Evidence mapPaperPMID 41822912Full record

ReviewResearch (Washington, D.C.)2026

Advances in Surface Biofunctionalization and Intelligent Monitoring of Vascular Scaffolds.

Muhammad Rafique, Onaza Ali, Muhammad Shehr Yar Ali Khan Niazi, Jialing Zhang, Muhammad Shafiq, Jun Fang

Abstract readReview
In one paragraph

Review in Research (Washington, D.C.), 2026. 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

6 authors.

Muhammad RafiqueSchool of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200240, China.
Onaza AliSchool of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200240, China.
Muhammad Shehr Yar Ali Khan NiaziSchool of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200240, China.
Jialing ZhangInstitute of Pediatrics, National Health Commission (NHC) Key Laboratory of Neonatal Diseases, Children's Hospital of Fudan University, Shanghai 201102, China.
Muhammad ShafiqResearch Centre for Integrative Physiology & Pharmacology, Institute of Biomedicine, Faculty of Medicine, University of Turku, Turku, Finland.ORCID https://orcid.org/0000-0002-5887-5032
Jun FangSchool of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200240, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vascular scaffolds are fundamental devices in treating vascular occlusions, aneurysms, and hemodialysis access. However, their long-term efficacy is often compromised by 2 major pathophysiological responses: acute thrombosis and intimal hyperplasia, underscoring the need for effective antithrombotic treatment and intensive surveillance. This review highlights the emerging approaches used to address such challenges in vascular scaffolds: surface biofunctionalization and intelligent monitoring systems. We first introduce the leading biodegradable elastic polymers for vascular scaffolds, followed by a comprehensive overview of surface biofunctionalization techniques for preventing thrombosis and promoting endothelialization. The review further explores the cutting-edge advances in integrating flexible bioelectronics with cardiovascular implants for intelligent real-time monitoring of hemodynamics, thrombosis, and restenosis. It concludes with a discussion of the remaining challenges and future perspectives, thereby promoting the development of more effective cardiovascular therapies and their clinical applications.

Identifiers

PMID41822912
PMCPMC12976488

What Socratic 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 Socratic graph.