Evidence map›Paper›PMID 40384760›Full record

ArticleFrontiers in chemistry2025

Mathematical modeling and estimation of physicochemical characteristics of pneumonia treatment drugs through a novel approach

Abdul Rauf Khan, Ifra Naeem, Fairouz Tchier, Fikadu Tesgera Tolasa, Shahid Hussain

Abstract read
In one paragraph

Article in Frontiers in chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Abdul Rauf KhanDepartment of Mathematics, Faculty of Sciences, Ghazi University, Dera Ghazi Khan, Pakistan.
Ifra NaeemDepartment of Mathematics, Faculty of Sciences, Ghazi University, Dera Ghazi Khan, Pakistan.
Fairouz TchierMathematics Department, College of Science, King Saud University, Riyad, Saudi Arabia.
Fikadu Tesgera TolasaDepartment of Mathematics, Dambidollo University, Oromia, Ethiopia.
Shahid HussainEnergy Engineering Division, Department of Engineering Science and Mathematics, Lulea University of Technology, Lulea, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Pneumonia is the primary cause of mortality in preterm infants in developing nations; yet, early detection and treatment can significantly reduce mortality rates. Pharmaceutical researchers are diligently striving to identify avariety of drugs that might effectively cure pneumonia. Method: We are motivated to examine the quantitative structureproperty relationships (QSPR) of anti-pneumonia pharmaceuticals. We employed Results and Conclusion: The drugs comprise linezolid, ceftabiprole, and clarithromycin, among others. Topological descriptors enable the exploration of the complexity, connectivity, and other essential attributes of molecules. The quantitative structure-property relationship (QSPR) analysis of pharmaceuticals for illness treatment employing

Indexed as

anti-pneumonia drugschemical graph theoryK-Banhatti descriptorsmolecular structurephysicochemical propertiesQSPR testingregression modelstopological descriptors

Identifiers

PMID40384760
PMCPMC12081363

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.