2022
DOI: 10.1002/jso.27097
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Socioeconomic and insurance‐related disparities in disease‐specific survival among patients with metastatic bone disease

Abstract: Background: Approximately 5% of cancer patients in the United States presented with metastatic bone disease (MBD) at diagnosis. Current study explores the disparities in survival for patients with MBD. Methods: Patients with the diagnosis of MBD at presentation for the five most common primary anatomical sites were extracted from Surveillance, Epidemiology, and End Results Census tract-level dataset (2010-2016). Kaplan-Meier and Cox Proportional Hazard models were used to evaluate survival, and prognostic fact… Show more

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Cited by 6 publications
(7 citation statements)
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“…Similarly, non‐Hispanic American Indian/Alaskan Native had higher incidence of MBD for cancers originating from renal and colon 1 . SES (lung, prostate, breast, and colon) and insurance‐related (lung and breast) disparities in survival were also seen among patients with MBD 2 …”
Section: Disparities In Primary Bone Malignanciesmentioning
confidence: 95%
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“…Similarly, non‐Hispanic American Indian/Alaskan Native had higher incidence of MBD for cancers originating from renal and colon 1 . SES (lung, prostate, breast, and colon) and insurance‐related (lung and breast) disparities in survival were also seen among patients with MBD 2 …”
Section: Disparities In Primary Bone Malignanciesmentioning
confidence: 95%
“…1 SES (lung, prostate, breast, and colon) and insurance-related (lung and breast) disparities in survival were also seen among patients with MBD. 2 The impact of SDOH on MBD is especially impactful on the general population health given the relative prevalence of MBD. More than 250 000 people in the United States are living with MBD, 48,49 and this number continues to increase as advances in oncologic care lead to increased survival time from time of diagnosis.…”
Section: Disparities In Mbdmentioning
confidence: 99%
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“…Orthopaedic oncologists play a critical role in the management of these patients living with metastatic bone disease, including planning prophylactic stabilization or reconstruction for patients with high risk of impending pathologic fracture. 16 Recently, in the field of musculoskeletal oncology, several prognostic machine learning algorithms have been developed to predict survivorship in patients who undergo surgery for metastatic bone disease. 10 However, the utility of social determinants of health as prognostic factors for survivorship has not been adequately studied.…”
Section: Discussionmentioning
confidence: 99%