Evidence map›Paper›PMID 39252748›Full record

ArticleCureus2024

Robotic-Assisted Cholecystoduodenal Fistula and Bile Leak Repair.

Michael Bagnoli, Devon Maranto, Leah Dunn, Duncan McKinney, Eric Steen

Abstract readCase Reports
In one paragraph

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

0numbers the graph read from it
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

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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Michael BagnoliSurgery, Edward Via College of Osteopathic Medicine, Blacksburg, USA.
Devon MarantoSurgery, Edward Via College of Osteopathic Medicine, Blacksburg, USA.
Leah DunnSurgery, Edward Via College of Osteopathic Medicine, Blacksburg, USA.
Duncan McKinneyInternal Medicine, Lewis Gale Medical Center, Salem, USA.
Eric SteenGeneral Surgery, Lewis Gale Medical Center, Salem, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cholelithiasis and its complications are among the most prevalent and costly medical conditions in the United States. Chronic gallbladder disease can progress into more complicated conditions, such as a cholecystoenteric fistula and, more specifically, a cholecystoduodenal fistula (CDF). Repair of these fistulas is complex and usually performed with an open approach. However, if discovered pre-operatively, they can be referred to a hepatobiliary surgery center, where surgeons have specialized training to do such procedures laparoscopically. Here, we present a case of a 57-year-old female with a past medical history of migraines, arthritis, chronic back pain, and fibromyalgia, with no prior surgical history. She presented with an approximately six-month history of colicky right upper quadrant pain and symptomatology consistent with symptomatic cholelithiasis. She elected to have a robotic-assisted laparoscopic cholecystectomy performed. Intraoperatively, she was found to have a CDF and subsequent bile duct leak that were successfully repaired. While more research is required to further characterize and more quickly identify this complication of gallbladder disease, this case highlights the value of robotic-assisted surgery in technically challenging cases. We aim to describe and advocate for the adoption of a robotic approach in patients with comparable presentations, allowing for excellent visualization and control in the removal of inflamed gallbladders, repair of fistulized tissues, and stabilization of bile leaks.

Indexed as

bile leakcholecystectomy complicationcholecystoduodenal fistulacholecystoenteric fistularobotic-assisted surgery

Identifiers

PMID39252748
PMCPMC11382923

What OpenQuestion holds

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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.