Evidence map›Paper›PMID 30979055›Full record

ArticleJournal of clinical medicine2019

A High Visceral-To-Subcutaneous Fat Ratio is an Independent Predictor of Surgical Site Infection after Gastrectomy.

Jung Ho Kim, Jinnam Kim, Woon Ji Lee, Hye Seong, Heun Choi, Jin Young Ahn, Su Jin Jeong, Nam Su Ku, Taeil Son, Hyoung-Il Kim and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 24% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 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

16 authors at 1 institution in 1 country.

Jung Ho KimDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea. qetu1111@yuhs.ac.
Jinnam KimDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea. jam764@yuhs.ac.
Woon Ji LeeDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea. leewj86@yuhs.ac.
Hye SeongDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea. shininghye@yuhs.ac.
Heun ChoiDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea. bh138@yuhs.ac.
Jin Young AhnDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea. comebacktosea@yuhs.ac.
Su Jin JeongDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea. jsj@yuhs.ac.
Nam Su KuDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea. smileboy9@yuhs.ac.ORCID 0000-0002-9717-4327
Taeil SonDepartment of Surgery, Yonsei University College of Medicine, Seoul 03722, Korea. tison@yuhs.ac.ORCID 0000-0002-0327-5224
Hyoung-Il KimDepartment of Surgery, Yonsei University College of Medicine, Seoul 03722, Korea. cairus@yuhs.ac.
Sang Hoon HanDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea. shhan74@yuhs.ac.
Jun Yong ChoiDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea. seran@yuhs.ac.ORCID 0000-0002-2775-3315
Joon-Sup YeomDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea. joonsup.yeom@yuhs.ac.ORCID 0000-0001-8940-7170
Woo Jin HyungDepartment of Surgery, Yonsei University College of Medicine, Seoul 03722, Korea. wjhyung@yuhs.ac.
Young Goo SongDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea. imfell@yuhs.ac.
Sung Hoon NohDepartment of Surgery, Yonsei University College of Medicine, Seoul 03722, Korea. sunghoonn@yuhs.ac.
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have shown that body composition is an important factor that affects surgical site infection (SSI). However, each study has utilized different body composition criteria. Therefore, in this study, we aim to determine the most predictable body composition criteria for the prediction of SSI after gastrectomy. The visceral fat area (VFA), subcutaneous fat area (SFA), and muscle area were assessed by a preoperative-stage computed tomographic (CT) scan. To compare the predictive performance of body composition for SSI, logistic regression models were used, and the models were compared using the receiver operation characteristic (ROC) curve and the area under the curve (AUC) value. Of the 1038 eligible patients, 58 patients (5.6%) developed SSI. The VFA-to-SFA ratio showed the best predictive performance (mean AUC 75.11). The cutoff value for the SSI of the VFA-to-SFA ratio was 0.94, and the sensitivity and specificity were 67.86% and 77.65%, respectively. A multivariate logistic analysis indicated that a total gastrectomy (OR, 2.13;

Indexed as

body compositiongastrectomygastric canceroutcomesrisk factorssurgical site infectionvisceral-to-subcutaneous fat ratio

Identifiers

PMID30979055
PMCPMC6518224
OpenAlexW2937047034

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.