Evidence map›Paper›PMID 37963139›Full record

ArticlePloS one2023

Understanding surgical smoke in laparoscopy through Lagrangian Coherent Structures.

Sandeep Kumar, Caroline Crowley, Mohammad Faraz Khan, Miguel D Bustamante, Ronan A Cahill, Kevin Nolan

Abstract read
In one paragraph

Article in PloS one, 2023. 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
–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

1 citing paper in PubMed.

  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

6 authors.

Sandeep KumarDepartment of Quantitative Methods, CUNEF Universidad, Madrid, Spain.ORCID 0000-0002-2677-3154
Caroline CrowleySchool of Mechanical and Material Engineering, University College Dublin, Dublin, Ireland.
Mohammad Faraz KhanUCD Centre of Precision Surgery, School of Medicine, University College Dublin, Dublin, Ireland.
Miguel D BustamanteSchool of Mathematics and Statistics, University College Dublin, Dublin, Ireland.ORCID 0000-0003-3360-0304
Ronan A CahillUCD Centre of Precision Surgery, School of Medicine, University College Dublin, Dublin, Ireland.
Kevin NolanSchool of Mechanical and Material Engineering, University College Dublin, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In laparoscopic surgery, one of the main byproducts is the gaseous particles, called surgical smoke, which is found hazardous for both the patient and the operating room staff due to their chemical composition, and this implies a need for its effective elimination. The dynamics of surgical smoke are monitored by the underlying flow inside the abdomen and the hidden Lagrangian Coherent Structures (LCSs) present therein. In this article, for an insufflated abdomen domain, we analyse the velocity field, obtained from a computational fluid dynamics model, first, by calculating the flow rates for the outlets and then by identifying the patterns which are responsible for the transportation, mixing and accumulation of the material particles in the flow. From the finite time Lyapunov exponent (FTLE) field calculated for different cross-sections of the domain, we show that these material curves are dependent on the angle, positions and number of the outlets, and the inlet. The ridges of the backward FTLE field reveal the regions of vortex formation, and the maximum accumulation, details which can inform the effective placement of the instruments for efficient removal of the surgical smoke.

Indexed as

LaparoscopySmokeBaysHumansHydrodynamicsSmoke

Identifiers

PMID37963139
PMCPMC10645321

What OpenQuestion holds

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LicenceCC BY
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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.