关键词: association studies diagnostic intervals ovarian cancer systematic review

Mesh : Humans Female Ovarian Neoplasms / diagnosis mortality therapy Time-to-Treatment / statistics & numerical data Delayed Diagnosis / statistics & numerical data Early Detection of Cancer

来  源:   DOI:10.1089/jwh.2023.1160

Abstract:
Background: Ovarian cancer is commonly diagnosed symptomatically at an advanced stage. Better survival for early disease suggests improving diagnostic pathways may increase survival. This study examines literature assessing diagnostic intervals and their association with clinical and psychological outcomes. Methods: Medline, EMBASE, and EmCare databases were searched for studies including quantitative measures of at least one interval, published between January 1, 2000 and August 9, 2022. Interval measures and associations (interval, outcomes, analytic strategy) were synthesized. Risk of bias of association studies was assessed using the Aarhus Checklist and ROBINS-E tool. Results: In total, 65 papers (20 association studies) were included and 26 unique intervals were identified. Interval estimates varied widely and were impacted by summary statistic used (mean or median) and group focused on. Of Aarhus-defined intervals, patient (symptom to presentation, n = 23; range [median]: 7-168 days) and diagnostic (presentation to diagnosis, n = 22; range [median]: 7-270 days) were most common. Nineteen association studies examined survival or stage outcomes with most, including five low risk-of-bias studies, finding no association. Conclusions: Studies reporting intervals for ovarian cancer diagnosis are limited by inconsistent definitions and reporting. Greater utilization of the Aarhus statement to define intervals and appropriate analytic methods is needed to strengthen findings from future studies.
摘要:
背景:卵巢癌通常是晚期的症状诊断。早期疾病更好的生存率表明,改善诊断途径可能会增加生存率。这项研究检查了评估诊断间隔及其与临床和心理结果的关联的文献。方法:Medline,EMBASE,搜索EmCare数据库中的研究,包括至少一个间隔的定量测量,在2000年1月1日至2022年8月9日之间发布。间隔度量和关联(间隔,结果,分析策略)进行了综合。使用Aarhus检查表和ROBINS-E工具评估关联研究的偏倚风险。结果:总的来说,包括65篇论文(20项关联研究),并确定了26个独特的间隔。间隔估计差异很大,并受到使用的汇总统计量(平均值或中位数)和小组关注的影响。在奥尔胡斯定义的间隔中,患者(症状到表现,n=23;范围[中位数]:7-168天)和诊断(向诊断的呈现,n=22;范围[中位数]:7-270天)最常见。19项关联研究检查了生存或阶段结果,大多数,包括五项低偏倚风险研究,没有发现关联。结论:报告卵巢癌诊断间隔的研究受到不一致定义和报告的限制。需要更多地利用奥尔胡斯声明来定义间隔和适当的分析方法,以加强未来研究的发现。
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