Evidence map›Paper›PMID 39289569›Full record

ArticleScientific reports2024

Intelligence computational analysis of letrozole solubility in supercritical solvent via machine learning models.

Mohammed Alqarni, Amal Adnan Ashour, Alaa Shafie, Ali Alqarni, Mohammed Fareed Felemban, Bandar Saud Shukr, Mohammed Abdullah Alzubaidi, Fahad Saeed Algahtani

Abstract read
In one paragraph

Article in Scientific reports, 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

8 authors.

Mohammed AlqarniDepartment of Pharmaceutical Chemistry, College of Pharmacy, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia. m.aalqarni@tu.edu.sa.
Amal Adnan AshourDepartment of Oral & Maxillofacial Surgery and Diagnostic Sciences, Faculty of Dentistry, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.
Alaa ShafieDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, P.O.Box 11099, Taif, 21944, Saudi Arabia.
Ali AlqarniDepartment of Oral & Maxillofacial Surgery and Diagnostic Sciences, Faculty of Dentistry, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.
Mohammed Fareed FelembanDepartment of Oral & Maxillofacial Surgery and Diagnostic Sciences, Faculty of Dentistry, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.
Bandar Saud ShukrDepartment of Preventive Dentistry, Faculty of Dentistry, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.
Mohammed Abdullah AlzubaidiDepartment of Preventive Dentistry, Faculty of Dentistry, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.
Fahad Saeed AlgahtaniDepartment of Restorative Dental Science, Faculty of Dentistry, Taif University, Taif, 21944, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supercritical fluids (SCFs) can be used to prepare drugs nanoparticles with improved solubility. SCFs have shown superior advantages in pharmaceutical industry as an environmentally friendly alternative to toxic/harmful organic solvents. They possess gas-like transport characteristics and liquid-like solvation power for solutes. Evaluation of chemotherapeutic drugs' solubility in supercritical carbon dioxide (SCCO

Indexed as

LetrozoleMachine LearningSolubilitySolventsAlgorithmsSupport Vector MachineLetrozoleSolventsLetrozoleMachine learningSolubilitySupercritical processing

Identifiers

PMID39289569
PMCPMC11408645

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.