Evidence map›Paper›PMID 35211668›Full record

ArticleAesthetic surgery journal. Open forum2022

A Single-Center Pilot Study to Classify Signs of Dorsal Hand Aging Using 3 Grading Scales.

Christine E Wamsley, Nicole Vingan, Jennifer Barillas, Abby Culver, David M Turer, Jeffrey M Kenkel

Abstract read
In one paragraph

Article in Aesthetic surgery journal. Open forum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

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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

6 authors.

Christine E WamsleyDepartment of Plastic Surgery, UT Southwestern Medical Center, Dallas, TX, USA.
Nicole VinganDepartment of Plastic Surgery, UT Southwestern Medical Center, Dallas, TX, USA.ORCID https://orcid.org/0000-0003-2246-0975
Jennifer BarillasDepartment of Plastic Surgery, UT Southwestern Medical Center, Dallas, TX, USA.
Abby CulverDepartment of Plastic Surgery, UT Southwestern Medical Center, Dallas, TX, USA.
David M TurerDepartment of Plastic Surgery, UT Southwestern Medical Center, Dallas, TX, USA.ORCID https://orcid.org/0000-0003-0932-8822
Jeffrey M KenkelDepartment of Plastic Surgery, UT Southwestern Medical Center, Dallas, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile validated scales must be created in order to systemically evaluate patients and quantify outcomes of aesthetic hand treatments, scales currently available are limited to the analysis of volume loss alone.

objectivesThe purpose of this study was to develop 3 validated scales for the assessment of dorsal hand aging that also take into consideration wrinkling and pigmentation.

methodsFifty (50) healthy volunteers (40 females and 10 males) with Fitzpatrick skin types I-IV were recruited, and standard photographs of their left and right dorsal hands were taken with a Nikon D7100 (Nikon; Minato, Tokyo, Japan) camera. Using 25 randomized photographs, 11 plastic surgery physicians (3 chief residents, 6 senior residents, and 2 aesthetic surgery fellows) were trained on the 3 scales under investigation as well as the already-validated Merz Hand Grading Scale (MHGS). The evaluators then viewed the remaining 75 photographs independently and assigned a grade for each of the 4 scales to each photograph. Inter-rater variability was calculated for each scale.

resultsThe Kappa score for the MHGS was 0.25, indicating fair agreement; 0.40 for wrinkle scale, indicating fair agreement; and 0.48 and 0.46 for the pigmentation density and intensity scales, respectively, indicating moderate agreement (

conclusionsThe results show that after receiving training, the inter-rater agreement for the 3 scales under investigation was similar or slightly higher than that for the MHGS. These 3 photographic classification systems can be used consistently and reliably to characterize multiple signs of dorsal hand aging. LEVEL OF EVIDENCE 2:

Identifiers

PMID35211668
PMCPMC8862723

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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.