Evidence map›Paper›PMID 39473622›Full record

ArticleADMET & DMPK2024

Investigation of magnesium aluminometasilicate (Neusilin US2) based surface solid dispersion of sorafenib tosylate using QbD approach:

Bijoy Kumar Panda, Bothiraja Chellampillai, Sharad Ghodake, Ashwin J Mali, Ravindra Kamble

Abstract read
In one paragraph

Article in ADMET & DMPK, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Bijoy Kumar PandaDepartment of Pharmacy Practice, Krishna Institute of Pharmacy, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad, Maharashtra, India.
Bothiraja ChellampillaiDepartment of Pharmaceutics, Goa College of Pharmacy, Goa University, Panaji, Goa, India.
Sharad GhodakeDepartment of Pharmaceutics, Poona College of Pharmacy, Bharati Vidyapeeth (Deemed to be University), Pune, Maharashtra, India.
Ashwin J MaliDepartment of Pharmaceutics, Poona College of Pharmacy, Bharati Vidyapeeth (Deemed to be University), Pune, Maharashtra, India.
Ravindra KambleDepartment of Pharmaceutics, Poona College of Pharmacy, Bharati Vidyapeeth (Deemed to be University), Pune, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Sorafenib tosylate (SFN), a potent multikinase inhibitor, is used for the treatment of various cancers. However, it shows limited therapeutic applications due to its poor biopharmaceutical properties. The aim of the present investigation is to develop surface solid dispersion (SSD) of SFN using adsorbent to improve its solubility, bioavailability and therapeutic efficacy. Experimental approach: The SFN-SSD was prepared by modified solvent evaporation technique using Neusilin US2 (magnesium aluminometasilicate) as an adsorbent and sodium dodecyl sulphate as a surfactant. SFN-SSD was optimized by adopting the design of experiment (DOE) using 3 Key results: The obtained SFN-SSD showed more than 20-fold improvement in SFN solubility. The FTIR depicted hydrogen bonding between SFN and Neusilin. Further, PXRD and DSC indicated the molecular dispersion of SFN to be amorphous. SFN-SSD and SFN immediate release tablets reflected cumulative release of 97.13 and 29.93 % in 1 h. The pharmacokinetics study of SFN-SSD showed 2 and 6.5-fold improvement in maximum concentration ( Conclusion: The study concluded that the SSD could be a scalable formulation approach and more industry-friendly technology to improve the biopharmaceutical properties of SFN.

Indexed as

Neusilin® US2pharmacokinetic analysisQuality by designsorafenib

Identifiers

PMID39473622
PMCPMC11517514

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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.