Evidence map›Paper›PMID 27661747›Full record

ArticleDermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.]2016

Development and Validation of a Photonumeric Scale for Evaluation of Static Horizontal Forehead Lines.

Alastair Carruthers, Lisa Donofrio, Bhushan Hardas, Diane K Murphy, Jean Carruthers, Jonathan M Sykes, Derek Jones, Lela Creutz, Ann Marx, Sara Dill

Abstract readValidation Study
In one paragraph

Article in Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.], 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Development and Validation of a Photonumeric Scale for Evaluation of Volume Deficit of the Hand.Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] · 2016
    Article
  9. Development and Validation of a Photonumeric Scale for Evaluation of Infraorbital Hollows.Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] · 2016
    Article
  10. Development and Validation of a Photonumeric Scale for Evaluation of Facial Fine Lines.Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] · 2016
    Article
  11. Development and Validation of a Photonumeric Scale for Evaluation of Transverse Neck Lines.Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] · 2016
    Article
  12. Development and Validation of a Photonumeric Scale for Evaluation of Facial Skin Texture.Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] · 2016
    Article
  13. Development and Validation of a Photonumeric Scale for Assessment of Chin Retrusion.Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] · 2016
    Article
  14. Development and Validation of a Photonumeric Scale for Evaluation of Volume Deficit of the Temple.Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] · 2016
    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

10 authors.

Alastair Carruthers*Department of Dermatology and Skin Science, University of British Columbia, Vancouver, British Columbia, Canada; †Department of Dermatology, Yale University School of Medicine, New Haven, Connecticut; ‡Allergan plc, Irvine, California; §Department of Ophthalmology and Visual Sciences, University of British Columbia, Vancouver, British Columbia, Canada; ‖UC Davis Medical Group, Sacramento, California; ¶Division of Dermatology, University of California at Los Angeles, Los Angeles, California; #Peloton Advantage, LLC, Parsippany, New Jersey.
Lisa Donofrio
Bhushan Hardas
Diane K Murphy
Jean Carruthers
Jonathan M Sykes
Derek Jones
Lela Creutz
Ann Marx
Sara Dill

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA validated scale is needed for objective and reproducible comparisons of static forehead lines before and after treatment in practice and clinical studies.

objectiveTo describe the development and validation of the 5-point photonumeric Allergan Forehead Lines Scale.

methodsThe Allergan Forehead Lines Scale was developed to include an assessment guide, verbal descriptors, morphed images, and real subject images for each scale grade. The clinical significance of a 1-point score difference was evaluated in a review of multiple image pairs representing varying differences in severity. Interrater and intrarater reliability was evaluated in a live-subject validation study (N = 295) completed during 2 sessions occurring 3 weeks apart.

resultsA difference of ≥1 point on the scale was shown to reflect a clinically significant difference (mean [95% confidence interval] absolute score difference, 1.06 [0.91-1.21] for clinically different image pairs and 0.38 [0.26-0.51] for not clinically different pairs). Intrarater agreement between the 2 live-subject validation sessions was almost perfect (mean weighted kappa = 0.87). Interrater agreement was almost perfect during the second rating session (0.86, primary end point).

conclusionThe Allergan Forehead Lines Scale is a validated and reliable scale for physician rating of static horizontal forehead lines.

Indexed as

PhotographyAdolescentAdultAgedAged, 80 and overFemaleForeheadHumansMaleMiddle AgedObserver VariationReproducibility of ResultsSeverity of Illness IndexYoung Adult

Identifiers

PMID27661747
PMCPMC5671802

What OpenQuestion holds

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Registered trials

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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.