Evidence map›Paper›PMID 35831677›Full record

ArticleSurgical endoscopy2022

Resection type is a predictor of postoperative complications in laparoscopic partial liver resection.

Akihiro Tanemura, Shugo Mizuno, Koki Maeda, Toru Shinkai, Takahiro Ito, Aoi Hayasaki, Kazuyuki Gyoten, Takehiro Fujii, Yusuke Iizawa, Yasuhiro Murata and 3 more

Abstract read
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Article in Surgical endoscopy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

13 authors at 1 institution in 1 country.

Akihiro TanemuraDepartment of Hepatobiliary Pancreatic and Transplant Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-0001, Japan. taneamail0827@gmail.com.ORCID http://orcid.org/0000-0002-6802-8611
Shugo MizunoDepartment of Hepatobiliary Pancreatic and Transplant Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-0001, Japan.
Koki MaedaDepartment of Hepatobiliary Pancreatic and Transplant Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-0001, Japan.
Toru ShinkaiDepartment of Hepatobiliary Pancreatic and Transplant Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-0001, Japan.
Takahiro ItoDepartment of Hepatobiliary Pancreatic and Transplant Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-0001, Japan.
Aoi HayasakiDepartment of Hepatobiliary Pancreatic and Transplant Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-0001, Japan.
Kazuyuki GyotenDepartment of Hepatobiliary Pancreatic and Transplant Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-0001, Japan.
Takehiro FujiiDepartment of Hepatobiliary Pancreatic and Transplant Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-0001, Japan.
Yusuke IizawaDepartment of Hepatobiliary Pancreatic and Transplant Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-0001, Japan.
Yasuhiro MurataDepartment of Hepatobiliary Pancreatic and Transplant Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-0001, Japan.
Naohisa KuriyamaDepartment of Hepatobiliary Pancreatic and Transplant Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-0001, Japan.
Masashi KishiwadaDepartment of Hepatobiliary Pancreatic and Transplant Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-0001, Japan.
Hiroyuki SakuraiDepartment of Hepatobiliary Pancreatic and Transplant Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-0001, Japan.
Mie University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPartial laparoscopic liver resection (LLR) is a procedure that can have varying levels of surgical difficulty depending on the tumor status and procedure. Therefore, we aimed to evaluate the surgical outcomes of partial LLR using a new resection classification system.

methodsFrom January 2009 to May 2021, 156 patients underwent LLR; of them, 87 patients who underwent pure partial LLR were included in this study. They were classified according to the IWATE criteria as the low (n = 56) and intermediate (n = 31) difficulty groups and reclassified according to the resection type as the edge (ER, n = 45), bowl-shaped (BSR, n = 27), and dome-shaped resection (DSR, n = 15) groups. The following surgical outcomes were comparatively analyzed among the groups: intraoperative blood loss, the operation time, and complication rates. Preoperative risk factors for intraoperative blood transfusion and complications were evaluated.

resultsIn the IWATE criteria-based analysis, the intermediate-difficulty group had significantly higher intraoperative blood loss (p = 0.005), operation time (p = 0.005), and Clavien-Dindo (CD) grade-based complication rates (CD grade 2 or higher, p = 0.03) than the low-difficulty group. When analyzing the resection type, the CD grade-based complication rate (p = 0.013) and surgical site infection (SSI, p = 0.005) were significantly higher and the postoperative hospitalization was significantly longer (p = 0.028) in the bowl-shaped resection (BSR) group than in the edge- (ER) and dome-shaped resection (DSR) groups. The tumor size (p = 0.011) and IWATE criteria score (p = 0.006) were independent risk factors for intraoperative blood transfusion in the multivariate analysis. The tumor depth (p = 0.011) and BSR (p = 0.002) were independent risk factors for complications of CD grade 2 or higher in the multivariate analysis. BSR was an independent risk factor for SSI in the multivariate analysis (p = 0.017).

conclusionsResection type could predict the rate of postoperative complications, while the IWATE criteria could predict the intraoperative surgical difficulty.

Indexed as

LaparoscopyLiver NeoplasmsBlood Loss, SurgicalHepatectomyHumansLength of StayPostoperative ComplicationsRetrospective StudiesDifficulty scoreIWATE criteriaLaparoscopic liver resectionPartial liver resectionResection typeTumor depth

Identifiers

PMID35831677
OpenAlexW4285392271

What OpenQuestion holds

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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.