ReviewDermatology and therapy2019
Emerging Methods to Objectively Assess Pruritus in Atopic Dermatitis.
Review in Dermatology and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 32 citations in OpenAlex.
- Machine Learning-Based Self-Induced Scratch Intensity Detection Using Feature Optimization and Multi-Channel Electromyogram Signals for Prevention of Lichenification.Bioengineering (Basel, Switzerland) · 2026Article
- Psychometric validation of the Chinese version of the Scratch Intensity and Impact Scale (SIIS) in patients with chronic pruritus.Frontiers in public health · 2026Article
- At-Home Evaluation of Both Wearable and Touchless Digital Health Technologies for Measuring Nocturnal Scratching in Atopic Dermatitis: Analytical Validation Study.Journal of medical Internet research · 2025Article
- Development of Objective Measurements of Scratching as a Proxy of Atopic Dermatitis-A Review.Sensors (Basel, Switzerland) · 2025Review
- Article
- Skin sensing and wearable technology as tools to measure atopic dermatitis severity.Skin health and disease · 2024Review
- Imiquimod-induced pruritus in female wild-type and knockin Wistar rats: underscoring behavioral scratching in a rat model for antipruritic treatments.BMC research notes · 2023Article
- Defining the Digital Measurement of Scratching During Sleep or Nocturnal Scratching: Review of the Literature.Journal of medical Internet research · 2023Review
- Digital Health Technologies in Pediatric Trials.Therapeutic innovation & regulatory science · 2022Review
- Article
- Glabridin attenuates atopic dermatitis progression through downregulating the TLR4/MyD88/NF-κB signaling pathway.Genes & genomics · 2021Article
- Differential Diagnosis and Treatment of Itching in Children and Adolescents.Biomedicines · 2021Review
- Development of digital measures for nighttime scratch and sleep using wrist-worn wearable devices.NPJ digital medicine · 2021Article
- Digitally Enabled, Patient-Centric Clinical Trials: Shifting the Drug Development Paradigm.Clinical and translational science · 2021Review
- How to measure itch in atopic dermatitis?The British journal of dermatology · 2020Article
- Article
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 at 3 institutions in 1 country.
Funding
Abstract
introductionAtopic dermatitis (AD) is an inflammatory skin disease with a chronic, relapsing course. Clinical features of AD vary by age, duration, and severity but can include papules, vesicles, erythema, exudate, xerosis, scaling, and lichenification. However, the most defining and universal symptom of AD is pruritus. Pruritus or itch, defined as an unpleasant urge to scratch, is problematic for many reasons, particularly its negative impact on quality of life. Despite the profoundly negative impact of pruritus on patients with AD, clinicians and researchers lack standardized and validated methods to objectively measure pruritus. The purpose of this review is to discuss emerging methods to assess pruritus in AD by describing objective patient-centered tools developed or enhanced over the last decade that can be utilized by clinicians and researchers alike.
methodsThis review is based on a literature search in Medline, Embase, and Web of Science databases. The search was performed in February 2019. The keywords were used "pruritus," "itch," "atopic dermatitis," "eczema," "measurements," "tools," "instruments," "accelerometer," "wrist actigraphy," "smartwatch," "transducer," "vibration," "brain mapping," "magnetic resonance imaging," and "positron emission tomography." Only articles written in English were included, and no restrictions were set on study type. To focus on emerging methods, prioritization was given to results from the last decade (2009-2019).
resultsThe search yielded 49 results in PubMed, 134 results in Embase, and 85 results in Web of Science. Each result was independently reviewed in a standardized manner by two of the authors (M.S., K.L.), and disagreements between reviewers were resolved by consensus. Relevant findings were categorized into the following sections: video surveillance, acoustic surveillance, wrist actigraphy, smart devices, vibration transducers, and neurological imaging. Examples are provided along with descriptions of how each technology works, instances of use in research or clinical practice, and as applicable, reports of validation studies and correlation with other methods.
conclusionThe variety of new and improved methods to evaluate pruritus in AD is welcomed by clinicians, researchers, and patients alike. Future directions include next-generation smart devices as well as exploring new territories, such as identifying biomarkers that correlate to itch and machine-learning programs to identify itch processing in the brain. As these efforts continue, it will be essential to remain patient-centered by developing techniques that minimize discomfort, respect privacy, and provide accurate data that can be used to better manage itch in AD.
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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.