ReviewCureus2025
Comprehensive Review on Hair Loss and Restorative Techniques: Advances in Diagnostic, Artistry, and Surgical Innovation.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Emerging non-invasive tools for hair follicle assessment: a narrative review on hyperspectral and terahertz imaging.Lasers in medical science · 2026Review
- Human Secretomes, Plant Exosomes, and Hybrid Secretomes Intradermal Injections for Hair Regeneration: Experimental Study.Plastic and reconstructive surgery. Global open · 2026Article
- Chemotherapy-Induced Alopecia Beyond Cytotoxicity: Hair Follicle Immune Privilege Collapse and JAK-STAT Signaling.International journal of molecular sciences · 2026Review
- The Possible Role of Antibodies in Alopecia: A Narrative Review.Antibodies (Basel, Switzerland) · 2026Review
- The evolving landscape of eyebrow reconstruction: from traditional flaps to minimally invasive techniques and regenerative medicine.Frontiers in surgery · 2026Review
- Precision therapeutics in non-scarring alopecia: a systemic genomic and pathway-based framework for targeted interventions.ADMET & DMPK · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hair loss, or alopecia, is a complex disorder that impacts individuals worldwide, frequently resulting in significant psychological and social consequences. This review analyzes the multifactorial etiology, recent diagnostic innovations, and emerging treatment alternatives for hair loss management. Alopecia is classified into the cicatricial (scarring) and non-cicatricial (non-scarring) forms, each having a unique underlying pathogenesis, ranging from autoimmune dysregulation, androgenetic mechanisms, and environmental factors. Recent advancements in diagnostics, such as artificial intelligence (AI)-enhanced imaging and biomarker analysis, have improved precision and individualization of treatment. Novel therapies, such as low-dose oral minoxidil (LDOM), topical 5-alpha reductase inhibitors, and Janus kinase inhibitors (JAKi), offer a range of promising options for hair loss management. Non-invasive therapies, such as low-level laser therapy (LLLT) and platelet-rich plasma (PRP) injections, have demonstrated synergistic benefits with existing treatments. Surgical advancements, especially AI-assisted robotic follicular unit extraction (FUE), enhance precision and outcomes. Emerging trends in regenerative medicine, especially stem-cell-based therapies and AI integration, are influencing the future of customized hair restoration. This review serves as a comprehensive guide, highlighting the use of innovative technologies and therapies in enhancing the accuracy and customization of hair loss treatment.
Indexed as
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.