Mortality following bone metastasis and skeletal-related events among patients 65 years and above with lung cancer: A population-based analysis of U.S. Medicare beneficiaries, 1999-2006

Sathiakumar, Nalini; Delzell, Elizabeth; Morrisey, Michael A.; Falkson, Carla I.; Yong, Mellissa; Chia, Victoria; Blackburn, Justin; Arora, Tarun; Kilgore, Meredith L.

doi:10.4103/0970-2113.106127

Cited by 39 publications

(42 citation statements)

References 24 publications

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“…In this study, 84.8% of the patients with BM had the non-small-cell histologic carcinoma type, which is compatible with the previous studies, which ranged between 82% and 91% [15,16]. Lung cancer has a high potential for turning into metastasis, and the skeletal system is frequently affected [16].…”

Section: Discussionsupporting

confidence: 90%

“…Lung cancer has a high potential for turning into metastasis, and the skeletal system is frequently affected [16]. The LC diagnosis normally occurs in stages in which the disease has already progressed locally or systemically because the symptoms in the early stages of the disease are not common [4].…”

Section: Discussionmentioning

confidence: 99%

“…In Brazil, according to the Ministry of Health estimates for 2014, 16,400 new cases in men and 10,930 new cases in women are expected, representing crude incidence rates of 16.79 and 10.75 per 100 thousand, respectively [3].…”

Section: Introductionmentioning

confidence: 99%

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Incidence, associated factors, and survival in metastatic spinal cord compression secondary to lung cancer

2015

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

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Incidence, associated factors, and survival in metastatic spinal cord compression secondary to lung cancer

2015

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“…Our rate of common SREs was compatible with the literature [17,20]. In another prospective study for 250 patients with bone metastasis, 120 of whom had NSCLC, radiation to bone in 32 %, pathological fracture in 21 %, surgery to bone in 4 %, spinal cord compression in 4 %, and hypercalcemia in 3 % of patients who were mostly found as SREs [7].…”

Section: Discussionsupporting

confidence: 89%

Risk factors for skeletal-related events (SREs) and factors affecting SRE-free survival for nonsmall cell lung cancer patients with bone metastases

et al. 2015

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Skeletal-related events (SREs) for nonsmall cell lung cancer (NSCLC) patients with bone metastasis lead to serious morbidity. The aim of this study was to determine risk factors for SREs in NSCLC patients with bone metastasis and the factors influencing SRE-free survival and overall survival (OS). From 2000 to 2012, we evaluated retrospectively 835 NSCLC patients. Three hundred and thirty-five of them with bone metastasis were included in the study. SREs and the other prognostic factors were evaluated by univariate and multivariate analysis for SRE-free survival and OS. SREs were detected in 244 patients (72.8 %). The most common SREs were the need for radiotherapy (43.2 %) and malignant hypercalcemia (17.6 %). The median time to first SRE was 3.5 months at the median follow-up of 17 months. A multivariate analysis showed that the presence of bone metastasis at diagnosis (p < 0.001), the number of bone metastasis (p = 0.001), baseline hypercalcemia (p = 0.004), and the presence of palliative radiotherapy (p = 0.04) were independent prognostic factors for SRE-free survival. A logistic regression analysis identified that the presence of bone metastasis at diagnosis [odds ratio (OR), 12.6], number of bone metastasis (OR, 3.05), and baseline hypercalcemia (OR, 0.33) were found to be predictive factors in the developing of SRE. The median OS time for patients with SRE was worse than that for patients without SRE (7 vs 12 months, respectively). For OS, male gender, ECOG performance status (PS), high lactate dehydrogenase (LDH) level, hypoalbuminemia, the presence of bone metastasis at diagnosis, the number of bone metastasis, the presence of SREs, the presence of bisphosphonate therapy, and palliative radiotherapy were independent prognostic indicators for OS by the multivariate analysis. Our results indicated that the frequency of SREs was high and the presence of bone metastasis at the time of diagnosis, baseline hypercalcemia, and multiple bone metastases were significant factors predicting the occurrence of SREs. If bone metastases diagnose earlier, treatments for the prevention of SREs may be initiated earlier; thus, the deterioration of quality of life may be preserved.

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“…Studies using healthcare claims employ various claims-based algorithms to identify radiation to the bone and mostly condition on prior claims with a bone metastasis diagnosis (billing) code [47,44,31]. They developed three classification algorithms that were compared using CoCo and EventFlow to investigate the timing of possible radiation to the bone among patients diagnosed with incident metastatic and nonmetastatic prostate cancer.…”

Section: On-going Case Study: Comparing Algorithms For Distinguishingmentioning

confidence: 99%

Cohort Comparison of Event Sequences with Balanced Integration of Visual Analytics and Statistics

Malik

Monroe

et al. 2015

Proceedings of the 20th International Conference on Intelligent User Interfaces

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Finding the differences and similarities between two datasets is a common analytics task. With temporal event sequence data, this task is complex because of the many ways single events and event sequences can differ between the two datasets (or cohorts) of records: the structure of the event sequences (e.g., event order, co-occurring events, or event frequencies), the attributes of events and records (e.g., patient gender), or metrics about the timestamps themselves (e.g., event duration). In exploratory analyses, running statistical tests to cover all cases is time-consuming and determining which results are significant becomes cumbersome. Current analytics tools for comparing groups of event sequences emphasize a purely statistical or purely visual approach for comparison. This paper presents a taxonomy of metrics for comparing cohorts of temporal event sequences, showing that the problem-space is bounded. We also present a visual analytics tool, CoCo (for "Cohort Comparison"), which implements balanced integration of automated statistics with an intelligent user interface to guide users to significant, distinguishing features between the cohorts. Lastly, we describe two early case studies: the first with a research team studying medical team performance in the emergency department and the second with pharmacy researchers.

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Mortality following bone metastasis and skeletal-related events among patients 65 years and above with lung cancer: A population-based analysis of U.S. Medicare beneficiaries, 1999-2006

Cited by 39 publications

References 24 publications

Incidence, associated factors, and survival in metastatic spinal cord compression secondary to lung cancer

Incidence, associated factors, and survival in metastatic spinal cord compression secondary to lung cancer

Risk factors for skeletal-related events (SREs) and factors affecting SRE-free survival for nonsmall cell lung cancer patients with bone metastases

Cohort Comparison of Event Sequences with Balanced Integration of Visual Analytics and Statistics

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