Evidence map›Paper›PMID 38656942›Full record

ArticleDiabetes2024

Interrelationships Among Accumulations of Intra- and Periorgan Fats, Visceral Fat, and Subcutaneous Fat.

Kento Mitsushio, Megu Y Baden, Takuya Kagisaki, Sarasa Kato, Akiko Niki, Risa Takayama, Tomomi Horii, Harutoshi Ozawa, Chisaki Ishibashi, Yoshiya Hosokawa and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  7. Observational
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  14. Mechanisms by which obesity regulates inflammation and anti-tumor immunity in cancer.Biochemical and biophysical research communications · 2024
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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.

Kento MitsushioDepartment of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.ORCID 0000-0002-3856-7673
Megu Y BadenDepartment of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.ORCID 0000-0002-7678-0969
Takuya KagisakiDepartment of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.
Sarasa KatoDepartment of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.
Akiko NikiDepartment of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.
Risa TakayamaDepartment of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.
Tomomi HoriiDepartment of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.
Harutoshi OzawaDepartment of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.
Chisaki IshibashiDepartment of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.
Yoshiya HosokawaDepartment of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.
Yukari FujitaDepartment of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.
Junji KozawaDepartment of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.
Iichiro ShimomuraDepartment of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.
The University of Osaka · JP

Funding

Grants-in-Aid for Scientific Research 21K17660
6 · The paper itself

Abstract

We aimed to clarify the relationship between intra- and periorgan fats, visceral fat, and subcutaneous fat. We used abdominal computed tomography to evaluate intra- and periorgan fat accumulations in the pancreas, liver, spleen, renal parenchyma, renal sinus, and skeletal muscle. The relationships between these fats, visceral fat, and subcutaneous fat were examined by using partial correlation and covariance analysis, adjusting for BMI. We found that visceral fat and all intra- and periorgan fat accumulations were positively correlated, whereas subcutaneous fat and accumulations of all intra- and periorgan fats and visceral fat were negatively correlated. Individuals with excessive visceral fat accumulation had significantly greater accumulations of fat in the pancreas, liver, renal sinus, and skeletal muscle than those without excessive visceral fat accumulation (P = 0.01, 0.006, 0.008, and 0.02, respectively). In conclusion, all intra- and periorgan fat accumulations show a positive correlation with visceral fat and a negative correlation with subcutaneous fat, independent of BMI. ARTICLE HIGHLIGHTS:

Indexed as

Intra-Abdominal FatSpleenSubcutaneous FatTomography, X-Ray ComputedAdultAgedBody Mass IndexFemaleHumansKidneyLiverMaleMiddle AgedMuscle, SkeletalPancreas

Identifiers

PMID38656942
PMCPMC11189825
OpenAlexW4395112941

What OpenQuestion 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 OpenQuestion graph.