Evidence map›Paper›PMID 37177162›Full record

ReviewPolymers2023

Current Strategies for Engineered Vascular Grafts and Vascularized Tissue Engineering.

Jun Chen, Di Zhang, Lin-Ping Wu, Ming Zhao

Open access · goldAbstract readReview
In one paragraph

Review in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 38 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Jun ChenDepartment of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.
Di ZhangCenter for Chemical Biology and Drug Discovery, Laboratory of Computational Biomedicine, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.
Lin-Ping WuCenter for Chemical Biology and Drug Discovery, Laboratory of Computational Biomedicine, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.ORCID 0000-0001-7579-2987
Ming ZhaoDepartment of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.
Chinese Academy of Sciences · CNZhujiang Hospital · CN

Funding

Chinese Postdoctoral Science Foundation 2021M691464Guangdong Pearl River Talents Program No. 2017GC010411Guangzhou Science and Technology Program SL2022B03J00487National Natural Science Foundation of China 32201111the National Key R&D Program of China No.2019YFA0110500
6 · The paper itself

Abstract

Blood vessels not only transport oxygen and nutrients to each organ, but also play an important role in the regulation of tissue regeneration. Impaired or occluded vessels can result in ischemia, tissue necrosis, or even life-threatening events. Bioengineered vascular grafts have become a promising alternative treatment for damaged or occlusive vessels. Large-scale tubular grafts, which can match arteries, arterioles, and venules, as well as meso- and microscale vasculature to alleviate ischemia or prevascularized engineered tissues, have been developed. In this review, materials and techniques for engineering tubular scaffolds and vasculature at all levels are discussed. Examples of vascularized tissue engineering in bone, peripheral nerves, and the heart are also provided. Finally, the current challenges are discussed and the perspectives on future developments in biofunctional engineered vessels are delineated.

Indexed as

engineered vascular graftsvascularizationvascularized tissue engineeringvasculature

Identifiers

PMID37177162
PMCPMC10181238
OpenAlexW4366989156

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.