Assessing the reliability of four severity scales depicting skin ageing features

Valet, Fabien; Ezzedine, Khaled; Malvy, Denis; Mary, Jean Yves; Guinot, Christiane

doi:10.1111/j.1365-2133.2009.09148.x

Cited by 18 publications

(24 citation statements)

References 20 publications

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“…Reliability was examined in 44 studies including test–retest ( n = 36) and interrater reliability ( n = 34). The methodology of reliability analysis was excellent for one, good for nine and fair or poor for 34 studies . Internal consistency and measurement error were investigated in two studies with poor methodology …”

Section: Resultsmentioning

confidence: 99%

Evaluation of skin ageing: a systematic review of clinical scales

et al. 2015

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Clinical scales are widely used in anti-ageing research and practice. More than 100 skin ageing scales exist, which makes it difficult to choose outcome measures and to compare study results. The objectives were to assess and evaluate the quality of measurement properties of available clinical skin ageing scales. A systematic review was conducted. Electronic databases including Medline (1970 to June 2013) and EMBASE (1974 to June 2013) were searched via Ovid SP. To enhance the sensitivity forward searches were conducted in Scopus and Web of Science. We identified 111 scales in 52 included publications. Thirty studies had good methodology for at least one measurement property. Forty-two scales were evaluated for their test-retest or interrater reliability. Nineteen showed high reliability coefficients. A further 15 instruments were partly supported by content and/or structural and/or criterion validity and/or hypotheses-testing evidence. The majority of existing clinical skin ageing scales were developed for evaluating facial characteristics. Many scales quantify similar constructs. In contrast to the high number of available scales there is limited evidence supporting their measurement properties. Recommendations for the use of specific skin ageing scales for clinical studies must be made with caution because of the high number of studies with poor methodology. Development of new instruments should be justified, and existing ones investigated for scale behaviour using appropriate methods. Future research should aim to select and/or adapt existing scales to identify the 'best' to improve clinical research and practice.

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Section: Resultsmentioning

confidence: 99%

Evaluation of skin ageing: a systematic review of clinical scales

et al. 2015

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“…These features are integrated into an overall score meant to convey severity. However, these measurements are inherently subjective and are often insensitive and not reproducible [7,24,25,31]. Weighted κ statistics are needed to evaluate reproducibility [31], as it measures the interobserver variation in evaluating the same patient by comparing the degree of agreement between two observers compared with the degree of agreement by chance alone [32].…”

Section: Photonumeric Scalesmentioning

confidence: 99%

“…However, these measurements are inherently subjective and are often insensitive and not reproducible [7,24,25,31]. Weighted κ statistics are needed to evaluate reproducibility [31], as it measures the interobserver variation in evaluating the same patient by comparing the degree of agreement between two observers compared with the degree of agreement by chance alone [32]. The range of possible values of κ is from -1 to 1, where 1 represents a perfect agreement between the observers, 0 is exactly what would be expected by chance, and negative values indicate a potential systematic disagreement between the observers.…”

Section: Photonumeric Scalesmentioning

confidence: 99%

“…One conducted by Valet et al [31] studied the glabellar frown lines scale, expression lines scale, wrinkles under the eyes scale, and Larnier's photonumeric scale [31]. This study used photographs of 253 French female subjects and determined that only the glabellar frown lines scale scoring was consistently reproducible with no apparent scale defects [31].…”

Section: Comparing Photonumeric Scalesmentioning

confidence: 99%

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Evaluation and assessment of photoaging

Baron

2013

Photonics &Amp; Lasers in Medicine

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The assessment of photoaging is a huge component not only in clinical practice, but also in human research studies geared towards anti-aging therapies, photoprotection or mechanistic studies to understand the effects of ultraviolet light on the skin. However, evaluation remains difficult to standardize. Photonumeric scales are superior to descriptive evaluations, and have been used with some validity and reproducibility. Newer techniques that employ more sophisticated imaging modalities may be necessary. In addition, consideration of skin color, ethnicity, gender, and specific anatomic regions of the face play a role in the evaluation.

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“…Because skin aging phenotype varies according to the population, not universal but ethnicity-specific aging characteristics could only be correlated with age-associated diseases. Photographic severity scales and other clinical methods are developed to assess the severity of skin aging features [9,20].…”

Section: Introductionmentioning

confidence: 99%

Skin mirrors human aging

Nikolakis

Makrantonaki²,

Zouboulis

2013

Hormone Molecular Biology and Clinical Investigation

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Aged skin exhibits disturbed lipid barrier, angiogenesis, production of sweat, immune functions, and calcitriol synthesis as well as the tendency towards development of certain benign or malignant diseases. These complex biological processes comprise endogenous and exogenous factors. Ethnicity also markedly influences the phenotype of skin aging. The theories of cellular senescence, telomere shortening and decreased proliferative capacity, mitochondrial DNA single mutations, the inflammation theory, and the free radical theory try to explain the biological background of the global aging process, which is mirrored in the skin. The development of advanced glycation end-products and the declining hormonal levels are major factors influencing intrinsic aging. Chronic photodamage of the skin is the prime factor leading to extrinsic skin aging. The deterioration of important skin functions, due to intrinsic and extrinsic aging, leads to clinical manifestations, which mirror several internal age-associated diseases such as diabetes, arterial hypertension and malignancies.

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Assessing the reliability of four severity scales depicting skin ageing features

Abstract: International audiencePhotographic severity scales depicting facial wrinkling are used extensively to assess the severity of skin ageing features, but they have been poorly investigated for their reproducibility

Cited by 18 publications

References 20 publications

Evaluation of skin ageing: a systematic review of clinical scales

Evaluation of skin ageing: a systematic review of clinical scales

Evaluation and assessment of photoaging

Skin mirrors human aging

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