Evidence map›Paper›PMID 37969739›Full record

ReviewActa pharmaceutica Sinica. B2023

Biomimetic nanomedicines for precise atherosclerosis theranostics.

Ying Tao, Xinmiao Lan, Yang Zhang, Chenxing Fu, Lu Liu, Feng Cao, Weisheng Guo

Abstract readReview
In one paragraph

Review in Acta pharmaceutica Sinica. B, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. BCL-2/BCL-xL inhibitor pelcitoclax with osimertinib forJournal for immunotherapy of cancer · 2026
    Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. 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

7 authors.

Ying TaoDepartment of Minimally Invasive Interventional Radiology, Key Laboratory of Molecular Target & Clinical Pharmacology, School of Biomedical Engineering & the Second Affiliated Hospital, Guangzhou Medical University, Guangzhou 510260, China.
Xinmiao LanSchool of Pharmaceutical Sciences, Capital Medical University, Beijing 100069, China.
Yang ZhangDepartment of Cardiology, the Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China.
Chenxing FuDepartment of Cardiology and Laboratory of Heart Center, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.
Lu LiuDepartment of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, the University of Hong Kong, Hong Kong SAR 999077, China.
Feng CaoDepartment of Cardiology, the Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China.
Weisheng GuoDepartment of Minimally Invasive Interventional Radiology, Key Laboratory of Molecular Target & Clinical Pharmacology, School of Biomedical Engineering & the Second Affiliated Hospital, Guangzhou Medical University, Guangzhou 510260, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atherosclerosis (AS) is a leading cause of the life-threatening cardiovascular disease (CVD), creating an urgent need for efficient, biocompatible therapeutics for diagnosis and treatment. Biomimetic nanomedicines (bNMs) are moving closer to fulfilling this need, pushing back the frontier of nano-based drug delivery systems design. This review seeks to outline how these nanomedicines (NMs) might work to diagnose and treat atherosclerosis, to trace the trajectory of their development to date and in the coming years, and to provide a foundation for further discussion about atherosclerotic theranostics.

Indexed as

Active targetingAtherosclerosisBiomimetic nanomedicinesDiagnosis and treatmentDrug deliveryNanotheranosticsPassive targetingPlaques

Identifiers

PMID37969739
PMCPMC10638499

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.