Evidence map›Paper›PMID 30662725›Full record

ArticleRoyal Society open science2018

Galactosylated chitosan-functionalized mesoporous silica nanoparticles for efficient colon cancer cell-targeted drug delivery.

Wei Liu, Yongchao Zhu, Fan Wang, Xue Li, Xiaojing Liu, Jingjing Pang, Weisan Pan

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 64 citations in OpenAlex.

  1. Review
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  8. Review
  9. Article
  10. Interactions between Nanoparticles and Intestine.International journal of molecular sciences · 2022
    Review
  11. Review
  12. Polymeric Materials as Potential Inhibitors Against SARS-CoV-2.Journal of polymers and the environment · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
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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

7 authors at 2 institutions in 1 country.

Wei LiuDepartment of Pharmaceutics, School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, People's Republic of China.
Yongchao ZhuDepartment of Pharmaceutics, School of Pharmacy, Zhengzhou University, 100 Science Avenue, Zhengzhou 450001, People's Republic of China.ORCID 0000-0001-8240-7194
Fan WangDepartment of Pharmaceutics, School of Pharmacy, Zhengzhou University, 100 Science Avenue, Zhengzhou 450001, People's Republic of China.
Xue LiDepartment of Pharmaceutics, School of Pharmacy, Zhengzhou University, 100 Science Avenue, Zhengzhou 450001, People's Republic of China.
Xiaojing LiuDepartment of Pharmaceutics, School of Pharmacy, Zhengzhou University, 100 Science Avenue, Zhengzhou 450001, People's Republic of China.
Jingjing PangDepartment of Pharmaceutics, School of Pharmacy, Zhengzhou University, 100 Science Avenue, Zhengzhou 450001, People's Republic of China.
Weisan PanDepartment of Pharmaceutics, School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, People's Republic of China.ORCID 0000-0001-9060-9482
Zhengzhou University · CNShenyang Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted drug delivery to colon cancer cells can significantly enhance the therapeutic efficiency. Herein, we developed 5-fluorouracil (5-FU)-loaded amino-functionalized mesoporous silica nanoparticle (MSN-NH

Indexed as

5-fluorouracilcolon cancergalactosylated chitosanmesoporous silica

Identifiers

PMID30662725
PMCPMC6304116
OpenAlexW2903377623

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.