ArticleScientific reports2025
Predictive analysis of vitiligo treatment drugs using degree and neighborhood degree-based topological descriptors.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed.
- Predicting flavonoid physicochemical properties using topological indices and regression modeling.Scientific reports · 2025Article
- Potential of automated image analysis for the measurement of vitiligo lesions.Frontiers in medicine · 2025Article
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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Vitiligo is a chronic autoimmune condition that leads to the loss of skin pigmentation in certain areas due to the destruction of melanocytes, which produce pigment. A topological index is a numerical value obtained from the structure of a chemical graph and is useful for studying the theoretical characteristics of organic molecules. It can also help determine the physico-chemical and biological aspects of various drugs. This article uses novel neighborhood degree-based topological indices to study vitiligo drugs and demonstrates a strong correlation with physico-chemical properties. Additionally, the results are compared with those obtained through degree-based topological indices.
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Registered trials
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