2008
DOI: 10.1111/j.1524-4725.2008.34364.x
|View full text |Cite
|
Sign up to set email alerts
|

A Validated Grading Scale for Forehead Lines

Abstract: The 5-point photonumeric scale generated spans the severity of forehead lines for which patients commonly seek correction. The scale is well stratified for consistent rating.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
75
0

Year Published

2011
2011
2022
2022

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 57 publications
(77 citation statements)
references
References 6 publications
0
75
0
Order By: Relevance
“…Thus, the estimator trueρ^ can be derived as 3trueρ^=trueσ^a2σtrue^a2+σtrue^b2+σtrue^ab2+σtrue^ϵ2=italicBMSitalicEMSitalicBMS+()k1italicEMS+kn()italicJMSitalicEMSwhere (a) BMS is the between‐subjects mean square in 4 and refers to the departure of the mean grade across repeated ratings on the i th subject from the overall mean; (b) JMS is the between‐raters mean square in 5 and refers to the departure of the mean across repeated ratings of the j th rater from the overall mean; and (c) EMS is the residual mean square in 6 and refers to the departure of the j th rater from their usual ratings on the i th subject. italicBMS=ki=1ntruex¯i.truex¯..2n1 italicJMS=nj=1ktruex¯.jtruex¯..2k1 italicEMS=i=1nj=1kxitalicijtruex¯i.truex¯.j+truex¯..2()n1()k1…”
Section: Intraclass Correlation Coefficientmentioning
confidence: 99%
See 2 more Smart Citations
“…Thus, the estimator trueρ^ can be derived as 3trueρ^=trueσ^a2σtrue^a2+σtrue^b2+σtrue^ab2+σtrue^ϵ2=italicBMSitalicEMSitalicBMS+()k1italicEMS+kn()italicJMSitalicEMSwhere (a) BMS is the between‐subjects mean square in 4 and refers to the departure of the mean grade across repeated ratings on the i th subject from the overall mean; (b) JMS is the between‐raters mean square in 5 and refers to the departure of the mean across repeated ratings of the j th rater from the overall mean; and (c) EMS is the residual mean square in 6 and refers to the departure of the j th rater from their usual ratings on the i th subject. italicBMS=ki=1ntruex¯i.truex¯..2n1 italicJMS=nj=1ktruex¯.jtruex¯..2k1 italicEMS=i=1nj=1kxitalicijtruex¯i.truex¯.j+truex¯..2()n1()k1…”
Section: Intraclass Correlation Coefficientmentioning
confidence: 99%
“…Meanwhile, the uniform distribution has an unambiguous definition with equal percentages of subjects across grades, making it straightforward to compare results across scales and across studies. For some scale reliability studies, this consideration can be addressed by preselecting subject images to ensure uniform distributions across scale grades5, 7, 8, 12, 16; this structure ensures that each grade in the scale is well represented, and the full range of the scale is utilized, explored, and evaluated, as desired in instrument design and testing 37. However, this structure may not be feasible for studies addressing multiple scales with different distributions.…”
Section: Impact Of Distribution Sample Size and Disagreements On Iccmentioning
confidence: 99%
See 1 more Smart Citation
“…At each assessment, the investigator and subject assessed horizontal forehead and glabellar wrinkle severity both at rest and full contraction using the 5WS or 5GS (0 = no wrinkles, 1 = minimal wrinkles, 2 = mild wrinkles, 3 = moderate wrinkles, 4 = severe wrinkles). 20,21 If asymmetry was present, the investigator and subject rated the side with more severe wrinkles. Full contraction wrinkle values were used for the assessment of efficacy per the primary end point of the study.…”
Section: Assessmentsmentioning
confidence: 99%
“…20,21 Exclusion criteria included but were not limited to the use of blood-thinning agents, neuromuscular dysfunctions, previous cosmetic surgery, and visible scars in the treatment area. Subjects with a Fitzpatrick skin Type 5 or 6 were excluded because of the concerns for an increased risk of transient pigmentation changes.…”
Section: Subject Selection and Characteristicsmentioning
confidence: 99%