Rosacea and Associated Comorbidities: A Google Search Trends Analysis (Preprint)
Notice bibliographique
Résumé
BACKGROUND Rosacea is a common skin condition that affects millions of individuals across the globe. While the pathogenesis of rosacea remains unclear, there is mounting evidence linking rosacea with systemic conditions. In recent years numerous reports have demonstrated correlations between rosacea and gastrointestinal, neurologic, and psychiatric disease. Given the mounting evidence linking rosacea with systemic disease, we sought to assess whether the general public is aware and seeking information regarding these trends. OBJECTIVE Our aim was to evaluate whether there exists a correlation between Google searches for rosacea and common comorbid conditions over the time period of January 2004 to February 2018. METHODS Using data acquired from Google, we assessed for correlations between search terms involving rosacea and systemic diseases to ascertain whether this is an area of emerging interest in the general public. The search term rosacea along with 24 other search terms for common comorbid conditions were investigated over the time period of January 1, 2004 to February 28, 2018 in the four majority English-speaking countries of US, Canada, UK, and Australia. Search volume index (SVI) data were plotted over time and Pearson correlation coefficients were calculated from search data to assess for correlations between search terms. Statistical analysis was performed using IBM SPSS Statistics version 25.0. RESULTS Interest in rosacea was highest in spring months (March, April, May) and lowest in winter months (December, January, February) in the US, Canada, and UK from January 2004 to February 2018. Search trends for gastrointestinal disorders IBS (R = .399, P < .001) and ulcerative colitis (R = .514, P = .032) correlated significantly with rosacea in Canada and the UK respectively. A significant correlation was found between rosacea and depression SVI in the US (R = .481, P < .001), while no significant correlation was found between the two search terms in the UK, Canada, or Australia. A very strong positive correlation between dementia and rosacea SVI was found in the UK (R= .774, P = .011). A robust correlation was found between rosacea and hypothyroidism SVI (R = .752, P < .001) in the UK, while a significant negative correlation was noted between rosacea and hyperthyroidism SVI in Australia (R= -.180, P = .003). CONCLUSIONS In light of increasing awareness of links between rosacea and systemic disease, our results demonstrate several strong correlations in public interest of rosacea and comorbid disease. These correlations were strongest for gastrointestinal (IBS and UC), neuropsychiatric (depression and dementia), and metabolic conditions (hypothyroidism, diabetes). Overall, our findings indicate growing interest in the general public regarding rosacea and comorbid diseases, which behooves clinicians to take a more comprehensive approach in managing rosacea patients.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,003 |
| Bibliométrie | 0,019 | 0,037 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».