Evidence map›Paper›PMID 38239437›Full record

ArticleRSC advances2024

Dual stimuli-responsive polymeric nanoparticles combining soluplus and chitosan for enhanced breast cancer targeting.

Shrouq Twal, Nisrein Jaber, Mayyas Al-Remawi, Islam Hamad, Faisal Al-Akayleh, Walhan Alshaer

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.4field-weighted citation impact, top 2% 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

6 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. SoluplusInternational journal of molecular sciences · 2025
    Review
  6. 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 at 4 institutions in 1 country.

Shrouq TwalFaculty of Pharmacy and Medical Sciences, University of Petra Amman 1196 Jordan malremawi@uop.edu.jo (+962) 797683190.
Nisrein JaberFaculty of Pharmacy, Al Zaytoonah University of Jordan Amman 11733 Jordan.
Mayyas Al-RemawiFaculty of Pharmacy and Medical Sciences, University of Petra Amman 1196 Jordan malremawi@uop.edu.jo (+962) 797683190.
Islam HamadFaculty of Health Sciences, American University of Madaba Amman 11821 Jordan.
Faisal Al-AkaylehFaculty of Pharmacy and Medical Sciences, University of Petra Amman 1196 Jordan malremawi@uop.edu.jo (+962) 797683190.ORCID https://orcid.org/0000-0002-7225-0936
Walhan AlshaerCell Therapy Center, The University of Jordan Amman 11942 Jordan walhan.alshaer@ju.edu.jo (+962) 790823678.ORCID https://orcid.org/0000-0003-2946-7328
American University of Madaba · JOPetra University · JOAl-Zaytoonah University of Jordan · JOUniversity of Jordan · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A dual stimuli-responsive nanocarrier was developed from smart biocompatible chitosan and soluplus graft copolymers. The copolymerization was investigated by differential scanning calorimetry (DSC), thermo-gravimetric analysis (TGA), and Fourier transform infrared (FTIR). The optimized chitosan-soluplus nanoparticles (CS-SP NPs) were further used for the encapsulation of a poorly water-soluble anticancer drug. Tamoxifen citrate (TC) was used as the model drug and it was loaded in CS-SP NPs. TC CS-SP NPs were characterized in terms of particle size, zeta potential, polydispersity, morphology, encapsulation efficiency, and physical stability. The nanoparticles showed homogenous spherical features with a size around 94 nm, a slightly positive zeta potential, and an encapsulation efficiency around 96.66%. Dynamic light scattering (DLS),

Identifiers

PMID38239437
PMCPMC10795518
OpenAlexW4390989658

What OpenQuestion holds

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LicenceCC BY-NC
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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.