Evidence map›Paper›PMID 37843171›Full record

ArticleJournal of minimal access surgery2024

The use of indocyanine green and near-infrared imaging in laparoscopic completion cholecystectomy for the management of stump cholecystitis: A case series.

Sanatan Dattaram Bhandarkar, Vishakha Rajendra Kalikar, Advait Patankar, Roy Patankar

Open access · goldAbstract read
In one paragraph

Article in Journal of minimal access surgery, 2024. 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
1.0field-weighted citation impact, top 20% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Sanatan Dattaram BhandarkarDepartment of Surgery, Zen Multispeciality Hospital, Chembur, Mumbai, Maharashtra, India.
Vishakha Rajendra Kalikar
Advait Patankar
Roy Patankar
Axis Multispecialty Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionStump cholecystitis is managed by performing a completion cholecystectomy, which can be done either laparoscopically or by an open method. The use of indocyanine green (ICG) is known to improve the identification of the biliary tree anatomy, facilitating Calot's triangle dissection and shortening surgery, thereby reducing the risk of bile duct injuries and making laparoscopic cholecystectomy safer. PATIENTS AND

methodsA retrospective analysis was performed of prospectively collected data from 15 patients at our institution from March 2016 to March 2021. Magnetic resonance cholangiopancreatography was performed in all 15 cases, showing remnant gall bladder in all cases with calculi within. Four cases had a dilated common bile duct (CBD) with CBD calculi. Endoscopic retrograde cholangiopancreatography (ERCP) and stone removal followed by CBD stenting were performed in the four patients with CBD calculi. These four cases were scheduled for surgery 4 weeks post-ERCP. All 15 patients underwent laparoscopic completion cholecystectomy. The mean operating time was 80 min.

resultsThe post-operative period of all cases was uneventful, and the patients were discharged on post-operative day 2 or day 3. All patients remained asymptomatic during 1-5 years of follow-up.

conclusionLaparoscopic completion cholecystectomy was performed safely in cases of stump cholecystitis and resulted in symptom relief during short-term follow-up. The use of ICG and near-infrared imaging in such cases helps identify the biliary anatomy, may contribute to the safety of laparoscopic completion cholecystectomy and might reduce the duration of surgery.

Identifiers

PMID37843171
PMCPMC11354946
OpenAlexW4387025327

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LicenceCC BY-NC-SA
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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.