Evidence map›Paper›PMID 38706473›Full record

ArticleJournal of surgical case reports2024

Enhancing biliary structure identification using percutaneous cholecystostomy drain delivery of indocyanine green: a glowing two case review.

Peter Alexander, Vincent Marcucci, Patricia Torres, Jillian Cassidy, Seth Kipnis, Dena Arumugam

Abstract readCase Reports
In one paragraph

Article in Journal of surgical case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Peter AlexanderDepartment of Surgery, St. George's University, School of Medicine, St. George'sGrenada.
Vincent MarcucciDepartment of Surgery, Jersey Shore University Medical Center, 1945 New Jersey 33, Neptune, NJ, United States.
Patricia TorresDepartment of Surgery, Jersey Shore University Medical Center, 1945 New Jersey 33, Neptune, NJ, United States.
Jillian CassidyDepartment of Surgery, Jersey Shore University Medical Center, 1945 New Jersey 33, Neptune, NJ, United States.ORCID https://orcid.org/0009-0004-3238-5467
Seth KipnisDepartment of Surgery, St. George's University, School of Medicine, St. George'sGrenada.ORCID https://orcid.org/0000-0002-1833-3079
Dena ArumugamDepartment of Surgery, St. George's University, School of Medicine, St. George'sGrenada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of indocyanine green for fluorescent cholangiography in patients with cholecystitis initially treated with percutaneous cholecystostomy drainage catheters was described in this two case series. Two patients underwent robotic assisted cholecystectomy with fluorescent cholangiography and indocyanine green through percutaneous cholecystostomy drainage catheters. The patients were diagnosed with acute cholecystitis. Directed injection of indocyanine green allowed for direct visualization of the biliary system allowing for a safe identification of the critical view of safety. Injection of indocyanine green for fluorescent cholangiography through percutaneous cholecystostomy drainage catheters is reliable to assess the critical view of safety and allows for improved identification of the biliary tree anatomy. Administration of indocyanine green through the percutaneous cholecystostomy drainage catheters avoided background hepatic fluorescence and increased contrast between biliary structures.

Indexed as

cholecystitisindocyanine greenlaparoscopic cholecystectomypercutaneous cholecystostomy

Identifiers

PMID38706473
PMCPMC11066793

What OpenQuestion holds

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Registered trials

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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.