ArticlePlastic and reconstructive surgery. Global open2022
Contextualizing Breast Implant Removal Patterns with Google Trends: Big Data Applications in Surgical Demand.
Article in Plastic and reconstructive surgery. Global open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Beyond the Posts: Analyzing Breast Implant Illness Discourse With Natural Language Processing and Deep Learning.Aesthetic surgery journal · 2025Article
- National Trends and In-Hospital Outcomes for Immediate Implant-Based Versus Autologous-Based Breast Reconstruction: A Propensity Score-Matched Analysis.Annals of surgical oncology · 2025Article
- Contextualizing the Impact of Pop Culture on Breast Implant Illness and its Medical Relevance.Aesthetic plastic surgery · 2024Article
- Drainless Implant Removal: A Technique to Minimize Breast Disfigurement After Explantation.Eplasty · 2024Article
- Exploring Factors Associated with Implant Removal Satisfaction in Breast Implant Illness Patients: A PRO BREAST-Q Study.Plastic and reconstructive surgery. Global open · 2023Article
- One-step Glandular Reconstruction after Breast Implant Removal: Technical Refinements and Grafting of the Inferior Dermoglandular Flap.Plastic and reconstructive surgery. Global open · 2023Article
- Social Media Usage by United States Plastic Surgery Subspecialty Fellowship Programs.Plastic and reconstructive surgery. Global open · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The demand for breast implant removal (BIR) has increased substantially in recent years. This study leveraged large datasets available through Google Trends to understand how changes in public perception could be influencing surgical demand, both geographically and temporally.
methodsUsing Google Trends, we extracted relative search volume for BIR-related search terms in the United States from 2006 to 2019. A network of related search terms was established using pairwise correlative analysis. Terms were assessed for correlation with national BIR case volume based on annual reports provided by the American Society of Plastic Surgeons. A surgical demand index for BIR was created on a state-by-state basis.
resultsA network of internally correlated BIR search terms was found. Search volumes for such terms, including "explant" [ρ = 0.912], "breast implant removal" [ρ = 0.596], "breast implant illness" [ρ = 0.820], "BII" [ρ = 0.600], and "ALCL" [ρ = 0.895] (
conclusionsGoogle Trends is a powerful tool for tracking public interest and subsequently, online health information seeking behavior. There are clear networks of related Google search terms that are correlated with actual BIR surgical volume. Understanding the online health queries patients have can help physicians better understand the factors driving patient decision-making.
Identifiers
What OpenQuestion holds
Registered trials
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.