Evidence map›Paper›PMID 35873739›Full record

ArticleTurkish journal of surgery2022

Laparoscopic liver right posterior sectionectomies; surgical technique and clinical results of a single surgeon experience.

Muharrem Öztaş, Emin Lapsekili, Mehmet Fatih Can

Abstract read
In one paragraph

Article in Turkish journal of surgery, 2022. 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

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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

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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

3 authors.

Muharrem ÖztaşDepartment of of General Surgery, Gülhane Training and Research Hospital, University of Health Sciences, Ankara, Turkey.ORCID 0000-0001-6819-6511
Emin LapsekiliDepartment of of General Surgery, Gülhane Training and Research Hospital, University of Health Sciences, Ankara, Turkey.ORCID 0000-0001-5910-1154
Mehmet Fatih CanDepartment of General Surgery, Lokman Hekim University Faculty of Medicine, Ankara, Turkey.ORCID 0000-0002-3866-2419

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Laparoscopic liver resections have been performed with increasing frequency in recent years. With increasing surgical experience and technological developments, more complex laparoscopic liver resections can now be applied. Laparoscopic right posterior sectionectomy (LSPS) requires a sophisticated and highly challenging surgical technique due to the length of the parenchyma transection line and the camera out of view in laparoscopic surgery. The aim of this study was to share tips and tricks about resection which will contribute to the operation time and technique. Material and Methods: Evaluation was made of the laparoscopic major liver resections performed consecutively between 2015-2020 in our center. During the resections, three different inflow control techniques were used; hilar, glassonian and intraparenchymal approach. Results: A total of 14 LSPS surgeries were performed. Mean age of the patients was 51.6 ± 10.2 years (34-68), and mean operation time was 300 ± 58 (200-440) minutes. The Pringle maneuver was applied to all patients, with a mean time of 58.4 ± 14.4 (30-75) minutes. Mean perioperative bleeding was measured as 290 ± 105 (140-550) mL. Additional surgery was performed on six patients in the same session. Complications occurred in three patients. No perioperative mortality was observed. Conclusion: LSPS is a technically difficult process, which requires advanced skills in both liver surgery and laparoscopic surgery. Surgeons should consider applying this method, which offers different advantages depending on the location and nature of the lesion, after completing the learning curve by performing laparoscopic liver surgery of the correct number and type. In our article, we stated the tips and tricks that make it easy to perform laparoscopic right posterior sectionectomies, which have been thought to be difficult until recently and these difficulties have been clearly stated in many articles.

Indexed as

Hepatobiliary surgerylaparoscopicliver resectionright posteriorsectionectomytechniques

Identifiers

PMID35873739
PMCPMC9278364

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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.