Background: Chemical peels are an exceedingly popular cosmetic treatment with a wide variety of suppliers, each with its own online health resource describing the procedure. With increasing reliance on the internet for medical information, it is crucial that these resources provide reliable information for patients to make informed decisions.
Objectives: The aim of this study was to examine popular chemical peel resources and determine if those that offered chemical peel treatments (Sales) had lower readability, quality of information, and technical features compared with those that did not (Scholarly).
Methods: The term "chemical peel" was searched in July 2020 and the top 50 websites were retrieved for analysis. Each resource's readability, quality, and technical features were measured through 8 readability formulas, the DISCERN and Health on the Net Code (HONcode), and 2 website performance monitors.
Results: The 50 websites were analyzed with an average Fry readability score of 13th grade. Scholarly websites displayed higher readability than Sales (Flesch Reading Ease 54.4 > 47.4, = 0.047 and Coleman-Liau Index 10.6 < 11.7, = 0.04). Scholarly resources surpassed Sales both in quality (DISCERN 56.4 > 39.7, < 0.001 and HONcode 11.8 > 9.5, = 0.032) and technical features (WooRank 76.9 > 68.6, = 0.0082).
Conclusions: The average readability of chemical peel resources is too difficult, and their quality must be improved. Scholarly resources exhibited higher readability, quality, and technical features than Sales websites.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011339 | PMC |
| http://dx.doi.org/10.1093/asjof/ojab008 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Could less be enough: sublobar resection vs lobectomy for clinical stage IA non-small cell lung cancer patients with visceral pleural invasion or spread through air spaces.
Int J Surg
January 2025
Department of Thoracic Surgery, West China hospital, SiChuan University, Chengdu, China.
Background: While recent randomized controlled trials have demonstrated that sublobar resection is non-inferior to lobectomy, the comparative efficacy of these procedures remains uncertain for early-stage non-small cell lung cancer (NSCLC; ≤ 3 cm) exhibiting invasive features postoperatively, such as visceral pleural invasion (VPI) or spread through air spaces (STAS).
Materials And Methods: To identify eligible studies, a comprehensive search of PubMed, Embase, MEDLINE, the Cochrane Library, and Web of Science was conducted through 25 July 2024. Studies were screened according to predefined criteria in accordance with PRISMA guidelines.
MutualDTA: An Interpretable Drug-Target Affinity Prediction Model Leveraging Pretrained Models and Mutual Attention.
J Chem Inf Model
January 2025
School of Information Science & Engineering, Lanzhou University, Lanzhou 730000, China.
Efficient and accurate drug-target affinity (DTA) prediction can significantly accelerate the drug development process. Recently, deep learning models have been widely applied to DTA prediction and have achieved notable success. However, existing methods often encounter several common issues: first, the data representations lack sufficient information; second, the extracted features are not comprehensive; and third, most methods lack interpretability when modeling drug-target binding.
View Article and Find Full Text PDFRecognizing drivers' sleep onset by detecting slow eye movement using a parallel multimodal one-dimensional convolutional neural network.
Comput Methods Biomech Biomed Engin
January 2025
School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, Changzhou University, Changzhou, P.R. China.
Slow eye movements (SEMs) are a reliable physiological marker of drivers' sleep onset, often accompanied by EEG alpha wave attenuation. A parallel multimodal 1D convolutional neural network (PM-1D-CNN) model is proposed to classify SEMs. The model uses two parallel 1D-CNN blocks to extract features from EOG and EEG signals, which are then fused and fed into fully connected layers for classification.
View Article and Find Full Text PDFCross-cultural validation of plasma p-tau217 and p-tau181 as precision biomarkers for amyloid PET positivity: An East Asian study in Taiwan and Korea.
Alzheimers Dement
January 2025
Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.
Introduction: Plasma phosphorylated tau (p-tau) biomarkers have improved Alzheimer's disease (AD) diagnosis, but data from diverse Asian populations are limited. This study evaluated plasma p-tau217 and p-tau181 levels in Korean and Taiwanese populations.
Methods: All participants (n = 270) underwent amyloid positron emission tomography (PET) and blood tests.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!