Evidence map›Paper›PMID 35557915›Full record

ArticleRSC advances2018

Dual-generation dendritic mesoporous silica nanoparticles for co-delivery and kinetically sequential drug release.

Yanxin Liu, Baolin Huang, Jiaoyang Zhu, Kailin Feng, Yuan Yuan, Changsheng Liu

Abstract read
In one paragraph

Article in RSC advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Porous silicon and silica carriers for delivery of peptide therapeutics.Drug delivery and translational research · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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.

Yanxin LiuKey Laboratory for Ultrafine Materials of Ministry of Education, East China University of Science and Technology Shanghai 200237 P. R. China yyuan@ecust.edu.cn +86-21-54283420 +86-21-64251308.
Baolin HuangKey Laboratory for Ultrafine Materials of Ministry of Education, East China University of Science and Technology Shanghai 200237 P. R. China yyuan@ecust.edu.cn +86-21-54283420 +86-21-64251308.
Jiaoyang ZhuKey Laboratory for Ultrafine Materials of Ministry of Education, East China University of Science and Technology Shanghai 200237 P. R. China yyuan@ecust.edu.cn +86-21-54283420 +86-21-64251308.
Kailin FengKey Laboratory for Ultrafine Materials of Ministry of Education, East China University of Science and Technology Shanghai 200237 P. R. China yyuan@ecust.edu.cn +86-21-54283420 +86-21-64251308.
Yuan YuanKey Laboratory for Ultrafine Materials of Ministry of Education, East China University of Science and Technology Shanghai 200237 P. R. China yyuan@ecust.edu.cn +86-21-54283420 +86-21-64251308.ORCID https://orcid.org/0000-0001-7877-3175
Changsheng LiuKey Laboratory for Ultrafine Materials of Ministry of Education, East China University of Science and Technology Shanghai 200237 P. R. China yyuan@ecust.edu.cn +86-21-54283420 +86-21-64251308.ORCID https://orcid.org/0000-0001-5569-1038

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although multi-drug synergetic therapy is increasingly important in clinical application, sophisticated delivery systems with the ability to deliver multiple drugs and realize sequential release with independently tunable kinetics at different stages are highly desirable. In this study, a dual-generation mesoporous silica nanoparticle (DAMSN) with three-dimensional dendrimer-like structure as an adaptable dual drug delivery system is developed. The DAMSN was synthesized

Identifiers

PMID35557915
PMCPMC9091476

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Registered trials

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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.