Evidence map›Paper›PMID 36015258›Full record

ArticlePharmaceutics2022

Estimating the Dissolution of Anticancer Drugs in Supercritical Carbon Dioxide with a Stacked Machine Learning Model.

Maryam Najmi, Mohamed Arselene Ayari, Hamidreza Sadeghsalehi, Behzad Vaferi, Amith Khandakar, Muhammad E H Chowdhury, Tawsifur Rahman, Zanko Hassan Jawhar

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  6. Review
  7. Linc00513 sponges miR-7 to modulate TGF-β signaling in azoospermia.European journal of translational myology · 2024
    Article
  8. 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 at 5 institutions in 3 countries.

Maryam NajmiFaculty of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran 1584715414, Iran.
Mohamed Arselene AyariDepartment of Civil and Architectural Engineering, Qatar University, Doha 2713, Qatar.ORCID 0000-0002-8663-886X
Hamidreza SadeghsalehiDepartment of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran 1449614535, Iran.ORCID 0000-0001-9783-7795
Behzad VaferiDepartment of Chemical Engineering, Shiraz Branch, Islamic Azad University, Shiraz 7198774731, Iran.ORCID 0000-0003-3218-9824
Amith KhandakarDepartment of Electrical Engineering, Qatar University, Doha 2713, Qatar.ORCID 0000-0001-7068-9112
Muhammad E H ChowdhuryDepartment of Electrical Engineering, Qatar University, Doha 2713, Qatar.ORCID 0000-0003-0744-8206
Tawsifur RahmanDepartment of Electrical Engineering, Qatar University, Doha 2713, Qatar.
Zanko Hassan JawharDepartment of Medical Laboratory Science, College of Health Science, Lebanese French University, Kurdistan Region 44001, Iraq.
Qatar University · QAIran University of Medical Sciences · IRIslamic Azad University of Shiraz · IRIslamic Azad University South Tehran Branch · IRLebanese French University · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthesizing micro-/nano-sized pharmaceutical compounds with an appropriate size distribution is a method often followed to enhance drug delivery and reduce side effects. Supercritical CO

Indexed as

anticancer solid drugsartificial intelligence techniqueensemble modelsolubilitysupercritical CO2

Identifiers

PMID36015258
PMCPMC9416672
OpenAlexW4289860848

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.