Evidence map›Paper›PMID 41917337›Full record

ArticleInternational journal of clinical oncology2026

Visceral adipose tissue-to-blood pool standardized uptake ratio by

Ryosuke Fukushima, Kenichiro Araki, Takayuki Okuyama, Takaomi Seki, Kouki Hoshino, Kei Hagiwara, Shunsuke Kawai, Mariko Tsukagoshi, Takamichi Igarashi, Norio Kubo and 3 more

Abstract read
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Article in International journal of clinical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ryosuke FukushimaDivision of Hepatobiliary and Pancreatic Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showamachi, Maebashi, Japan.
Kenichiro ArakiDivision of Hepatobiliary and Pancreatic Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showamachi, Maebashi, Japan. karaki@gunma-u.ac.jp.ORCID http://orcid.org/0000-0002-5438-4551
Takayuki OkuyamaDivision of Hepatobiliary and Pancreatic Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showamachi, Maebashi, Japan.
Takaomi SekiDivision of Hepatobiliary and Pancreatic Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showamachi, Maebashi, Japan.
Kouki HoshinoDivision of Hepatobiliary and Pancreatic Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showamachi, Maebashi, Japan.
Kei HagiwaraDivision of Hepatobiliary and Pancreatic Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showamachi, Maebashi, Japan.
Shunsuke KawaiDivision of Hepatobiliary and Pancreatic Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showamachi, Maebashi, Japan.
Mariko TsukagoshiDivision of Hepatobiliary and Pancreatic Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showamachi, Maebashi, Japan.
Takamichi IgarashiDivision of Hepatobiliary and Pancreatic Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showamachi, Maebashi, Japan.
Norio KuboDivision of Hepatobiliary and Pancreatic Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showamachi, Maebashi, Japan.
Norifumi HarimotoDivision of Hepatobiliary and Pancreatic Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showamachi, Maebashi, Japan.
Tetsuya HiguchiDepartment of Diagnostic Radiology and Nuclear Medicine, Graduate School of Medicine, Gunma University, Maebashi, Japan.
Ken ShirabeDivision of Hepatobiliary and Pancreatic Surgery, Department of General Surgical Science, Graduate School of Medicine, Gunma University, 3-39-22 Showamachi, Maebashi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExcessive accumulation of visceral adipose tissue (VAT), or obesity, has an association with cholangiocarcinoma prognosis. We hypothesized that qualitative assessment of VAT would have prognostic significance as well as quantitative assessment. The aim of this study was to measure

methodsWe retrospectively studied 103 patients with extrahepatic cholangiocarcinoma who underwent surgical resection from April 2017 to April 2023.

resultsThe optimal VBR cutoff value to predict overall survival (OS) was 0.360. Compared with the low VBR group, the high VBR group was significantly associated with lower body mass index, skeletal muscle index, visceral fat area, subcutaneous fat area, and liver SUV. In the multivariate analysis, patients with a high VBR had poorer OS compared with those with a low VBR. Moreover, the VBR was significantly higher in patients with vs without malnutrition by the GLIM criteria. The VBR showed the lowest Akaike information criteria statistic value among the assessed parameters, indicating that it had the best ability to predict OS.

conclusionsThis study suggested that the VBR, determined by

Indexed as

Bile Duct NeoplasmsCholangiocarcinomaIntra-Abdominal FatMalnutritionPositron Emission Tomography Computed TomographyAdultAgedFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedPrognosisRadiopharmaceuticalsRetrospective StudiesFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG–PET/CTExtrahepatic cholangiocarcinomaMalnutritionPrognosisVisceral adipose tissue

Identifiers

PMID41917337

What Socratic holds

Textmetadata
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 Socratic graph.