Evidence map›Paper›PMID 38322122›Full record

ArticleFrontiers in public health2024

Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping.

Qi An, Qin-He Zhang, Yue Wang, Han-Yue Zhang, Yu-Hui Liu, Zi-Ting Zhang, Mei-Ling Zhang, Liang-Jie Lin, Hui He, Yi-Fan Yang and 4 more

Abstract read
In one paragraph

Article in Frontiers in public health, 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
–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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. 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

14 authors.

Qi AnDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Qin-He ZhangDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Yue WangDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Han-Yue ZhangDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Yu-Hui LiuDepartment of Medical Imaging, Dalian Medical University, Dalian, China.
Zi-Ting ZhangDepartment of Medical Imaging, Dalian Medical University, Dalian, China.
Mei-Ling ZhangDepartment of Medical Imaging, Dalian Medical University, Dalian, China.
Liang-Jie LinPhilips Healthcare, Beijing, China.
Hui HeDepartment of Thyroid, Metabolic Diseases and Hernia Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Yi-Fan YangDepartment of Thyroid, Metabolic Diseases and Hernia Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Peng SunPhilips Healthcare, Beijing, China.
Zhen-Yu ZhouPhilips Healthcare, Beijing, China.
Qing-Wei SongDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Ai-Lian LiuDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To explore the association between type 2 diabetes mellitus (T2DM) and body composition based on magnetic resonance fat fraction (FF) mapping. Methods: A total of 341 subjects, who underwent abdominal MRI examination with FF mapping were enrolled in this study, including 68 T2DM patients and 273 non-T2DM patients. The FFs and areas of visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) and abdominal muscle (AM) were measured at the level of the L1-L2 vertebral. The FF of bone marrow adipose tissue (BMAT) was determined by the averaged FF values measured at the level of T12 and L1 vertebral, respectively. The whole hepatic fat fraction (HFF) and pancreatic fat fraction (PFF) were measured based on 3D semi-automatic segmentation on the FF mapping. All data were analyzed by GraphPad Prism and MedCalc. Results: VAT area, VAT FF, HFF, PFF of T2DM group were higher than those of non-T2DM group after adjusting for age and sex ( Conclusions: In this study, it was found that there were significant associations between T2DM and VAT area, VAT FF, HFF and PFF. In addition, VAT area and PFF were the independent risk factors of T2DM. Especially, PFF showed a high diagnostic performance in discrimination between T2DM and non-T2DM. These findings may highlight the crucial role of PFF in the pathophysiology of T2DM, and it might be served as a potential imaging biomarker of the prevention and treatment of T2DM. Additionally, in individuals without diabetes, focusing on SAT area, VAT area and AM area may help identify potential health risks and provide a basis for targeted weight management and prevention measures.

Indexed as

Diabetes Mellitus, Type 2Body CompositionHumansMagnetic Resonance ImagingObesityPancreasabdominal musclebone marrow adipose tissueectopic fat depositionimaging biomarkermagnetic resonance imaging

Identifiers

PMID38322122
PMCPMC10846073

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.