Evidence map›Paper›PMID 35392126›Full record

ReviewJournal of clinical and translational research2022

Robot-assisted radical cholecystectomy for gallbladder cancer: A review.

Weng Jiayi, Vishal G Shelat

Abstract readReview
In one paragraph

Review in Journal of clinical and translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

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

2 authors.

Weng JiayiYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Vishal G ShelatDepartment of General Surgery, Tan Tock Seng Hospital, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Radical cholecystectomy (RC) is recommended for Gallbladder cancer (GbC) patients with resectable T1b or higher stage. Traditionally, open RC is preferred over minimally invasive approach. Robotic surgery is increasingly gaining popularity and there are reports of robotic RC (RRC) for GbC. RRC is still new and mostly performed in high-volume centers with access to robotic technology. Aim: This study aims to review the current literature on the safety and feasibility of RRC for GbC. Methods: We performed a systematic review of RRC for GbC using PubMed and Embase until December 2020. The primary endpoint was major complications, while the secondary endpoints were conversion to open, R0 resection, and early recurrence. Results: Seven studies with 74 patients were included in the study. Overall, four patients (5.41%) required open conversion. Five out of 74 patients (6.76%) experienced post-operative complications. There was no post-operative mortality. Among the patients with surgical margins reported (n = 63), 61 patients had negative margins (96.8%) and only two patients had positive margins. Two-year survival outcomes were reported as 60.5-100%. Relevance for Patients: This is the first review that summarizes the current evidence on RRC for GbC. The endpoints suggest that RRC is feasible and safe in selected patients and when done in experienced centers. Understanding the strengths and limitations of RRC compared to other established therapeutic options may potentially aid surgeons in formulating the optimal treatment plan for GbC patients.

Indexed as

cholecystectomygallbladder cancerrobotic surgery

Identifiers

PMID35392126
PMCPMC8983392

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.