ArticleSensors (Basel, Switzerland)2008
An Investigation on Micro-Raman Spectra and Wavelet Data Analysis for Pemphigus Vulgaris Follow-up Monitoring.
Article in Sensors (Basel, Switzerland), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 27 citations in OpenAlex.
- Micro-Raman spectroscopy for monitoring changes in periodontal ligaments and gingival crevicular fluid.Sensors (Basel, Switzerland) · 2014Trial
- Raman Spectroscopy: A Potential Diagnostic Tool for Oral Diseases.Frontiers in cellular and infection microbiology · 2022Review
- Characterization of Human Tear Fluid by Means of Surface-Enhanced Raman Spectroscopy.Sensors (Basel, Switzerland) · 2019Article
- Analysis of hepatitis C infection using Raman spectroscopy and proximity based classification in the transformed domain.Biomedical optics express · 2018Article
- Fructose and Pectin Detection in Fruit-Based Food Products by Surface-Enhanced Raman Spectroscopy.Sensors (Basel, Switzerland) · 2017Article
- Micro-Raman spectroscopy and univariate analysis for monitoring disease follow-up.Sensors (Basel, Switzerland) · 2011Article
- In vivo molecular evaluation of guinea pig skin incisions healing after surgical suture and laser tissue welding using Raman spectroscopy.Journal of photochemistry and photobiology. B, Biology · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A wavelet multi-component decomposition algorithm has been used for data analysis of micro-Raman spectra of blood serum samples from patients affected by pemphigus vulgaris at different stages. Pemphigus is a chronic, autoimmune, blistering disease of the skin and mucous membranes with a potentially fatal outcome. Spectra were measured by means of a Raman confocal microspectrometer apparatus using the 632.8 nm line of a He-Ne laser source. A discrete wavelet transform decomposition method has been applied to the recorded Raman spectra in order to overcome problems related to low-level signals and the presence of noise and background components due to light scattering and fluorescence. This numerical data treatment can automatically extract quantitative information from the Raman spectra and makes more reliable the data comparison. Even if an exhaustive investigation has not been done in this work, the feasibility of the follow-up monitoring of pemphigus vulgaris pathology has been clearly proved with useful implications for the clinical applications.
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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.