Evidence map›Paper›PMID 38004118›Full record

ArticleNutrients2023

Insulin Resistance: A Marker for Fat-to-Lean Body Composition in Japanese Adults.

Masahiro Matsui, Akira Fukuda, Saori Onishi, Kosuke Ushiro, Tomohiro Nishikawa, Akira Asai, Soo Ki Kim, Hiroki Nishikawa

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Body Composition in Chronic Liver Disease.International journal of molecular sciences · 2024
    Review
  7. 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

8 authors at 2 institutions in 1 country.

Masahiro MatsuiSecond Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki 569-8686, Japan.ORCID 0000-0002-5211-4021
Akira FukudaHealth Science Clinic, Osaka Medical and Pharmaceutical University, Takatsuki 569-8686, Japan.
Saori OnishiSecond Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki 569-8686, Japan.
Kosuke UshiroSecond Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki 569-8686, Japan.
Tomohiro NishikawaSecond Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki 569-8686, Japan.
Akira AsaiSecond Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki 569-8686, Japan.ORCID 0000-0002-2915-7875
Soo Ki KimDepartment of Gastroenterology, Kobe Asahi Hospital, Kobe 653-8501, Japan.
Hiroki NishikawaSecond Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki 569-8686, Japan.
Osaka University of Pharmaceutical Sciences · JPKobe Asahi Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We sought to investigate the relationship between insulin resistance (IR) and body composition as assessed by bioelectrical impedance analysis in Japanese health check-up recipients (1186 men and 1441 women). IR was defined as a Homeostasis Model Assessment of IR (HOMA-IR) ≥ 2.5. In body-composition-related parameters, the fat mass index (F index) was defined as fat mass divided by the height squared (kg/m

Indexed as

Insulin ResistanceAdipose TissueAdultBody CompositionBody Mass IndexEast Asian PeopleFemaleHumansInsulinMaleMultivariate AnalysisInsulinfatfat and muscle balanceinsulin resistanceJapanese adultsskeletal muscle

Identifiers

PMID38004118
PMCPMC10675297
OpenAlexW4388538653

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.