ArticleMaedica2023
Non-Invasive Techniques for Evaluating Alopecia Areata.
Article in Maedica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed, 6 citations in OpenAlex.
- Monitoring the Response to JAK Inhibitor Treatment in Alopecia Areata Using Reflectance Confocal Microscopy and Videotrichoscopy: A 60-Week Observational Study.Dermatology and therapy · 2026Article
- Emerging non-invasive tools for hair follicle assessment: a narrative review on hyperspectral and terahertz imaging.Lasers in medical science · 2026Review
- Insights into the Diagnostics and Therapeutics of Alopecia Areata-An Indian Context.Indian dermatology online journal · 2026Article
- High-Frequency and Ultra-High-Frequency Ultrasound in Dermatologic Diseases and Aesthetic Medicine.Medicina (Kaunas, Lithuania) · 2025Review
- 'Cutting Through the Roots': A Critical Appraisal of Transverse and Vertical Sectioning Techniques of Scalp Biopsy for Primary Alopecia.Indian journal of dermatologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Alopecia areata (AA) is a disease affecting mostly young patients, being the second most prevalent cause of alopecia. For the assessment of AA patients, numerous non-invasive techniques are available. For diagnosing and treating AA, non-invasive hair follicle exploration is crucial. Trichoscopy, videodermoscopy, pull test, global scalp photography and scalp imaging techniques (reflectance confocal microscopy (RCM), multiphoton microscopy (MPM), and high-frequency ultrasonography (HF-USG) are non-invasive methods used to assess the hair loss. Short vellus hairs and yellow dots were the most commonly reported and sensitive trichoscopy signs of AA. Additionally, it was observed that AA activity was associated with black dots, micro-exclamation mark hairs and tapering hairs. A good prognosis of AA includes the transformation of vellus into terminal hairs. Reflectance confocal microscopy is a non-invasive imaging technique for in vivo evaluation of the skin and observation of cell morphology with a nearly histological resolution, which is helpful in diagnosis and management of AA. Additionally, MPM delivers information on hair follicles and scalp inflammation and can be utilized to assess hair growth while undergoing treatment. High-frequency ultrasonography allows distinguishing between hair cycle phases, which is undoubtedly important from the prognostic of AA. The current review aims to discuss the non-invasive methods of diagnosis of AA.
Identifiers
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.