Evidence map›Paper›PMID 36678912›Full record

ArticlePharmaceutics2023

Stimuli-Responsive Triblock Terpolymer Conversion into Multi-Stimuli-Responsive Micelles with Dynamic Covalent Bonds for Drug Delivery through a Quick and Controllable Post-Polymerization Reaction.

Eva Hlavatovičová, Roberto Fernandez-Alvarez, Katarzyna Byś, Sami Kereïche, Tarun K Mandal, Leonard Ionut Atanase, Miroslav Štěpánek, Mariusz Uchman

Abstract read
In one paragraph

Article in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Nanogels as novel drug nanocarriers for CNS drug delivery.Frontiers in molecular biosciences · 2023
    Review
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

8 authors.

Eva HlavatovičováDepartment of Physical and Macromolecular Chemistry, Charles University, Hlavova 2030, 12843 Prague 2, Czech Republic.
Roberto Fernandez-AlvarezDepartment of Physical and Macromolecular Chemistry, Charles University, Hlavova 2030, 12843 Prague 2, Czech Republic.
Katarzyna ByśDepartment of Physical and Macromolecular Chemistry, Charles University, Hlavova 2030, 12843 Prague 2, Czech Republic.ORCID 0000-0003-3589-0763
Sami KereïcheDepartment of Physical and Macromolecular Chemistry, Charles University, Hlavova 2030, 12843 Prague 2, Czech Republic.
Tarun K MandalSchool of Chemical Sciences, Indian Association for the Cultivation of Science, Jadavpur, Kolkata 700032, India.
Leonard Ionut AtanaseFaculty of Medical Dentistry, "Apollonia" University of Iasi, 700511 Iasi, Romania.ORCID 0000-0002-3657-1492
Miroslav ŠtěpánekDepartment of Physical and Macromolecular Chemistry, Charles University, Hlavova 2030, 12843 Prague 2, Czech Republic.ORCID 0000-0002-7636-7234
Mariusz UchmanDepartment of Physical and Macromolecular Chemistry, Charles University, Hlavova 2030, 12843 Prague 2, Czech Republic.ORCID 0000-0002-2564-1985

Funding

Ministry of Education of Czech Republic INTER-EXCELLENCE Czech-India grant LTAIN 19078Ministry of Education of Czech Republic Project No. CZ.02.1.01/0.0/0.0/15_003/0000417-CUCAM
6 · The paper itself

Abstract

Stimuli-responsive copolymers are of great interest for targeted drug delivery. This study reports on a controllable post-polymerization quaternization with 2-bromomethyl-4-fluorophenylboronic acid of the poly(4-vinyl pyridine) (P4VP) block of a common poly(styrene)-

Indexed as

alizarindrug delivery systemsmicellespoly(4-vinyl pyridine)poly(styrene)-b-poly(4-vinyl pyridine)-b-poly(ethylene oxide) terpolymerquaternization

Identifiers

PMID36678912
PMCPMC9867120

What OpenQuestion holds

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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.