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谷歌趋势数据在分析公众对乳房手术的兴趣方面的效用。

The Utility of Google Trends Data for Analyzing Public Interest in Breast Procedures.

作者信息

Tijerina Jonathan D, Morrison Shane D, Vail Daniel G, Lee Gordon K, Nazerali Rahim

机构信息

Division of Plastic Surgery, Department of Surgery, University of Washington School of Medicine, Seattle, WA.

Division of Plastic Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA.

出版信息

Ann Plast Surg. 2019 May;82(5S Suppl 4):S325-S331. doi: 10.1097/SAP.0000000000001806.

Abstract

BACKGROUND

Google Trends (GT) is a free, open-source tool that permits customizable analysis of search term volumes entered into the Google search engine. Google Trends data may offer useful and actionable insight to plastic surgeons pertaining to worldwide, national, and regional evolution of patient interest for breast procedures and other common surgeries.

METHODS

Search terms were generated using the "related queries" feature of GT. Google Trends data were collected for breast lift, breast reduction, breast reconstruction, and male breast reduction from January 2004 to September 2017. Case volumes for respective procedures were obtained from the American Society of Plastic Surgeons (ASPS) annual statistics reports for the calendar year 2006 to 2016. Trend analysis was performed using univariate linear regression analysis of ASPS statistics and GT search data.

RESULTS

Total search volume varied geographically and temporally during the study period. Statistically significant positive correlations between GT and ASPS data were as follows: breast lift: "mastopexy" (R = 0.445, P = 0.025); male breast reduction: "gynecomastia surgery" (R = 0.45, P = 0.024); and breast reconstruction: "tissue expander" (R = 0.806, P ≤ 0.001) and "TRAM flap reconstruction" (R = 0.764, P = 0.002). For several search terms, no significant correlation was detected, highlighting the importance for careful selection of terms.

摘要

背景

谷歌趋势(GT)是一款免费的开源工具,可对输入谷歌搜索引擎的搜索词数量进行定制分析。谷歌趋势数据可为整形外科医生提供有关全球、国家和地区患者对乳房手术及其他常见手术兴趣演变的有用且可采取行动的见解。

方法

使用GT的“相关查询”功能生成搜索词。收集了2004年1月至2017年9月期间乳房提升、乳房缩小、乳房重建和男性乳房缩小的谷歌趋势数据。各手术的病例数量来自美国整形外科医师协会(ASPS)2006年至2016年历年的年度统计报告。使用ASPS统计数据和GT搜索数据的单变量线性回归分析进行趋势分析。

结果

在研究期间,总搜索量在地理和时间上有所变化。GT与ASPS数据之间具有统计学意义的正相关如下:乳房提升:“乳房固定术”(R = 0.445,P = 0.025);男性乳房缩小:“男性乳房肥大手术”(R = 0.45,P = 0.024);以及乳房重建:“组织扩张器”(R = 0.806,P≤0.001)和“腹直肌肌皮瓣重建”(R = 0.764,P = 0.002)。对于几个搜索词,未检测到显著相关性,这突出了仔细选择搜索词的重要性。

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