Evidence map›Paper›PMID 33817769›Full record

ArticleUpdates in surgery2021

Computational evaluation of laparoscopic sleeve gastrectomy.

Ilaria Toniolo, Chiara Giulia Fontanella, Michel Gagner, Cesare Stefanini, Mirto Foletto, Emanuele Luigi Carniel

Open access · hybridAbstract read
In one paragraph

Article in Updates in surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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 at 3 institutions in 3 countries.

Ilaria TonioloDepartment of Industrial Engineering, University of Padova, Via Venezia, 1, Padova, Italy. ilaria.toniolo.1@phd.unipd.it.ORCID http://orcid.org/0000-0003-4072-6597
Chiara Giulia FontanellaDepartment of Industrial Engineering, University of Padova, Via Venezia, 1, Padova, Italy.
Michel GagnerDepartment of Surgery, Hôpital du Sacré-Coeur de Montréal, Montreal, Canada.
Cesare StefaniniThe BioRobotics Institute, Sant'Anna School of Advanced Studies, Pontedera, Italy.
Mirto FolettoCentre for Mechanics of Biological Materials, University of Padova, Padova, Italy.
Emanuele Luigi CarnielDepartment of Industrial Engineering, University of Padova, Via Venezia, 1, Padova, Italy.
University of Padua · ITHôpital du Sacré-Cœur de Montréal · CAScuola Superiore Sant'Anna · IT

Funding

Università degli Studi di Padova BIRD183013
6 · The paper itself

Abstract

LSG is one of the most performed bariatric procedures worldwide. It is a safe and effective operation with a low complication rate. Unsatisfactory weight loss/regain may occur, suggesting that the operation design could be improved. A bioengineering approach might significantly help in avoiding the most common complications. Computational models of the sleeved stomach after LSG were developed according to bougie size (range 27-54 Fr). The endoluminal pressure and the basal volume were computed at different intragastric pressures. At an inner pressure of 22.5 mmHg, the basal volume of the 54 Fr configuration was approximately 6 times greater than that of the 27 Fr configuration (57.92 ml vs 9.70 ml). Moreover, the elongation distribution of the gastric wall was assessed to quantify the effect on mechanoreceptors impacting satiety by differencing regions and layers. An increasing trend in elongation strain with increasing bougie size was observed in all cases. The most stressed region and layer were the antrum (approximately 25% higher stress than that in the corpus at 37.5 mmHg) and mucosa layer (approximately 7% higher stress than that in the muscularis layer at 22.5 mmHg), respectively. In addition, the pressure-volume behaviors were reported. Computational models and bioengineering methods can help to quantitatively identify some critical aspects of the "design" of bariatric operations to plan interventions, and predict and increase the success rate. Moreover, computational tools can support the development of innovative bariatric procedures, potentially skipping invasive approaches.

Indexed as

Bariatric SurgeryLaparoscopyObesity, MorbidGastrectomyHumansRetrospective StudiesTreatment OutcomeWeight LossBariatric surgeryBioengineeringComputational modelingLaparoscopic sleeve gastrectomy

Identifiers

PMID33817769
PMCPMC8606391
OpenAlexW3142107529

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.