Department, Royal Victoria Infirmary, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK. Sandeep.maharajh@nhs.net.ORCID 0000-0001-7554-326X
Fouad AshoushEndocrine and General Surgery Department, Royal Victoria Infirmary, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK.
Jason K RamsinghEndocrine and General Surgery Department, Royal Victoria Infirmary, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobotic-assisted surgery is gaining wider acceptance in most surgical specialties. However, in the United Kingdom, endocrine surgery has not fully adopted robotics. This paper aims to present the early experience and outcomes of patients who underwent robotic-assisted adrenalectomy at a tertiary referral endocrine surgery department. Outcomes were compared to national and international performance measures.

methodsSeventy-two elective robotic adrenalectomies were performed over a 24-month period. Data collected included patient demographics, co-morbidities, indication for surgery and tumour size. Outcomes assessed were console time, conversion rates, complications, length of stay and excision margin.

resultsSeventy-two cases were included for analysis. Sixty-six percent (n = 48) of the patients were female with a median age of 60 years. Median BMI was 28. Functional tumours accounted for 76% (n = 55) of cases with the most common being phaeochromocytomas and cortisol producing adenomas. Median docking time was 5 min with a median intraoperative time on the console of 45.5 min. Tumour size ranged from 1 to 14 cm. Median length of stay postoperatively was 1 day. There was only one conversion to open procedure. Two patients reported post-op superficial surgical site infections and there were no mortalities.

conclusionThis case series demonstrates robotic-assisted adrenalectomies performed in a tertiary care centre were safe and feasible in a selected cohort of patients with functional and non-functional tumours. Large randomised controlled trials with long-term follow-up are required to establish the benefits of robotic adrenal surgery over conventional laparoscopic adrenalectomy.

Indexed as

AdrenalectomyAdrenal Gland NeoplasmsRobotic Surgical ProceduresAdultAgedFemaleHumansLaparoscopyLength of StayMaleMiddle AgedOperative TimePostoperative ComplicationsRetrospective StudiesTertiary Care CentersTreatment OutcomeAdrenalectomyCase seriesRobotic surgeryUnited Kingdom

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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.