Evidence map›Paper›PMID 31418322›Full record

ArticleTissue engineering. Part C, Methods2019

LED-Based Photoacoustic Imaging for Monitoring Angiogenesis in Fibrin Scaffolds.

Yunhao Zhu, Xiaofang Lu, Xiaoxiao Dong, Jie Yuan, Mario L Fabiilli, Xueding Wang

Abstract read
In one paragraph

Article in Tissue engineering. Part C, Methods, 2019. 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
–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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Perspective on fast-evolving photoacoustic tomography.Journal of biomedical optics · 2021
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Vascularization in tissue engineering: fundamentals and state-of-art.Progress in biomedical engineering (Bristol, England) · 2020
    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

6 authors.

Yunhao ZhuDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.
Xiaofang LuDepartment of Radiology, University of Michigan, Ann Arbor, Michigan.
Xiaoxiao DongDepartment of Radiology, University of Michigan, Ann Arbor, Michigan.
Jie YuanDepartment of Electronic Science and Engineering, Nanjing University, Nanjing, China.
Mario L FabiilliDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.
Xueding WangDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.

Funding

Structure, Composition, & Histology Core - Core BP30AR069620 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KARL J JEPSEN · 2016 to 2026
$8.4M
Physiology of Inflammatory Arthritis in High ResolutionR01AR060350 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WANG, XUEDING · 2011 to 2021
$6.0M
Angiogenic growth factor delivery for vascular regeneration in critical limb ischemia using acoustically-responsive scaffoldsR01HL139656 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mario Leonardo Fabiilli · 2018 to 2026
$5.7M
NHLBI NIH HHS R01 HL139656NIAMS NIH HHS P30 AR069620NIAMS NIH HHS R01 AR060350
6 · The paper itself

Abstract

impact statementNoninvasive imaging techniques provide insight into physiology that is complementary to tissue morphology obtained by invasive histology. Optical imaging techniques, such as laser speckle contrast analysis, are used

Indexed as

FibrinFibroblast Growth Factor 2Photoacoustic TechniquesAnimalsDrug ImplantsFemaleMiceMice, Inbred BALB CNeovascularization, PhysiologicDrug ImplantsFibrinFibroblast Growth Factor 2angiogenesisfibrinoptical imagingphotoacoustic imaging

Identifiers

PMID31418322
PMCPMC6761607

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.