ReviewMedicina (Kaunas, Lithuania)2025
The Use of Imaging Techniques in the Diagnosis of Dermatoses of the Scalp.
Review in Medicina (Kaunas, Lithuania), 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.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Scalp diseases are a common issue affecting patients' self-esteem and quality of life. Currently, trichoscopy is the foundation of diagnostics; however, it does not always provide sufficient sensitivity and specificity. In uncertain cases, scalp biopsy remains the gold standard, though it is an invasive method and not well accepted by patients. In recent years, new non-invasive diagnostic methods have been developed and modernized. This article discusses imaging techniques, emphasizing their development over time as well as their advantages and limitations in the diagnosis of scalp dermatoses.
Indexed as
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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.