Evidence map›Paper›PMID 38557646›Full record

ArticleJournal of minimal access surgery2024

Laparoscopic necrosectomy for acute necrotising pancreatitis: Retrospective analysis of a decade-long experience from a tertiary centre.

Srivatsan Gurumurthy Sivakumar, Monika Sekaran, Srinivasan Muthukrishnan, Anand Vijai Natesan, V P Nalankilli, Palanisamy Senthilnathan, Chinnusamy Palanivelu

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
1.7field-weighted citation impact, top 17% 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, 3 citations in OpenAlex.

  1. Review
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

7 authors at 1 institution in 1 country.

Srivatsan Gurumurthy SivakumarDepartment of HPB, Minimal Access Surgery and Liver Transplant, Gem Hospital, Chennai, Tamil Nadu, India.
Monika Sekaran
Srinivasan Muthukrishnan
Anand Vijai Natesan
V P Nalankilli
Palanisamy Senthilnathan
Chinnusamy Palanivelu
Gastroenterology Medical Center and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe objective of this study is to evaluate the role of minimally invasive surgery for the management of necrotising pancreatitis in acute settings and to propose tailor-made approaches to deal with various locations of pancreatic necrosis. PATIENTS AND

methodsThree hundred and thirteen patients underwent laparoscopic management of necrotising pancreatitis in this study period from January 2010 to June 2021, out of which 122 patients underwent minimally invasive necrosectomy for acute necrotising pancreatitis. The remaining 191 patients underwent laparoscopic internal drainage in the form of cystogastrostomy/cystojejunostomy for walled-off pancreatic necrosis.

resultsMean body mass index was 26.45 ± 3.78 kg/sqm. Mean operating time was 56.40 ± 20.48 min and mean blood loss was 120 ± 31.45 mL. Ten patients required reoperation (6 underwent open procedure and 4 underwent laparoscopic redo necrosectomy). Six patients died of multi-organ failure. The mean duration of return of bowel function was 5 ± 1.8 days. The mean length of hospital stay after surgery was 10.19 ± 7.09 days. There were no major wound-related complications.

conclusionA minimally invasive approach to pancreatic necrosectomy is safe and feasible with good outcomes in centres with advanced laparoscopic expertise. It requires not only careful case selection but also proper timing and the ideal route of access to achieve optimal outcomes.

Identifiers

PMID38557646
PMCPMC11095801
OpenAlexW4393374187

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.