ArticleThe Prostate2017
Risk factors for metastatic prostate cancer: A sentinel event case series.
Article in The Prostate, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Assessing the Level of Prostate Cancer Care in a Low-Resource Setting: Disease Pattern, Current Situation of Care, and the Need for Reform-A Retrospective Observational Study From East Oncology Centre, Sudan.Advances in urology · 2026Article
- Impact of family history of cancer on risk and mortality of second cancers in patients with prostate cancer.Prostate cancer and prostatic diseases · 2019Article
- Evolving Intersection Between Inherited Cancer Genetics and Therapeutic Clinical Trials in Prostate Cancer: A White Paper From the Germline Genetics Working Group of the Prostate Cancer Clinical Trials Consortium.JCO precision oncology · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundRoot cause analysis is a technique used to assess systems factors related to "sentinel events"-serious adverse events within healthcare systems. This technique is commonly used to identify factors, which allowed these adverse events to occur, to target areas for improvement and to improve health care delivery systems. We sought to apply this technique to men presenting with metastatic prostate cancer (PCa).
methodsWe performed an in-depth case series analysis of 15 patients, who presented with metastatic disease at Johns Hopkins Sidney Kimmel Comprehensive Cancer Center using root cause analysis to refine a list of health system factors that lead to late stage presentation in the current era.
resultsKey factors in late diagnosis of PCa included lack of insurance, lack of routine PSA testing, comorbidities, reticence of patients to follow up actionable PSA, and aggressive disease. Three patients had aggressive disease that would not have been discovered at an early stage in the disease process, despite routine screening. However, analysis of the remaining 12 patients illuminated health system factors led to missing important diagnostic information, which might have led to diagnosis of PCa at a curable stage.
conclusionsThe cases help highlight the need for systems based approaches to early diagnosis of PCa. A heterogeneous group of barriers to early diagnosis were identified in our series of patients including economic, health systems, and cultural factors. These findings underscore the need for individualized approaches to preventing delayed diagnosis of PCa. While limited by our single-institution scope, this approach provides a model for research and quality improvement initiatives to identify modifiable systems factors impeding appropriate diagnoses of PCa.
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