Webber Colleen, Jiang Li, Grunfeld Eva, Groome Patti A
Department of Public Health Sciences, Queen's University, Kingston, ON, Canada.
Division of Cancer Care and Epidemiology, Queen's Cancer Research Institute, Queen's University, Kingston, ON, Canada.
Eur J Cancer Care (Engl). 2017 Mar;26(2). doi: 10.1111/ecc.12483. Epub 2016 Mar 7.
Delayed diagnosis of breast cancer can adversely impact patient outcomes. To better understand this issue, we conducted a scoping review of literature from 1996 to 2015 that examined predictors of delayed presentation and diagnosis among women with breast cancer symptoms. We performed searches to identify studies of predictors of the time from symptom onset to first presentation (the patient interval), first presentation to diagnosis (the diagnostic interval) and symptom onset to diagnosis (the total interval) among women with breast cancer symptoms. Two reviewers independently reviewed and abstracted the findings of these studies. Of the 22 studies included in this review, 16 examined predictors of the patient interval, six examined predictors of the diagnostic interval and four examined predictors of the total interval. A total of 116 predictors were examined; three had evidence of an association with a less timely diagnosis: not disclosing symptoms to others, non-lump breast symptoms and African American ethnicity. Improving awareness of atypical breast cancer symptoms and encouraging disclosure could improve the timeliness of a breast cancer diagnosis. Access concerns for vulnerable groups need to be addressed. Future research should be more purposeful in its choice of predictors, possibly through the use of established conceptual frameworks.
乳腺癌的延迟诊断会对患者的治疗结果产生不利影响。为了更好地理解这一问题,我们对1996年至2015年的文献进行了一项范围综述,该综述考察了有乳腺癌症状的女性延迟就诊和诊断的预测因素。我们进行了检索,以确定有关有乳腺癌症状的女性从症状出现到首次就诊(患者间隔时间)、首次就诊到诊断(诊断间隔时间)以及症状出现到诊断(总间隔时间)的预测因素的研究。两名评审员独立评审并提取了这些研究的结果。在本综述纳入的22项研究中,16项考察了患者间隔时间的预测因素,6项考察了诊断间隔时间的预测因素,4项考察了总间隔时间的预测因素。总共考察了116个预测因素;其中3个有证据表明与诊断不够及时有关:未向他人透露症状、非肿块性乳腺症状以及非裔美国人种族。提高对非典型乳腺癌症状的认识并鼓励症状披露可能会改善乳腺癌诊断的及时性。需要解决弱势群体的就医问题。未来的研究在预测因素的选择上应该更具针对性,可能需要通过使用既定的概念框架来实现。