Evidence map›Paper›PMID 36693007›Full record

ArticleACS applied materials & interfaces2023

Hierarchical Vessel Network-Supported Tumor Model-on-a-Chip Constructed by Induced Spontaneous Anastomosis.

Yuyuan Zhou, Yue Wu, Ratul Paul, Xiaochen Qin, Yaling Liu

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2023. 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. Mechano-Organ-on-Chip for Cancer Research.International journal of molecular sciences · 2026
    Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Acoustofluidic Engineering of Functional Vessel-on-a-Chip.ACS biomaterials science & engineering · 2023
    Article
  11. Article
  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

5 authors.

Yuyuan ZhouDepartment of Bioengineering, Lehigh University, Bethlehem, Pennsylvania18015, United States.ORCID 0000-0002-8317-4115
Yue WuDepartment of Bioengineering, Lehigh University, Bethlehem, Pennsylvania18015, United States.ORCID 0000-0002-6564-2093
Ratul PaulDepartment of Mechanical Engineering & Mechanics, Lehigh University, Bethlehem, Pennsylvania18015, United States.
Xiaochen QinDepartment of Bioengineering, Lehigh University, Bethlehem, Pennsylvania18015, United States.
Yaling LiuDepartment of Bioengineering, Lehigh University, Bethlehem, Pennsylvania18015, United States.

Funding

Supplement: Hemolysis Prediction Software DevelopmentR01HL131750 · NHLBI · LEHIGH UNIVERSITY · PI LIU, YALING · 2017 to 2021
$2.2M
An Affordable and Versatile Two-Dimensional Cell Isolation and Tracking Platform Based on Image Machine Learning and Maskless Photolithography Single Cell EncapsulationR21EB033102 · NIBIB · LEHIGH UNIVERSITY · PI BERDICHEVSKY, YEVGENY · 2022 to 2023
$434k
NHLBI NIH HHS R01 HL131750NIBIB NIH HHS R21 EB033102
6 · The paper itself

Abstract

The vascular system in living tissues is a highly organized system that consists of vessels with various diameters for nutrient delivery and waste transport. In recent years, many vessel construction methods have been developed for building vascularized on-chip tissue models. These methods usually focused on constructing vessels at a single scale. In this work, a method that can build a hierarchical and perfusable vessel networks was developed. By providing flow stimuli and proper HUVEC concentration, spontaneous anastomosis between endothelialized lumens and the self-assembled capillary network was induced; thus, a perfusable network containing vessels at different scales was achieved. With this simple method, an

Indexed as

Models, TheoreticalNeoplasmsAnastomosis, SurgicalComputer SimulationHumansLab-On-A-Chip Devicesanastomosishierarchical vessel networkHUVECsperfusabletumor modelvessel-on-a-chip

Identifiers

PMID36693007
PMCPMC10249001

What OpenQuestion holds

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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.