OC12.06: Using online search activity for earlier detection of gynecological malignancy*
OC12.06: Using online search activity for earlier detection of gynecological malignancy*
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OC12.06：利用在线搜索活动及早发现妇科恶性肿瘤*
DOI：
10.1002/uog.26400
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发表时间：
2023
影响因子：
7.1
通讯作者：
Barcroft J
中科院分区：
文献类型：
--
作者：
Barcroft J
目的评价妇科恶性和良性疾病的网上搜索模式是否不同。确定是否在线搜索数据（OSD）可以使早期检测妇科cancer.MethodsThis是一个前瞻性队列研究，在有症状的个人（谷歌用户）OSD评估。他们在2020年12月至2022年6月期间因疑似癌症被转介到帝国理工学院医疗保健NHS信托基金。OSD（24个月）通过Google Takeout（GT）文件提取并伪匿名。应用健康过滤器提取相关数据。从临床记录中提取临床数据，包括年龄和临床/组织学诊断。完成了重点症状问卷调查。在GP转诊前不同时间间隔（630-0天）的OSD用于构建向量空间模型以预测结果（恶性）。结果共纳入255例患者，20例因GT文件为空而被排除，235例患者的中位年龄为53岁（20-81岁）。恶性肿瘤占26.0%，其中卵巢癌42例（68.9%），子宫内膜癌15例（24.6%）。基于OSD的模型在GP转诊前360天具有恶性肿瘤的预测信号（AUC 0.64）。在搜索医疗条件的个体中，表现最好的基于OSD的模型（630-60天）在GP转诊前60天达到AUC 0.82（n= 153，65.1%）。基于模型的预测性能相对较低（AUC 0.62）。ConclusionsThis study indicates，OSD似乎是不同的个体之间的良性和恶性妇科诊断。此外，在GP转诊日期之前似乎有一个预测信号，可用于早期检测妇科癌症。基于OSD的模型可以提供实时，个性化的妇科癌症风险特征，并有可能成为一种可访问的疾病筛查工具。
ObjectivesEvaluate whether online search patterns are different in malignant and benign gynecological diagnoses. Determine whether online search data (OSD) can enable the earlier detection of gynecological cancer.MethodsThis is a prospective cohort study, evaluating OSD in symptomatic individuals (Google users). They were referred with suspected cancer to Imperial College Healthcare NHS Trust, between December 2020-June 2022. OSD (24 months) was extracted via a Google Takeout (GT) file and pseudo-anonymised. A health-filter was applied to extract relevant data. Clinical data including age and clinical/histological diagnosis were extracted from clinical records. A focused symptom questionnaire was completed. OSD from various time intervals (630-to-0 days) before GP referral were utilised to build vector-space models to predict outcome (malignant). Area under the ROC curve (AUC) was used to evaluate model performance.Results255 patients were enrolled, and 20 were excluded due to empty GT files, resulting in a cohort of 235 patients with a median age of 53 (range 20-81). The rate of malignancy was 26.0%, with 42 ovarian (68.9%) and 15 endometrial cancers (24.6%) respectively. The OSD-based model had a predictive signal (AUC 0.64) for malignancy 360 days before GP referral. The best performing OSD-based model,(630-to-60 days), reached an AUC of 0.82 at 60 days before GP referral, in individuals who searched for medical conditions (n= 153, 65.1%). The questionnaire-based model comparatively had a lower predictive performance (AUC 0.62).ConclusionsThis study indicates that OSD appears to be different between individuals with a benign and malignant gynecological diagnosis. Furthermore, there appears to be a predictive signal in advance of GP referral date, which could be utilised to enable the earlier detection of gynecological cancer. An OSD-based model could provide real-time, individualised gynecological cancer risk profiles and has potential as an accessible disease screening tool.