Evidence map›Paper›PMID 30717471›Full record

ArticlePharmaceutics2019

Applying Supercritical Fluid Technology to Prepare Ibuprofen Solid Dispersions with Improved Oral Bioavailability.

Fei Han, Wei Zhang, Ying Wang, Ziyue Xi, Lu Chen, Sanming Li, Lu Xu

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
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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 1 institution in 1 country.

Fei HanSchool of Pharmacy, Shenyang Pharmaceutical University, Shenyang 110016, China. hanfei_spu@163.com.
Wei ZhangSchool of Pharmacy, Shenyang Pharmaceutical University, Shenyang 110016, China. zhangwei9501@126.com.
Ying WangKey Laboratory of Structure-Based Drug Design & Discovery of Ministry of Education, Shenyang Pharmaceutical University, Shenyang 110016, China. wangying7061blus@163.com.
Ziyue XiSchool of Pharmacy, Shenyang Pharmaceutical University, Shenyang 110016, China. lnxiziyue@163.com.
Lu ChenSchool of Pharmacy, Shenyang Pharmaceutical University, Shenyang 110016, China. chenlu182125@163.com.
Sanming LiSchool of Pharmacy, Shenyang Pharmaceutical University, Shenyang 110016, China. lisanming2018@163.com.
Lu XuSchool of Pharmacy, Shenyang Pharmaceutical University, Shenyang 110016, China. xulu@syphu.edu.cn.
Shenyang Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, supercritical fluid (SCF) technology was applied to prepare reliable solid dispersions of pharmaceutical compounds with limited bioavailability using ibuprofen (IBU) as a model compound. Solid-state characterization of the dispersions was conducted by differential scanning calorimetry (DSC), powder X-ray diffraction (PXRD), and scanning electron microscopy (SEM). The PXRD and DSC results suggested that the amorphous form of IBU was maintained in the solid dispersions. Furthermore, in vitro dissolution and in vivo pharmacokinetic (PK) studies in rats were also performed. The dissolution performance of the SCF-prepared IBU dispersions was significantly improved compared to that of the physical mixtures of crystalline IBU and a polymer. In addition, the PK results revealed that the SCF-prepared IBU dispersions produced remarkably high blood drug concentrations (both the AUC and C

Indexed as

bioavailabilityibuprofensolid dispersionsupercritical fluid

Identifiers

PMID30717471
PMCPMC6409573
OpenAlexW2912722126

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.