Evidence map›Paper›PMID 26701881›Full record

ArticleJournal of the Royal Society, Interface2015

Growth, ageing and scaling laws of coronary arterial trees.

Xi Chen, Pei Niu, Xiaolong Niu, Wenzeng Shen, Fei Duan, Liang Ding, Xiliang Wei, Yanjun Gong, Yong Huo, Ghassan S Kassab and 2 more

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Intraspecific scaling laws are preserved in ventricular hypertrophy but not in heart failure.American journal of physiology. Heart and circulatory physiology · 2016
    Article
  10. Impact of coronary bifurcation morphology on wave propagation.American journal of physiology. Heart and circulatory physiology · 2016
    Article
  11. 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

12 authors at 2 institutions in 2 countries.

Xi ChenDepartment of Mechanics and Engineering Science, Peking University, Beijing, People's Republic of China State Key Laboratory for Turbulence and Complex Systems, College of Engineering, Peking University, Beijing, People's Republic of China.
Pei NiuCollege of Medicine, Hebei University, Baoding, People's Republic of China.
Xiaolong NiuCollege of Medicine, Hebei University, Baoding, People's Republic of China.
Wenzeng ShenCollege of Medicine, Hebei University, Baoding, People's Republic of China.
Fei DuanCollege of Medicine, Hebei University, Baoding, People's Republic of China.
Liang DingCollege of Medicine, Hebei University, Baoding, People's Republic of China.
Xiliang WeiCollege of Medicine, Hebei University, Baoding, People's Republic of China.
Yanjun GongDepartment of Cardiology, Peking University First Hospital, Beijing, People's Republic of China.
Yong HuoDepartment of Cardiology, Peking University First Hospital, Beijing, People's Republic of China.
Ghassan S KassabCalifornia Medical Innovations Institute, San Diego, CA 92121, USA.
Wenchang TanDepartment of Mechanics and Engineering Science, Peking University, Beijing, People's Republic of China State Key Laboratory for Turbulence and Complex Systems, College of Engineering, Peking University, Beijing, People's Republic of China Shenzhen Graduate School, Peking University, Shenzhen, People's Republic of China tanwch@pku.edu.cn.
Yunlong HuoDepartment of Mechanics and Engineering Science, Peking University, Beijing, People's Republic of China State Key Laboratory for Turbulence and Complex Systems, College of Engineering, Peking University, Beijing, People's Republic of China yhuo@pku.edu.cn.
Peking University · CNHebei University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the well-known design principles of vascular systems, it is unclear whether the vascular arterial tree obeys some scaling constraints during normal growth and ageing in a given species. Based on the micro-computed tomography measurements of coronary arterial trees in mice at different ages (one week to more than eight months), we show a constant exponent of 3/4, but age-dependent scaling coefficients in a length-volume scaling law (Lc=K(length-volume) · Vc³/⁴; Lc is the crown length, Vc is the crown volume, K(length-volume) is the age-dependent scaling coefficient) during normal growth and ageing. The constant 3/4 exponent represents the self-similar fractal-like branching pattern (i.e. basic mechanism to regulate the development of vascular trees within a species), whereas the age-dependent scaling coefficients characterize the structural growth or resorption of vascular trees during normal growth or ageing, respectively. This study enhances the understanding of age-associated changes in vascular structure and function.

Indexed as

Models, CardiovascularAgingAnimalsCoronary VesselsMicearterial treegrowth and ageingscaling law

Identifiers

PMID26701881
PMCPMC4707856
OpenAlexW2272440291

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.