Evidence map›Paper›PMID 34702849›Full record

Trial reportScientific reports2021

Insulin resistance and muscle weakness are synergistic risk factors for silent lacunar infarcts: the Bunkyo Health Study.

Yuki Someya, Yoshifumi Tamura, Hideyoshi Kaga, Daisuke Sugimoto, Satoshi Kadowaki, Ruriko Suzuki, Shigeki Aoki, Nobutaka Hattori, Yumiko Motoi, Kazunori Shimada and 6 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Progression of enlarged perivascular spaces contributes to occurrence of silent lacunar infarction in the elderly.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. 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

16 authors at 1 institution in 1 country.

Yuki SomeyaSportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Yoshifumi TamuraSportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan. ys-tamur@juntendo.ac.jp.
Hideyoshi KagaDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Daisuke SugimotoDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Satoshi KadowakiDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Ruriko SuzukiDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Shigeki AokiSportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Nobutaka HattoriSportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Yumiko MotoiSportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Kazunori ShimadaSportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Hiroyuki DaidaSportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Muneaki IshijimaSportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Kazuo KanekoSportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Shuko NojiriMedical Technology Innovation Center, Juntendo University, Tokyo, Japan.
Ryuzo KawamoriSportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Hirotaka WatadaSportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Juntendo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin resistance and muscle weakness are risk factors for silent lacunar infarcts (SLI), but it is unclear whether they are still independent risk factors when adjusted for each other. In addition, the effect of their combination on SLI is completely unknown. We evaluated SLI, insulin sensitivity, and knee extensor muscle strength by magnetic resonance imaging, PREDIM, and dynamometer, respectively, in 1531 elderly people aged 65-84 years living in an urban area of Tokyo. Among the study subjects, 251 (16.4%) had SLI. Impaired insulin sensitivity (High; 1.00 [reference], Medium; 1.53 [95% confidence interval (CI) 0.94-2.48], Low; 1.86 [1.02-3.39], p for trend 0.047) and reduced muscle strength (High; 1.00 [reference], Medium; 1.40 [0.98-2.02], Low; 1.49 [1.04-2.15], p for trend 0.037) were independently associated with increased risk for SLI in the fully adjusted model. In terms of combined, subjects classified as having the lowest insulin sensitivity and lowest strength were 4.33 times (95% CI 1.64-11.45) more likely to have a SLI than those classified as having the highest insulin sensitivity and highest strength. Impaired insulin sensitivity and reduced muscle strength were independently associated with higher risk of SLI in elderly subjects, and their combination synergistically increased this risk.

Indexed as

Insulin ResistanceModels, CardiovascularMuscle WeaknessStroke, LacunarUrban PopulationAgedAged, 80 and overFemaleHumansJapanMaleMiddle AgedProspective StudiesRisk Factors

Identifiers

PMID34702849
PMCPMC8548532
OpenAlexW3211317988

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.