Evidence map›Paper›PMID 37250153›Full record

ReviewActa pharmaceutica Sinica. B2023

Self-therapeutic metal-based nanoparticles for treating inflammatory diseases.

Ruifang Han, Yu Xiao, Qianqian Bai, Chung Hang Jonathan Choi

Open access · diamondAbstract readReview
PubMed Full text at PMC Publisher
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 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  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

4 authors at 1 institution in 1 country.

Ruifang HanDepartment of Biomedical Engineering, the Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.
Yu XiaoDepartment of Biomedical Engineering, the Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.
Qianqian BaiDepartment of Biomedical Engineering, the Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.
Chung Hang Jonathan ChoiDepartment of Biomedical Engineering, the Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.
Chinese University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory diseases are key contributors to high mortality globally and adversely affect the quality of life. Current treatments include corticosteroids or nonsteroidal anti-inflammatories that may cause systemic toxicity and biologics that may increase the risk of infection. Composite nanoparticles that bear not only the drug payload but also targeting ligands for delivery to inflammation sites at lowered systemic toxicity are established in the nanomedicine field, but their relatively large size often leads to systemic clearance. Metal-based nanoparticles with intrinsic anti-inflammatory properties represent attractive alternatives. They are not only designed to be compact for crossing biological barriers (with the nanoparticle serving as a dual carrier and drug), but also support label-free tracking of their interactions with cells. The review commences with an outline of the common inflammatory diseases, inflammatory pathways involved, and conventional drug-loaded nanoparticles for anti-inflammation. Next, the review features the emerging applications of self-therapeutic metal-based nanoparticles (

Indexed as

Clinical translationDeliveryGold nanoparticlesInflammatory diseaseMetal-based nanoparticlesNanomedicineReactive oxygen speciesSelf-therapeutic

Identifiers

PMID37250153
PMCPMC10213990
OpenAlexW4286251277

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.