Evidence map›Paper›PMID 36452040›Full record

ArticleFrontiers in physiology2022

Mathematical analysis for spatial distribution of vessels, mast cells and adipocytes in superficial fascia.

Yingyue Dong, Dandan Zhang, Yingri Cao, Yanfei Zhang, Xiaozhe Sun, Tongsheng Chen, Yuanyuan Zhang, Guoheng Xu

Abstract read
In one paragraph

Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Yingyue DongDepartment of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University, Beijing, China.
Dandan ZhangDepartment of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University, Beijing, China.
Yingri CaoDepartment of Civil Engineering, Tsinghua University, Beijing, China.
Yanfei ZhangDepartment of Anatomy, School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Xiaozhe SunDepartment of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University, Beijing, China.
Tongsheng ChenKey Laboratory of Functional and Clinical Translational Medicine, Department of Physiology, Xiamen Medical College, Xiamen, China.
Yuanyuan ZhangDepartment of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University, Beijing, China.
Guoheng XuDepartment of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a novel origin of adipocytes, the superficial fascia, a typical soft connective tissue, has abundant adipocytes and preadipocytes, accompanied by numerous mast cells. Blood vessels pass through the fascia to form a network structure. The more reasonable statistical analysis methods can provide a new method for in-depth study of soft connective tissue by clarifying the spatial distribution relation between cells (point structure) and blood vessels (linear structure). This study adopted the Guidolin et al. statistical analysis methods used by epidemiology and ecology to quantitatively analyze the distribution pattern and correlations among blood vessels, adipocytes, and mast cells. Image-processing software and self-written computer programs were used to analyze images of whole-mounted fascia, and the relevant data were measured automatically. Voronoi's analysis revealed that the vascular network was non-uniformly distributed. In fascia with average area of 3.75 cm

Indexed as

adipocyteblood vesselcorrelationfasciamast cellspatial pattern

Identifiers

PMID36452040
PMCPMC9702360

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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.