Cited by 20Cutaneous Melanoma Detection and ManagementSkin Protection and Agingmelanin and skin pigmentation

Reliability and prevalence of digital image skin types in the United States: Results from National Health and Nutrition Examination Survey 2003-2004

Open access
Keiser, Elizabeth, Linos, Eleni, Kanzler, Matthew, Lee, Wayne, Sainani, Kristin L., Tang, Jean Y.·2012·Journal of the American Academy of Dermatology

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jaad.2011.02.044

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The skin pigmentation categorization method used in this meta-analysis classifies most White people in the United States as light rather than medium skin pigmentation.

    “This method, however, classifies most White people in the United States as light rather than medium skin pigmentation [66].”

    From Impact of skin pigmentation on pulse oximetry blood oxygenation and wearable pulse rate accuracy: systematic review and meta-analysis (2024) · cites this paper as [66]

    The Results (p. 163) say that White participants mainly had digital image skin type scores of 2 or 3, on a scale where 1 is lightest and 6 darkest. The paper does not define the meta-analysis’s light-versus-medium categories or establish that most White people fall into its light category rather than its medium category. (LLM, conf=0.82)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 6 · Cited by 20

Research works printed but not linked: 10

  1. Diffey BL. The need for sunscreens with broad spectrum protection. In: Urbach F, editor. Biological responses to ultraviolet A radiation. Overland Park (KS): Valdenmar Publish- ing Company; 1992. pp. 321-8.
  2. Osterwalder U, Herzog B. Chemistry and properties of organic and inorganic UV filters. In: Lim HW, Draelos ZD, editors. Clinical guide to sunscreens and photoprotection. New York: Informa Healthcare USA Inc; 2009. pp. 11-38.
  3. Diffey BL. A method for broad-spectrum classification of sun- screens. Int J Cosmet Sci 1994;16:47-52.
  4. The Commission of the European Communities. Commission Recommendation of 22 September 2006 on the efficacy of sunscreen products and the claims made relating thereto. Official Journal of the European Union, L265/39, 26.9.2006.
  5. Diffey BL, Tanner PR, Matts PJ, Nash JF. In vitro assessment of the broad-spectrum ultraviolet protection of sunscreen pro- ducts. J Am Acad Dermatol 2000;43:1024-35. doi:10.1016/j.jaad.2011.10.014 REFERENCES · DOI
  6. Rubin AI, Chen EH, Ratner D. Basal-cell carcinoma. N Engl J Med 2005;353:2262-9.
  7. Fitzpatrick TB. The validity and practicality of sun-reactive skin types I through VI. Arch Dermatol 1988;124:869-71.
  8. Kurd SK, Gelfand JM. The prevalence of previously diagnosed and undiagnosed psoriasis in US adults: results from NHANES 2003-2004. J Am Acad Dermatol 2009;60:218-24.
  9. Kimball AB, Ehrlich A, Lawrence RC, Moshell AN, Turner ML. Validating standardized acquisition of digital dermatologic images for use in the National Health and Nutrition Examina- tion Survey. Arch Dermatol 2006;142:110-2.
  10. Chan JL, Ehrlich A, Lawrence RC, Moshell AN, Turner ML, Kimball AB. Assessing the role of race in quantitative measures of skin pigmentation and clinical assessments of photosensitivity. J Am Acad Dermatol 2005;52:609-15. doi:10.1016/j.jaad.2011.02.044 Fig · DOI

Authors
Keiser, E., Linos, E., Kanzler, M., Lee, W., Sainani, K. L., & Tang, J. Y.
Affiliations
  • Stanford Medicine (US)
  • Santa Clara Valley Medical Center (US)
Corresponding author
Tang, Jean Y.
Venue
Journal of the American Academy of Dermatology
Publisher
Elsevier BV
Published
2012-01
Volume
66
Issue
1
Pages
163-165
ISSN
0190-9622 (ISSN-L)
OpenAlex
W2122607145
Cited by
20
References
6
Citations by year
2026: 1 · 2024: 6 · 2023: 2 · 2022: 3 · 2021: 4 · 2019: 1 · 2017: 1 · 2013: 2
FWCI
0.32
Type
journal article
Language
en
Open access
Locations
  • Journal of the American Academy of Dermatology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • American Skin Association
  • School of Medicine, Stanford University
  • Stanford Bio-X
  • National Institute of Arthritis and Musculoskeletal and Skin Diseases (K23AR056736)
Topics
  • Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
  • Health Sciences › Medicine › Dermatology › Skin Protection and Aging
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › melanin and skin pigmentation
Keywords
skin type classification, skin cancer risk, skin color, skin cancer prevalence, skin cancer risk factors, NHANES
MeSH terms
Adult, Female, Humans, Male, Middle Aged, Nutrition Surveys, Photography, Skin, Sunburn, United States, Prevalence, Racial Groups

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review