ArticleNMR in biomedicine2025
Tissue and Salivary NMR Metabolomics in Reticular-Type Oral Lichen Planus.
Article in NMR in biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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
1 citing paper in PubMed.
- Tissue and Salivary NMR Metabolomics in Reticular-Type Oral Lichen Planus.NMR in biomedicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Oral lichen planus (OLP) is a chronic T-cell-mediated autoimmune disease, with low potential for malignant transformation. Its etiology remains unclear, necessitating immunohistochemical and molecular-level studies to enhance diagnosis and management. Thirteen patients diagnosed with OLP and 13 healthy controls (HCs) were enrolled from three centers. Mucosal tissue samples collected during diagnostic biopsies and unstimulated whole saliva samples were analysed. A comprehensive approach was taken, with high-resolution magic angle spinning (HR-MAS)
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What OpenQuestion holds
Registered trials
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.