Evidence map›Paper›PMID 31035225›Full record

ArticleInternational journal of surgery case reports2019

1st report of unexpected true left-sided gallbladder treated with robotic approach.

Antonio Gangemi, Roberto Bustos, Pier Cristoforo Giulianotti

Abstract read
In one paragraph

Article in International journal of surgery case reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Indocyanine green (ICG) fluorescence in robotic hepatobiliary surgery: A systematic review.The international journal of medical robotics + computer assisted surgery : MRCAS · 2023
    Pooled it
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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

3 authors.

Antonio GangemiDivision of General, Minimally Invasive and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, 840 S. Wood Street, Suite 435E (MC 958), Chicago, IL 60612, USA. Electronic address: agangemii@gmail.com.
Roberto BustosDivision of General, Minimally Invasive and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, 840 S. Wood Street, Suite 435E (MC 958), Chicago, IL 60612, USA.
Pier Cristoforo GiulianottiDivision of General, Minimally Invasive and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, 840 S. Wood Street, Suite 435E (MC 958), Chicago, IL 60612, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTrue left-sided gallbladder (T-LSG) occur when the gallbladder is positioned to the left of the ligamentum teres and falciform ligament and under the surface of the left liver lobe. PRESENTATION OF CASE: Patient is 29-year-old caucasian male, presenting with 9-month history of epigastric right upper quadrant (RUQ) colic pain. RUQ Ultrasound reported cholelithiasis, gallbladder wall thickening, and no intrahepatic biliary dilation. DISCUSSION: Robotic cholecystectomy was the chosen approach. When visceral surface of the liver was exposed, anomalous location of the gallbladder was noted, left to the round ligament. A cystic duct with a "hairpin" configuration and a very cephalad cystic artery were identified. Cholecystectomy was performed safely and uneventfully.

conclusionNo change of port setting was required with the robotic approach. The ICG-aided cholangiography improved surgeon's ability to recognize the concomitant vascular and biliary anomalies. However, no definitive conclusion can be drown until further experience and volume are achieved.

Indexed as

CholecystectomyCholecystitisGallbladderLeft-sidedRoboticSinistroposition

Identifiers

PMID31035225
PMCPMC6488559

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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.