Evidence map›Paper›PMID 37575985›Full record

SynthesisFrontiers in medicine2023

Non-invasive skin measurement methods and diagnostics for vitiligo: a systematic review.

Parsa Abdi, Michelle R Anthony, Christopher Farkouh, Airiss R Chan, Amritpal Kooner, Simal Qureshi, Howard Maibach

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Article
  3. Vitiligo Information Resource database v3.NPJ systems biology and applications · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Proteomics data in vitiligo: a scoping review.Frontiers in immunology · 2024
    Article
  11. Development and Validation of a Composite Skin Quality Scale.Aesthetic surgery journal. Open forum · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 2 countries.

Parsa AbdiMemorial University of Newfoundland, Faculty of Medicine, St. Johns, NL, Canada.
Michelle R AnthonyCollege of Medicine, University of Arizona, Tucson, AZ, United States.
Christopher FarkouhRush Medical College, Faculty of Medicine, Chicago, IL, United States.
Airiss R ChanDivision of Dermatology, Faculty of Medicine, University of Alberta, Edmonton, AB, Canada.
Amritpal KoonerChicago College of Osteopathic Medicine, Midwestern University, Downers Grove, IL, United States.
Simal QureshiMemorial University of Newfoundland, Faculty of Medicine, St. Johns, NL, Canada.
Howard MaibachDivision of Dermatology, Faculty of Medicine, University of California, San Francisco, San Francisco, CA, United States.
Memorial University of Newfoundland · CAMidwestern University · USRush University Medical Center · USUniversity of Alberta · CAUniversity of Arizona · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vitiligo is a multifaceted autoimmune depigmenting disorder affecting around 0.5 to 2.0% of individuals globally. Standardizing diagnosis and therapy tracking can be arduous, as numerous clinical evaluation methods are subject to interobserver variability and may not be validated. Therefore, there is a need for diagnostic tools that are objective, dependable, and preferably non-invasive. Aims: This systematic review provides a comprehensive overview of the non-invasive objective skin measurement methods that are currently used to evaluate the diagnosis, severity, and progression of vitiligo, as well as the advantages and limitations of each technique. Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist was used for the systematic review. Scopus, Embase, Cochrane Library, and Web of Science databases were comprehensively searched for non-invasive imaging and biophysical skin measuring methods to diagnose, evaluate the severity of, or monitor the effects of vitiligo treatment. The risk of bias in included articles was assessed using the QUADAS-2 quality assessment scale. Results: An extensive literature search resulted in 64 studies for analysis, describing eight imaging techniques (reflectance confocal microscopy, computer-aided imaging analysis, optical coherence tomography, infrared photography, third-harmonic generation microscopy, multiphoton microscopy, ultraviolet light photography, and visible light/digital photograph), and three biophysical approaches (dermoscopy, colorimetry, spectrometry) used in diagnosing and assessing vitiligo. Pertinent information about functionality, mechanisms of action, sensitivity, and specificity was obtained for all studies, and insights into the strengths and limitations of each diagnostic technique were addressed. Methodological study quality was adequate; however, statistical analysis was not achievable because of the variety of methods evaluated and the non-standardized reporting of diagnostic accuracy results. Conclusions: The results of this systematic review can enhance clinical practice and research by providing a comprehensive overview of the spectrum of non-invasive imaging and biophysical techniques in vitiligo assessment. Studies with larger sample sizes and sound methodology are required to develop verified methods for use in future practice and research. Systematic review registration: (PROSPERO) database, (CRD42023395996).

Indexed as

dermoscopydiagnosisimaging techniquesnon-invasive techniquesreflectance confocal microscopyultraviolet light photographyvitiligowood's lamp

Identifiers

PMID37575985
PMCPMC10416110
OpenAlexW4385358870

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.