ArticleCureus2025
Advancing Hair Regrowth Assessment: Development and Standardization of Methods for Evaluating New Hair Growth, Hair Keratin Levels, and Scalp Health in Androgenetic Alopecia Patients.
Article in Cureus, 2025. 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
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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
5 citing papers in PubMed.
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- Targeted Follicular Delivery via Liposomal Encapsulation ofClinical, cosmetic and investigational dermatology · 2026Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Androgenetic alopecia (AGA) is a prevalent and progressive hair disorder affecting both men and women. It is characterized by the miniaturization of hair follicles, reduced hair density, and alterations in scalp conditions. Accurate assessment of hair growth parameters is crucial for understanding the progression of AGA and evaluating the efficacy of treatment interventions. This study aimed to develop and validate robust methodologies for assessing critical endpoints related to hair growth and scalp health. These standardized methods provide a reliable framework for future efficacy studies targeting AGA and similar hair disorders. Methods This method development and standardization study utilized an observational, non-interventional, open-label design and included 25 subjects diagnosed with AGA. Non-invasive techniques were employed to evaluate various hair parameters, including hair regrowth (vellus hair count), hair density, thickness, and total hair count, using the CASLite Nova phototrichogram software (Catseye Systems & Solutions Pvt Ltd, Navi Mumbai, India) and Image-Pro software (Media Cybernetics, Inc., Rockville, MD, USA) for precise analysis. Hair length was assessed using a calibrated ruler, while hair tensile strength was measured with the Testronix tensile hair tester (TX TST C, Testronix, Inc., Manila, PHL) instrument. Additional parameters, such as quantitative hair keratin levels and scalp keratin levels, were analyzed to provide an understanding of hair health. Baldness severity was evaluated using the Norwood-Hamilton scoring system for male participants and the Ludwig scoring system for female participants. Furthermore, a detailed visual hair distribution analysis was conducted. To minimize inter-evaluator variability, standardized training sessions were conducted, ensuring consistency across assessments. The reliability of the scoring systems was confirmed using the Fleiss Multirater Kappa test. This study received ACEAS Independent Ethics Committee (EC) approval on July 10, 2024. Results The vellus hair count, indicative of new hair growth, was found to be higher in AGA-affected areas, averaging 12.4 compared to 3.92 in the standardized area. Terminal hair counts were lower in AGA-affected areas, with 9.88 compared to 21.84 in the standardized area. Hair density (count/cm²) and thickness (µm) were significantly less in AGA-affected areas, with averages of 209.84 (count/cm²) and 6.64 µm, compared to 246.12 (count/cm²) and 9.16 µm in the standardized areas (p < 0.0001). Tensile strength was measured at an average of 344.14 MPa across samples. The Fleiss Multirater Kappa analysis showed high agreement between evaluators for Norwood-Hamilton (0.894) and Ludwig scores (0.957). Conclusion This standardization and validation study underscores the importance of developing and utilizing standardized methodologies in clinical research, particularly in hair and scalp health studies. The implementation of these accurate and reproducible techniques will enhance the reliability of efficacy data for both current and future AGA treatments while establishing a benchmark for advancing research in hair restoration and scalp health. These methodologies provide a reliable and scientifically grounded approach to studying hair regrowth, paving the way for evidence-based treatments that can address the diverse needs of individuals with AGA and other hair-related disorders.
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