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Assessing Quality of Ordinal Scales Depicting Skin Aging Severity

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Textbook of Aging Skin

Abstract

In dermatology and in plastic surgery, severity rating scales have been extensively used to describe and quantify the severity of skin disorders [1–4], to assess treatment outcomes, efficacy of cosmetic surgical procedures, and even patients' concern and satisfaction [5–7]. With the development of aesthetic procedures, assessment of severity before and after treatment of skin aging features [8] as well as the identification of significant determinants of skin aging [9, 10] (UV exposure, smoking, genetic polymorphisms) are increasingly reported. Among these scales, ordinal severity scales illustrated by photographs have been widely developed to help plastic surgeons and dermatologists in more objective assessments [1, 9].

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References

  1. Coenraads PJ, et al. Construction and validation of a photographic guide for assessing severity of chronic hand dermatitis. Br J Dermatol. 2005;152(2):296–301.

    CAS  PubMed  Google Scholar 

  2. Berth-Jones J, et al. A study examining inter- and intrarater reliability of three scales for measuring severity of psoriasis: Psoriasis area and severity index, physician's global assessment and lattice system physician's global assessment. Br J Dermatol. 2006;155(4):707–713.

    CAS  PubMed  Google Scholar 

  3. Hanifin JM, et al. The eczema area and severity index (EASI): Assessment of reliability in atopic dermatitis. EASI Evaluator Group. Exp Dermatol. 2001;10(1):11–18.

    CAS  PubMed  Google Scholar 

  4. Witkowski JA, Parish LC. The assessment of acne: an evaluation of grading and lesion counting in the measurement of acne. Clin Dermatol. 2004;22(5):394–397.

    PubMed  Google Scholar 

  5. Ching S, et al. Measuring outcomes in aesthetic surgery: A comprehensive review of the literature. Plast Reconstr Surg. 2003;111(1):469–480.

    PubMed  Google Scholar 

  6. Most SP, Alsarraf R, Larrabee WF. Outcomes of facial cosmetic procedures. Facial Plast Surg. 2002;18(2):119–124.

    PubMed  Google Scholar 

  7. Heckmann M, Schon-Hupka G. Quantification of the efficacy of botulinum toxin type A by digital image analysis. J Am Acad Dermatol. 2001;45(4):508–514.

    CAS  PubMed  Google Scholar 

  8. Alsarraf R, et al. Measuring cosmetic facial plastic surgery outcomes: a pilot study. Arch Facial Plast Surg. 2001;3(3):198–201.

    CAS  PubMed  Google Scholar 

  9. Chung JH, et al. Cutaneous photodamage in Koreans: influence of sex, sun exposure, smoking, and skin color. Arch Dermatol. 2001;137(8):1043–1051.

    CAS  PubMed  Google Scholar 

  10. Guinot C, et al. Relative contribution of intrinsic vs extrinsic factors to skin aging as determined by a validated skin age score. Arch Dermatol. 2002;138(11):1454–1460.

    PubMed  Google Scholar 

  11. Shoukri MM. Measures of interobserver agreement. Boca Raton: Chapman & Hall/CRC, 2004.

    Google Scholar 

  12. Cohen J. Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychol Bull. 1968;70:213–220.

    CAS  PubMed  Google Scholar 

  13. Valet F, et al. Log-linear non-uniform association models for agreement between two ratings on an ordinal scale. Stat Med. 2007;26(3):647–662.

    PubMed  Google Scholar 

  14. Rabe JH, et al. Photoaging: Mechanisms and repair. J Am Acad Dermatol. 2006;55(1):1–19.

    PubMed  Google Scholar 

  15. Larnier C, et al. Evaluation of cutaneous photodamage using a photographic scale. Br J Dermatol. 1994;130(2):167–173.

    CAS  PubMed  Google Scholar 

  16. Griffiths CE, et al. A photonumeric scale for the assessment of cutaneous photodamage. Arch Dermatol. 1992;128(3):347–351.

    CAS  PubMed  Google Scholar 

  17. Helfrich YR, et al. Effect of smoking on aging of photoprotected skin: Evidence gathered using a new photonumeric scale. Arch Dermatol. 2007;143(5):397–402.

    PubMed  Google Scholar 

  18. Carruthers A, et al. A validated grading scale for crow's feet. Dermatol Surg. 2008;34(Suppl. 2):S173–S178.

    CAS  PubMed  Google Scholar 

  19. Malvy D, et al. Epidemiologic determinants of skin photoaging: Baseline data of the SU.VI.MAX cohort. J Am Acad Dermatol. 2000;42(1) Pt 1:47–55.

    CAS  PubMed  Google Scholar 

  20. Hercberg S, et al. A primary prevention trial using nutritional doses of antioxidant vitamins and minerals in cardiovascular diseases and cancers in a general population: the SU.VI.MAX study-design, methods, and participant characteristics. SUpplementation en VItamines et Mineraux AntioXydants. Control Clin Trials. 1998;19(4):36–351.

    Google Scholar 

  21. Hercberg S, et al. The SU.VI.MAX Study: a randomized, placebo-controlled trial of the health effects of antioxidant vitamins and minerals. Arch Intern Med. 2004;164(21):2335–2342.

    CAS  PubMed  Google Scholar 

  22. Cicchetti DV, Allison T. A new procedure for assessing reliability of scoring EEG sleep recordings. Am J EEG Technol. 1971;11:101–109.

    Google Scholar 

  23. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–174.

    CAS  PubMed  Google Scholar 

  24. Darroch JN, McCloud PI. Category distinguishability and observer agreement. Aust J Stat. 1986;28:371–388.

    Google Scholar 

  25. Weyers W. The 21st century – time for a reliable method for diagnosis in clinical dermatology. Arch Dermatol. 2000;136(1):103–105.

    CAS  PubMed  Google Scholar 

  26. Lemperle G, et al. A classification of facial wrinkles. Plast Reconstr Surg. 2001;108(6):1735–1750.

    CAS  PubMed  Google Scholar 

  27. Ryu JS, et al. Improving lip wrinkles: Lipstick-related image analysis. Skin Res Technol. 2005;11(3):157–164.

    PubMed  Google Scholar 

  28. Day DJ, et al. The wrinkle severity rating scale: a validation study. Am J Clin Dermatol. 2004;5(1):49–52.

    PubMed  Google Scholar 

  29. Kim EJ, Reeck JB, Maas CS. A validated rating scale for hyperkinetic facial lines. Arch Facial Plast Surg. 2004;6(4):253–256.

    PubMed  Google Scholar 

  30. Morizot F, et al. Development of photographic scales documenting features of skin aging based on digital images. Ann Dermatol Venereol. 2002;129(10) Pt 1:1s402.

    Google Scholar 

  31. Fleiss JL. Measuring nominal scale agreement among many raters. Psychol Bull. 1971;76:378–382.

    Google Scholar 

  32. Feinstein AR, Cicchetti DV. High agreement but low kappa: I. The problems of two paradoxes. J Clin Epidemiol. 1990;43(6):543–549.

    CAS  PubMed  Google Scholar 

  33. Cicchetti DV, Feinstein AR. High agreement but low kappa: II. Resolving the paradoxes. J Clin Epidemiol. 1990;43(6):551–558.

    CAS  PubMed  Google Scholar 

  34. Fleiss JL, Cohen J. The equivalence of weighted kappa and the intraclass correlation coefficient as measures of reliability. Educ Psychol Meas. 1973;33:613–619.

    Google Scholar 

  35. Fleiss JL. Statistical Methods for Rates and Proportions. New York: Wiley, 1981.

    Google Scholar 

  36. Valet F, et al. Quality assessment of ordinal scale reproducibility: Log-linear models provided useful information on scale structure. J Clin Epidemiol. 2008;61(10):983–990.

    PubMed  Google Scholar 

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Acknowledgment

The authors gratefully acknowledge the dedicated efforts of the SU.VI.MAX participants, and the investigators and staff involved in this study, in particular Dr. Raymonde Danila and Dr. Randa Jdid. The authors wish also to gratefully acknowledge Dr. Catherine Larnier for her kind interest in this research.

Author information

Authors and Affiliations

  1. Biostatistics Department, Institut Curie, Paris, France

    Fabien Valet

  2. Biometrics and Epidemiology Unit, CE.R.I.E.S., Neuilly-sur-Seine, France

    Fabien Valet & Christiane Guinot PhD, DSc

  3. INSERM U717, Biostatistics and Clinical Epidemiology, DBIM, Saint-Louis Hospital, University Paris 7,  , France

    Fabien Valet & Jean-Yves Mary

  4. Department of Dermatology, CHU Saint-André, Bordeaux, France

    Khaled Ezzedine

  5. UMR U557 INSERM/U1125 INRA/EA3200 CNAM/University Paris 13, Bobigny, France

    Khaled Ezzedine

  6. EA 3677 and Centre René-Labusquière, Université Victor Segalen Bordeaux 2 and Department of Internal Medicine and Tropical Diseases, University Hospital Center, Bordeaux, France

    Denis Malvy

  7. Computer Science Laboratory, Ecole Polytechnique, University François Rabelais of Tours, Tours, France

    Christiane Guinot PhD, DSc

Authors
  1. Fabien Valet
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  2. Khaled Ezzedine
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  3. Denis Malvy
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  4. Jean-Yves Mary
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  5. Christiane Guinot PhD, DSc
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Editor information

Editors and Affiliations

  1. The Procter & Gamble Company, 6110 Center Hill Avenue, 45224, Cincinnati, OH, USA

    Miranda A. Farage Ph.D. (Principal Scientist) (Principal Scientist)

  2. The Procter & Gamble Company, 6110 Center Hill Avenue, 45224, Cincinnati, OH, USA

    Kenneth W. Miller Ph.D. (Associate Director) (Associate Director)

  3. Department of Dermatology, University of California, School of Medicine, 222 SE 8th Ave., Suite 563, 94122, San Francisco, CA, USA

    Howard I. Maibach M.D. (Professor) (Professor)

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© 2010 Springer-Verlag Berlin Heidelberg

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Valet, F., Ezzedine, K., Malvy, D., Mary, JY., Guinot, C. (2010). Assessing Quality of Ordinal Scales Depicting Skin Aging Severity. In: Farage, M.A., Miller, K.W., Maibach, H.I. (eds) Textbook of Aging Skin. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89656-2_87

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  • DOI: https://doi.org/10.1007/978-3-540-89656-2_87

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89655-5

  • Online ISBN: 978-3-540-89656-2

  • eBook Packages: MedicineReference Module Medicine

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