research Alopecia areata predictive score: A new trichoscopy‐based tool to predict treatment outcome in patients with patchy alopecia areata
A new tool can predict hair regrowth in patchy alopecia areata patients.
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30 / 1000+ resultsresearch Characteristics and predictive values of super-responders in alopecia areata under tofacitinib treatment: A single-center retrospective study
Older patients without prior JAK inhibitor treatment respond best to tofacitinib for alopecia areata.
research Predictive Factors of Response and Real‐World Experience of Baricitinib on Alopecia Areata: A Single Tertiary Center Study on a 72 Patients' Cohort
Baricitinib is a safe and effective treatment for alopecia areata, with better results in patients with lower initial severity, shorter disease duration, and longer treatment.
research Long‐term outcomes of intravenous corticosteroid pulse therapy for rapidly progressive alopecia areata: A single‐center retrospective analysis of 106 cases and usefulness evaluation of a scoring system originally designed for half‐year efficacy prediction for extended periods
Intravenous corticosteroid therapy is effective for long-term hair regrowth in alopecia areata, and a scoring system helps predict treatment success and relapse.
research 706 Predictive modeling of patient response to JAK/STAT inhibitors and dynamic patient-matching
Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
research High frequency of cutaneous manifestations including vitiligo and alopecia areata in a prospective cohort of patients with chronic graft-vs-host disease
Patients with chronic graft-versus-host disease often have skin problems like vitiligo and alopecia areata.
research LEVERAGING MACHINE LEARNING METHODS IN PREDICTING AND ANALYZING THE ASSOCIATION BETWEEN DIETARY INFLAMMATORY INDEX AND ALOPECIA
Inflammatory diets may increase the risk and severity of alopecia areata.
research Update on pulse corticosteroid therapy for the management of alopecia areata
Pulse corticosteroid therapy helps many with severe alopecia areata regrow hair, but has side effects.
research Moving Beyond Boundaries: Utilization of Longitudinal Exposure–Response Model for Bounded Outcome Score to Inform Decision Making in the Accelerated Drug Development Paradigm
A 50 mg daily dose of ritlecitinib is effective for alopecia areata, with temporary treatment breaks up to 6 weeks not affecting results.
research Table 1_Longitudinal clinical course, treatment outcomes, and relapse patterns in alopecia areata: a prospective cohort study.docx
Baseline severity, disease activity, and relapse history are key to predicting response and recurrence in alopecia areata.
research Evaluating the Effect of the Demographic, Trichoscopic and Laboratory Characteristics on The Recurrence of Alopecia Areata
Male gender and family history predict alopecia areata recurrence.
research Evaluation of SALT score severity in correlation with trichoscopic findings in alopecia areata: a study of 303 patients
Trichoscopy helps better understand and manage alopecia areata, improving patient outcomes.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
research Alopecia areata: Multivariate analysis for predicting its clinical course
Certain factors like patchy hair loss at the back of the head, being female, and younger age at diagnosis can lead to a worse outcome for alopecia areata.
research The Ratio of Typical Clubbing in Pulled-Out Hairs as a Useful Marker in Predicting the Course of Alopecia Areata
Examining hair shape can help predict Alopecia Areata's progression.
research Prediction of Long-term Scalp Hair Regrowth at 24 Months in Patients with Alopecia Areata Receiving Ritlecitinib Treatment in the ALLEGRO Clinical Trial Program
research A novel predictive model for the recurrence of pediatric alopecia areata by bioinformatics analysis and a single-center prospective study
A new model uses specific blood markers to predict if children's hair loss will return.
research Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
research 546 Gene expression signatures and ALADIN score correlates with response of alopecia areata patients to treatment with JAK inhibitors
The ALADIN score can predict how well patients with alopecia areata will respond to JAK inhibitor treatments.
research Factors predicting response to oral methylprednisolone tapering treatment in alopecia areata: A retrospective study
Younger patients and those with more hair loss are less likely to benefit from oral steroid treatment for hair loss, and low vitamin D may predict relapse.
research Longitudinal clinical course, treatment outcomes, and relapse patterns in alopecia areata: a prospective cohort study
Baseline severity and relapse history affect alopecia areata treatment and recurrence.
research LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
research Serum level of calprotectin as a new inflammatory marker in patients with alopacia areata
Calprotectin levels are higher in alopecia areata patients, indicating systemic inflammation.
research Serum IL-21 Level and Its Relation to Activity and Severity of Alopecia Areata
Higher IL-21 levels may help predict alopecia areata activity.
research Safety and efficacy of the JAK inhibitor tofacitinib citrate in patients with alopecia areata
Tofacitinib is safe and effective for severe alopecia areata, but hair loss may return 2 months after stopping treatment.
research Objective outcome measures: Collecting meaningful data on alopecia areata
The document suggests using standardized methods to track and measure hair loss in alopecia areata, including patient self-assessment and a 50% improvement in specific scores as a treatment goal.
research Predictive Metagenomic Profiling, Urine Metabolomics, and Human Marker Gene Expression as an Integrated Approach to Study Alopecia Areata
Alopecia areata may be linked to scalp microbiome differences, suggesting potential treatments with prebiotics, probiotics, and postbiotics.
research A clinical study on alopecia areata
Intralesional corticosteroids are the best for limited alopecia areata, oral steroids are less effective, and PRP is safe and promising, especially for children and severe cases.
research Alopecia areata and vitamin D: Is there any association?
People with alopecia areata often have lower vitamin D levels than healthy people.
research Alopecia Areata
The document concludes that alopecia areata is an unpredictable autoimmune hair loss condition with no cure, but various treatments exist that require personalized approaches.