ArticleWorld journal of urology2019
Prostate cancer navigation: initial experience and association with time to care.
Article in World journal of urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Patient Navigation in Cancer Treatment: A Systematic Review.Current oncology reports · 2024Pooled it
- Negative spillover due to constraints on care delivery: a potential source of bias in pragmatic clinical trials.Trials · 2024Article
- The Lancet Commission on prostate cancer: planning for the surge in cases.Lancet (London, England) · 2024Review
- Strategies to enhance the approach to prostate cancer screening of South African black men in the Free State: a Delphi study.Journal of public health in Africa · 2023Article
- Influence of a patient navigation program on timeliness of care in patients with esophageal cancer.Cancer medicine · 2023Article
- Helping Men Find Their Way: Improving Prostate Cancer Clinic Attendance via Patient Navigation.Journal of community health · 2020Article
- Patient navigation for overactive bladder improves access to care.International urogynecology journal · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate factors associated with use of patient navigation in a prostate cancer population and identify whether navigation is associated with prolonged time to care. Cancer patient navigation has been shown to improve access to cancer screening, diagnosis, and treatment, but little is known about patient navigation in prostate cancer care.
methodsAll men diagnosed with localized prostate cancer between 2009 and 2015 were abstracted from the MaineHealth multi-specialty tumor registry. Regression analyses controlling for patient-, disease-, and system-level factors evaluated characteristics associated with navigation utilization. The association between navigation utilization, barriers to care, and longer time to treatment was assessed with Cox proportional hazards regression.
resultsOf the patient population (n = 1587), 85% of men were navigated. Navigation use was associated with earlier year of diagnosis, treatment by a high-volume urologist, and lower risk disease (p < 0.05). Treatment delay was associated with low-risk disease (vs: intermediate OR 0.62, 95% CI 0.46-0.85 and high OR 0.16, 95% CI 0.1-0.25) and receipt of navigation services (OR 1.65, 95% CI 1.12-2.45) but not distance to care, insurance, or treatment choice.
conclusionsWe observed that patients with low-risk prostate cancer were more likely to utilize navigation, but traditional barriers to care were not associated with utilization. Navigation was associated with longer time to treatment, which likely reflects clinically appropriate delays associated with greater shared decision making. Time to treatment may not be the ideal metric for evaluating navigation in prostate cancer; shared decision making, patient satisfaction, and psychosocial outcomes may be more appropriate.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.