Choosing Wisely at the End of Life: Use of Shorter Courses of Palliative Radiation Therapy for Bone Metastasis

Development and validation of a nomogram for predicting the overall survival in non-small cell lung cancer patients with liver metastasis

Background

Among all metastatic lesions in non-small cell lung cancer (NSCLC), liver metastasis (LM) is the most lethal site with a median survival of less than 5 months. Few studies exclusively report on prognostic factors for these unique patients. We aimed to construct and validate a practical model to predict the prognosis of NSCLC patients with LM.

Methods

Cases of NSCLC with LM diagnosed between 2010 and 2015 were collected from the Surveillance, Epidemiology, and End Results (SEER) database, and were randomly split into training and validation cohort (7:3). The overall survival (OS) was measured from diagnosis until date of death or last follow-up. Cox regression analyses were performed to identify potential predictors of the model. A nomogram incorporating those independent factors was constructed and validated by the concordance index (C-index) and calibration plots. The decision curve analysis (DCA) and a risk stratification system were used to evaluate its clinical value.

Results

A total of 2,367 cases were selected for analysis and randomized to the training cohort (n=1,677) and the validation cohort (n=690). The patients were mainly male (59.3%), married (83.1%) and White (77.3%). Apart from LM, 54.2%, 26.7%, and 36.7% of patients also present with bone, brain, and lung metastases, respectively. The median follow-up was 4.0 months for all patients and 23 months for alive cases. The median OS was 5 months [interquartile range (IQR), 2-11 months]. Sex, age, race, grade, T stage, bone metastasis, brain metastasis, surgery, and chemotherapy were identified as the independent risk factors of the OS and used to develop the nomogram. The calibration curves exhibited excellent agreement between the predicted and actual survival in both the training and validation set, with a C-index of 0.700 [95% confidence interval (CI): 0.684-0.716] and 0.677 (95% CI: 0.653-0.701), respectively. The DCA and the risk classification system further supported that the prediction model was clinically effective.

Conclusions

This is the first study to build a prediction model for NSCLC patients with LM. It aids in treatment decisions, focused care, and physician-patient communication. The global prospective data is needed to further improve this model.

Nomograms predict survival benefits of radical prostatectomy and chemotherapy for prostate cancer with bone metastases: A SEER-based study

Purpose

This study aimed to identify independent prognosis-associated factors of bone-metastatic prostate cancer. The nomograms were further developed to obtain indicators for the prognostic evaluation.

Methods

A total of 7315 bone-metastatic prostate cancer (PCa) patients from 2010 to 2016 were retrospectively collected from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were randomly divided into the training cohort (n=5,120) and test cohort (n=2,195) in a ratio of 7:3. Univariate and multivariate Cox regression models were applied to evaluate potential risk factors. A 1:1 propensity score matching (PSM) was further performed to decrease the confounding effect and re-evaluate the influence of radical prostatectomy and chemotherapy on prognosis. Combining these potential prognosis factors, the nomograms of cancer-specific survival (CSS) and overall survival (OS) at different times were established. C-indexes, calibration curves, and decision curves were developed to evaluate the discrimination, calibration, and clinical benefit of the nomograms.

Results

Eleven independent prognosis factors for CSS and twelve for OS were utilized to conduct the nomograms respectively. The C-indexes of nomograms for CSS and OS were 0.712 and 0.702, respectively. A favorable consistency between the predicted and actual survival probabilities was demonstrated by adopting calibration curves. Decision curves also exhibited a positive clinical benefit of the nomograms.

Conclusions

Nomograms were formulated successfully to predict 3-year and 5-year CSS and OS for bone-metastatic PCa patients. Radical prostatectomy and chemotherapy were strongly associated with the bone-metastatic PCa prognosis.

Survival benefit of resection surgery for lung adenocarcinoma with bone metastases and a post-operative prognosis nomogram establishment and validation

Background

Surgical resection is not usually recommended for lung adenocarcinoma (LUAD) patients with bone metastases. However, the criteria for surgery are constantly being adjusted and there is a need to focus on the prognostic role of cancer-directed surgery (CDS) for bone metastatic LUAD patients investigate the factors influencing survival of CDS. We determined the survival benefit of CDS for LUAD patients with bone metastases and to develop a prognostic nomogram to predict overall survival (OS) for patients after surgery.

Methods

LUAD patients with bone metastases from the Surveillance, Epidemiology, and End Results (SEER) database between 2010-2015 were included and divided into CDS and non-CDS groups. The propensity score matching (PSM) was used to balance baseline characteristics. We used Kaplan-Meier curves and log-rank tests to compare cancer-specific survival (CSS) and OS between the two groups. Patients underwent CDS were randomly divided into training and validation cohorts to develop and validate a nomogram model to predict postoperative prognosis outcome-OS.

Results

Patients who underwent CDS had a better OS and CSS than those who did not underwent CDS (e.g., 1-year OS rate: 56.9% vs. 30.1%). Independent prognostic factors were selected by Cox regression analysis for CDS patients including age, sex, race, histological grade, N stage, and chemotherapy, and a nomogram was constructed to predict 1-, 2-, and 3-year OS after surgery according to the prognostic factors. The calibration curve and receiver operating characteristic (ROC) curve for the nomogram showed the model had a high predictive accuracy. [Area under the curve (AUC) at 1, 2, and 3 years in the training cohort were 0.735, 0.756 and 0.782, and in the validation cohort were 0.703, 0.758 and 0.836, respectively]. In addition, patients were divided into high-risk and low-risk groups based on prognostic scores, and Kaplan-Meier curves showed significant differences in prognosis between the two groups.

Conclusions

These results indicated that patients with bone metastasis of LUAD received survival benefit from CDS. The prognostic nomograms could assist clinicians in specifying individualized assessments, but further research is needed.

Listening to the Patient Voice Adds Value to Cancer Clinical Trials

Randomized clinical trials are critical for evaluating the safety and efficacy of interventions in oncology and informing regulatory decisions, practice guidelines, and health policy. Patient-reported outcomes (PROs) are increasingly used in randomized trials to reflect the impact of receiving cancer therapies from the patient perspective and can inform evaluations of interventions by providing evidence that cannot be obtained or deduced from clinicians' reports or from other biomedical measures. This commentary focuses on how PROs add value to clinical trials by representing the patient voice. We employed 2 previously published descriptive frameworks (addressing how PROs are used in clinical trials and how PROs have an impact, respectively) and selected 9 clinical trial publications that illustrate the value of PROs according to the framework categories. These include 3 trials where PROs were a primary trial endpoint, 3 trials where PROs as secondary endpoints supported the primary endpoint, and 3 trials where PROs as secondary endpoints contrast the primary endpoint findings in clinically important ways. The 9 examples illustrate that PROs add valuable data to the care and treatment context by informing future patients about how they may feel and function on different treatments and by providing clinicians with evidence to support changes to clinical practice and shared decision making. Beyond the patient and clinician, PROs can enable administrators to consider the cost-effectiveness of implementing new interventions and contribute vital information to policy makers, health technology assessors, and regulators. These examples provide a strong case for the wider implementation of PROs in cancer trials.

Development and validation of a prognostic nomogram for bone metastasis from lung cancer: A large population-based study

Background

Bone is one of the most common metastatic sites of advanced lung cancer, and the median survival time is significantly shorter than that of patients without metastasis. This study aimed to identify prognostic factors associated with survival and construct a practical nomogram to predict overall survival (OS) in lung cancer patients with bone metastasis (BM).

Methods

We extracted the patients with BM from lung cancer between 2011 and 2015 from the Surveillance, Epidemiology, and End Result (SEER) database. Univariate and multivariate Cox regressions were performed to identify independent prognostic factors for OS. The variables screened by multivariate Cox regression analysis were used to construct the prognostic nomogram. The performance of the nomogram was assessed by receiver operating characteristic (ROC) curve, concordance index (C-index), and calibration curves, and decision curve analysis (DCA) was used to assess its clinical applicability.

Results

A total of 7861 patients were included in this study and were randomly divided into training (n=5505) and validation (n=2356) cohorts using R software in a ratio of 7:3. Cox regression analysis showed that age, sex, race, grade, tumor size, histological type, T stage, N stage, surgery, brain metastasis, liver metastasis, chemotherapy and radiotherapy were independent prognostic factors for OS. The C-index was 0.723 (95% CI: 0.697-0.749) in the training cohorts and 0.738 (95% CI: 0.698-0.778) in the validation cohorts. The AUC of both the training cohorts and the validation cohorts at 3-month (0.842 vs 0.859), 6-month (0.793 vs 0.814), and 1-year (0.776 vs 0.788) showed good predictive performance, and the calibration curves also demonstrated the reliability and stability of the model.

Conclusions

The nomogram associated with the prognosis of BM from lung cancer was a reliable and practical tool, which could provide risk assessment and clinical decision-making for individualized treatment of patients.

Metastatic bone cancer: Consideration for optimal dose fractionation in radiation therapy

The bones are one of the most common sites for metastatic cancer spread. Unfortunately, there is no current known cure for many people affected by bone metastasis. Therefore, the treatment intent for radiotherapy remains a palliative objective, whereby treatments are meant to provide pain relief and alleviate symptoms. However, some debate has arisen in recent decades regarding the most appropriate dose prescription pertaining to dose protraction and fractionation. By delivering a larger dose in fewer fractions, patients can spend less time at the hospital and more time with loved ones. Additionally, many dose prescriptions were prioritized to be shortened during the COVID-19 pandemic, which may offer retrospective data on the treatment outcomes from providing shortened courses of radiotherapy.

Distant metastasis and prognostic factors in patients with invasive ductal carcinoma of the breast

OBJECTIVE

To explore the risk factors and prognostic factors of invasive ductal carcinoma (IDC) and to predict the survival of IDC patients with metastasis.

METHOD

We used multivariate logistic regression to identify independent risk factors affecting metastasis in IDC patients and used Cox regression to identify independent prognostic factors affecting the overall survival of patients with metastasis. Nomogram was used to predict survival, while C-index and calibration curves were used to measure the performance of nomogram. Kaplan-Meier method was used to calculate the survival curves of patients with different independent prognostics factors and different metastatic sites, and the differences were compared by log-rank test. The data of our study were obtained from the Surveillance, Epidemiology and End Results cancer registry.

RESULT

Our study included 226,094 patients with IDC. In multivariate analysis, independent risk factors of metastasis included age, race, marital status, income, geographic region, grade, T stage, N stage, subtype, surgery and radiotherapy. Independent prognostic factors included age, race, marital status, income, geographic region, grade, T stage, N stage, subtype, surgery and chemotherapy. We established a nomogram, of which the C-index was 0.701 (0.693, 0.709), with the calibration curves showing that the disease-specific survival between actual observation and prediction had a good consistency. The survival curves of different metastatic patterns were significantly different (log-rank test: χ²  = 18784, p < 0.001; χ²  = 47.1, p < 0.001; χ²  = 20, p < 0.001).

CONCLUSION

The nomogram we established may provide risk assessment and survival prediction for IDC patients with metastasis, which can be used for clinical decision-making and reference.

Association of the Oncology Care Model with Value-Based Changes in Use of Radiation Therapy

PURPOSE

Radiation utilization for breast cancer and metastatic bone disease varies in modality, fractionation and cost, despite evidence demonstrating equal effectiveness and consensus recommendations such as Choosing Wisely that advocate for higher value care. We assessed whether the Oncology Care Model (OCM), an alternative payment model for practices providing chemotherapy to patients with cancer, impacted the overall use and value of radiation therapy in terms of Choosing Wisely recommendations.

METHODS AND MATERIALS

We used CMS administrative data to identify beneficiaries enrolled in traditional fee-for-service Medicare who initiated chemotherapy episodes at OCM and propensity-matched comparison practices. Difference-in-difference (DID) analyses evaluated the effect of OCM on overall use of post-operative radiation for breast cancer, use of intensity-modulated radiation therapy (IMRT) and hypofractionation for breast cancer, and fractionation patterns for treatment of metastatic bone disease from breast or prostate cancer. We performed additional analyses stratified by the presence or absence of a radiation oncologist in the practice.

RESULTS

Among 27,859 post-operative breast cancer episodes, OCM had no effect on overall use of radiation therapy following breast surgery (DID percentage point difference=0.4%, 90%CI=-1.7%, 2.4%), or on use of IMRT in this setting (DID=-0.6, 90%CI=-3.1, 2.0). Among 19,366 metastatic bone disease episodes, OCM had no effect on fractionation patterns for palliation of bone metastases (DID for ≤10 fractions=-1.1%, 90%CI-2.6%, 0.4% and DID for single fraction=-0.2%, 90%CI=-1.9%, 1.6%). Results were similar for practices with and without a radiation oncologist. We did not evaluate the effect of OCM on hypofractionated radiation after breast-conserving surgery due to evidence of differential baseline trends.

CONCLUSIONS

OCM had no effect on use of radiation therapy after breast-conserving surgery for breast cancer, or fractionation patterns for metastatic bone disease. Future payment models directly focused on radiation oncology providers may be better poised to improve the value of radiation oncology care.

Retrospective analysis of characteristics associated with higher-value radiotherapy episodes of care for bone metastases in Medicare fee-for-service beneficiaries

OBJECTIVES

The Centers for Medicare & Medicaid Services' newly enacted Radiation Oncology Model ('RO Model') was designed to test the cost-saving potential of prospective episode-based payments for radiation treatment for 17 cancer diagnoses by encouraging high-value care and more efficient care delivery. For bone metastases, evidence supports the use of higher-value, shorter courses of radiation (≤10 fractions). Our goal was to determine the prevalence of short radiation courses (≤10 fractions) for bone metastases and the setting, treatment and patient characteristics associated with such courses and their expenditures.

DESIGN

Using the RO Model episode file, we evaluated receipt of ≤10 fractions of radiotherapy for bone metastases and expenditures by treatment setting for Medicare fee-for-service beneficiaries during calendar years 2015-2017.Using unadjusted and adjusted regression models, we determined predictors of receipt of ≤10 fractions and expenditures. Multivariable models adjusted for treatment and patient characteristics.

RESULTS

There were 48 810 episodes for bone metastases during the period. A majority of episodes for ≤10 fractions occurred in hospital-outpatient settings (62.8% (N=22 715)). After adjusting for treatment and patient factors, hospital-outpatient treatment setting remained a significant predictor of receiving ≤10 fractions (adjusted OR 2.03 (95% CI 1.95, 2.12; p<0.001) vs free-standing). The greatest adjusted contributors to total expenditures were number of fractions (US$-3424 (95% CI US$-3412 to US$-3435) for ≤10 fractions vs >10; p<0.001) and treatment type (including US$7716 (95% CI US$7424 to US$8018) for intensity modulated radiation therapy vs conventional external beam; p<0.001).

CONCLUSIONS

A measurable performance gap exists for delivery of higher-value bone metastases radiotherapy under an episode-based model, associated with increased expenditures. The RO Model may succeed in improving the value of bone metastases radiation. Increasing the capacity of free-standing centres to implement palliative-focused services may improve the ability of these practices to succeed under the RO Model.

Incidence, prognosis and nomograms of breast cancer with bone metastases at initial diagnosis: a large population-based study

BACKGROUND

Bone is the most common metastatic site for breast cancer, and patients' condition will deteriorate when it occurs.

METHODS

We performed a retrospective analysis on 6482 breast cancer patients with bone metastases (BCBM), who were selected from the Surveillance, Epidemiology, and End Result (SEER) 18 registry database. The optimal age cut-points were generated by using the X-tile software. By using Cox regression, we selected independent prognostic factors from 21 variables, and plotted a visual nomogram to predict the probability of surviving to the median survival time. We also diagrammed a competing risk nomogram on the basis of competitive risk model.

RESULTS

Compared with other three common metastatic sites, the incidence of bone metastasis was the highest for patients with breast cancer. The incidence of BCBM peaked around the age of 60, and a large majority of patients were between the ages of 50 and 70. The survival rate decreased with age, and the median survival time was about 19 months. Factors of age, race, marital status, grade, human epidermal growth factor receptor-2 (HER2) receptor, hormone receptor, concurrent brain metastasis, concurrent liver metastasis, concurrent lung metastasis, surgery and chemotherapy are strongly related to the prognosis of patients with BCBM. It was revealed that the C-index of the nomogram was 0.72 and the calibration curves showed good agreement between the nomogram prediction and actual observation.

CONCLUSION

Our practical nomograms provide a visual and user-friendly tool in the risk evaluation and prognostic prediction for breast cancer patients with bone metastases.

Early and Midtreatment Mortality in Palliative Radiotherapy: Emphasizing Patient Selection in High-Quality End-of-Life Care

BACKGROUND

Palliative radiotherapy (RT) is effective, but some patients die during treatment or too soon afterward to experience benefit. This study investigates end-of-life RT patterns to inform shared decision-making and facilitate treatment consistent with palliative goals.

MATERIALS AND METHODS

All patients who died ≤6 months after initiating palliative RT at an academic cancer center between 2015 and 2018 were identified. Associations with time-to-death, early mortality (≤30 days), and midtreatment mortality were analyzed.

RESULTS

In total, 1,620 patients died ≤6 months from palliative RT initiation, including 574 (34%) deaths at ≤30 days and 222 (14%) midtreatment. Median survival was 43 days from RT start (95% CI, 41-45) and varied by site (P<.001), ranging from 36 (head and neck) to 53 days (dermal/soft tissue). On multivariable analysis, earlier time-to-death was associated with osseous (hazard ratio [HR], 1.33; P<.001) and head and neck (HR, 1.45; P<.001) sites, multiple RT courses ≤6 months (HR, 1.65; P<.001), and multisite treatments (HR, 1.40; P=.008), whereas stereotactic technique (HR, 0.77; P<.001) and more recent treatment year (HR, 0.82; P<.001) were associated with longer survival. No difference in time to death was noted among patients prescribed conventional RT in 1 to 10 versus >10 fractions (median, 40 vs 47 days; P=.272), although the latter entailed longer courses. The 30-day mortality group included 335 (58%) inpatients, who were 27% more likely to die midtreatment (P=.031). On multivariable analysis, midtreatment mortality among these inpatients was associated with thoracic (odds ratio [OR], 2.95; P=.002) and central nervous system (CNS; OR, 2.44; P=.002) indications, >5-fraction courses (OR, 3.27; P<.001), and performance status of 3 to 4 (OR, 1.63; P=.050). Conversely, palliative/supportive care consultation was associated with decreased midtreatment mortality (OR, 0.60; P=.045).

CONCLUSIONS

Earlier referrals and hypofractionated courses (≤5-10 treatments) should be routinely considered for palliative RT indications, given the short life expectancies of patients at this stage in their disease course. Providers should exercise caution for emergent thoracic and CNS indications among inpatients with poor prognoses due to high midtreatment mortality.

Euthanasia in the Netherlands: a claims data cross-sectional study of geographical variation

BACKGROUND

The annual incidence of euthanasia in the Netherlands as a percentage of all deaths rose from 1.9% in 1990 to 4.4% in 2017. Scarce literature on regional patterns calls for more detailed insight into the geographical variation in euthanasia and its possible explanations.

OBJECTIVES

This paper (1) shows the geographical variation in the incidence of euthanasia over time (2013-2017); (2) identifies the associations with demographic, socioeconomic, preferential and health-related factors; and (3) shows the remaining variation after adjustment and discusses its meaning.

DESIGN, SETTING AND METHODS

This cross-sectional study used national claims data, covering all healthcare claims during 12 months preceding the death of Dutch insured inhabitants who died between 2013 and 2017. From these claims all euthanasia procedures by general practitioners were selected (85% of all euthanasia cases). Rates were calculated and compared at three levels: 90 regions, 388 municipalities and 196 districts in the three largest Dutch cities. Data on possibly associated variables were retrieved from national data sets. Negative binomial regression analysis was performed to identify factors associated with geographical variation in euthanasia.

RESULTS

There is considerable variation in euthanasia ratio. Throughout the years (2013-2017) the ratio in the three municipalities with the highest incidence was 25 times higher than in the three municipalities with the lowest incidence. Associated factors are age, church attendance, political orientation, income, self-experienced health and availability of voluntary workers. After adjustment for these characteristics a considerable amount of geographical variation remains (factor score of 7), which calls for further exploration.

CONCLUSION

The Netherlands, with 28 years of legal euthanasia, experiences large-scale unexplained geographical variation in the incidence of euthanasia. Other countries that have legalised physician-assisted dying or are in the process of doing so may encounter similar patterns. The unexplained part of the variation may include the possibility that part of the euthanasia practice may have to be understood in terms of underuse, overuse or misuse.

Trends in Radiation Therapy for Bone Metastases, 2015 to 2017: Choosing Wisely in the Era of Complex Radiation

PURPOSE

Guidelines recommend short-course (≤10 fractions) external-beam radiation therapy (EBRT) for bone metastases. Stereotactic body radiation therapy (SBRT) may also improve outcomes; however, routine use is not recommended outside clinical trials. We assessed national radiation therapy trends in complex techniques for bone metastases and associated expenditures.

METHODS AND MATERIALS

Using a claims-based Medicare data set covering 84% of beneficiaries, we assessed the relative proportion of all radiation episodes represented by bone metastases. We then evaluated use of short-course and long-course (>10 fractions) EBRT, intensity modulated radiation therapy (IMRT), and SBRT for bone metastases in hospital-affiliated outpatient (OPD) or freestanding (FREE) facilities. We assessed differences using χ²d or Wilcoxon rank sum tests for categorical and continuous variables, respectively. We identified associations with modality, fractionation, and expenditures using multivariable logistic/linear regression.

RESULTS

Among 467,781 radiation episodes for 17 cancer diagnoses, the overall proportion of episodes dedicated to bone metastases (9.4%) was stable from 2015 to 2017, although treatments were increasing in the hospital-affiliated outpatient setting (P < .005). We identified 40,993 episodes for bone metastases, of which 63% were short-course EBRT, 24% were long-course EBRT, 7% were SBRT, and 6% were IMRT. Techniques more common in the hospital-affiliated outpatient setting included short-course EBRT (OPD, 69%, vs FREE, 56%) and SBRT (OPD, 9%, vs FREE, 5%). Techniques more common among free-standing centers included long-course EBRT (OPD, 19%, vs FREE, 31%) and IMRT (OPD, 4%, vs FREE, 9%). From 2015 to 2017, long-course EBRT decreased by an absolute 8%; short-course EBRT, SBRT, and IMRT increased by 4%, 2.5%, and 1%, respectively. The SBRT/IMRT uptake did not differ by setting (P = .4). Differences in expenditures between SBRT and short-course EBRT decreased by a relative 8% in professional and 12% in technical fees.

CONCLUSIONS

Approximately 1 in 4 patients received long-course EBRT, with small reductions in use largely replaced by complex treatment modalities. However, expenditures for complex modalities also decreased over time. As alternative payment models take effect, quality metrics are needed to ensure appropriate, effective, and safe delivery of complex technologies.

A scoping review characterizing "Choosing Wisely®" recommendations for breast cancer management

PURPOSE

Choosing Wisely (CW)® was created by the American Board of Internal Medicine (ABIM) to promote patient-physician conversations about unnecessary medical interventions. Similarly, other countries created their own panels of experts called "CW® campaigns" which review recommendations submitted by that country's oncology societies. We performed a scoping review to consolidate CW® recommendations from different groups with respect to breast cancer care.

METHODS

A systematic search of Medline and Embase was designed by an information specialist for publications presenting CW® recommendations for breast cancer care practices from 2011-2020. We also reviewed the websites of all CW® campaigns and reference sections of each CW® recommendation. Two reviewers independently screened studies for inclusion and performed data extraction. Findings were summarized narratively.

RESULTS

Review of ABIM CW® recommendations showed 19 breast cancer-related recommendations pertaining to; screening (n = 4), radiological staging (n = 2), treatment (n = 10), surveillance (n = 2), and miscellaneous (genetic testing; n = 1). Of 22 countries with CW® campaigns, 10 published recommendations for breast cancer. Over half (57%) of recommendations were supported by more than one country. No recommendations were refuted between campaigns. Two campaigns developed 3 novel recommendations on new topics, including chemotherapy in ductal carcinoma in situ (Italy) and comparison of screening imaging modalities (Portugal).

CONCLUSIONS

CW® recommendations focus on reducing overutilization of investigations and treatments. There was a high rate of consensus between different CW® campaigns. As health care systems globally move attention to reduce low-value care, further studies are required to address adherence to these current recommendations and develop new recommendations.

Physician Practice Variability in the Use of Extended-Fraction Radiation Therapy for Bone Metastases: Are We Choosing Wisely?

PURPOSE:

Routine use of extended-fraction (> 10 fractions) radiation therapy (RT) for palliation of bone metastases is recognized as a low-value intervention by the American Society for Radiation Oncology. We examined contemporary practice patterns of, and physician characteristics associated with extended-fraction RT use.

MATERIALS AND METHODS:

We conducted a retrospective cohort study using Medicare fee-for-service data. We included patients who underwent 2- or 3-dimensional external-beam RT for bone metastases between January 1, 2016, and December 31, 2018. Physicians treating > 10 patients over the study period were analyzed for their individual practice. Hierarchic logistic regression modeling was used to identify patient- and physician-level factors associated with extended-fraction RT use.

RESULTS:

A total of 12,221 patients (median age, 75.6 years; 40.9% women, 87.6% white) were included. The rate of extended-fraction RT was 23.4%. A total of 1,432 physicians treated any patient. Among the 382 physicians treating > 10 patients, 127 (33.2%) used extended-fraction RT > 30% (consensus threshold). Physician factors associated with decreased odds of extended-fraction RT were years since medical school graduation (≤ 10 years and 11-20 years v ≥ 31 years: adjusted odds ratio [aOR], 0.32 [95% CI, 0.20 to 0.51] and 0.64 [95% CI, 0.44 to 0.93]) and practicing in the Northeast or Midwest versus the South (aOR, 0.36 [95% CI, 0.22 to 0.58] and 0.48 [95% CI, 0.31 to 0.74]). Physicians treating > 20 patients ( v 11-14 patients) over the study period had increased odds of delivering extended-fraction RT (aOR, 1.53 [95% CI, 1.10 to 2.12]).

CONCLUSION:

In this study, almost one fourth of patients received extended-fraction RT, and one third of physicians had an extended-fraction RT use rate of > 30%. Personalized feedback of performance data, clinical pathways and peer review, and updated reimbursement models are potential mechanisms to address this low-value care.

Incidence, prognostic factors, and a nomogram of lung cancer with bone metastasis at initial diagnosis: a population-based study

BACKGROUND

Bone is one of the common metastatic sites of lung cancer, and its prognosis is not optimistic. We performed a study to evaluate the incidence, survival, and prognostic factors of lung cancer with bone metastasis (LCBM) at initial diagnosis, and to develop a nomogram to predict its outcomes.

METHODS

We conducted a retrospective study choosing 13,541 patients with LCBM from the Surveillance, Epidemiology, and End Results (SEER) 18 registry database. An X-tile analysis provided the optimal age cutoff point. The incidence, overall survival, and prognosis of bone metastasis were evaluated according to the patient information, characteristics of the tumor, and therapy. We also used multivariable Cox regression to estimate mortality hazard ratios (HRs) among patients with LCBM, while a visual nomogram was established to judge the prognosis.

RESULTS

The incidence of disease increased with age, but survival rates show the opposite trend. The median survival time was about 4 months. In addition, although the differences for patient race is not significant (P=0.445), White patients are prone to have bone metastases from lung cancer according to the incidence analysis. The difference for laterality is also not significant (P=0.534), while the factors of age, gender, the total number of sites, histological types, grade, tumor size, and treatment are significantly related to the outcome of patients with LCBM. Furthermore, our nomogram could predict the probability of surviving to the median survival time of the population with a c-index of 0.72.

CONCLUSIONS

Age, characteristics of the tumor, and therapy should be considered for prediction of prognosis for patients with lung cancer bone metastasis. Putatively, the younger patients and the patients with chemotherapy and surgery may indicate improved survival.

Outcomes and Characteristics of Patients Treated with Emergent Palliative Radiation Therapy

PURPOSE

Emergent palliative radiation therapy (PRT) of symptomatic metastases can significantly increase the quality of life of patients with cancer. In some contexts, this treatment may be underused, but in others PRT may represent an excessively aggressive intervention. The characterization of the current use of emergent PRT is warranted for optimized value and patient-centered care.

METHODS AND MATERIALS

This study is a cross-sectional retrospective analysis of all emergent PRT courses at a single academic tertiary institution across 1 year.

RESULTS

A total of 214 patients received a total of 238 treatment courses. The most common indications were bone (39%) and brain (14%) metastases. Compared with outpatients, inpatients had lower mean survival rates (2 months vs 6 months; P < .001), higher rates of stopping treatment early (19.1% vs 9.0%; P = .034), and greater involvement of palliative care (44.8% vs 24.1%; P < .001), but the same mean planned fractions (9.10 vs 9.40 fractions; P = .669). In a multiple predictor survival analysis, palliative care involvement (P = .025), male sex (P = .001), ending treatment early (P = .011), and having 1 of 3 serious indications (airway compromise, leptomeningeal disease, and superior/inferior vena cava involvement; P = .007) were significantly associated with worse overall survival.

CONCLUSIONS

Survival is particularly poor in patients who receive emergent PRT, and patient characteristics such as functional status and indication should be considered when determining fractionation schedule and dosing. A multi-institutional study of practice patterns and outcomes is warranted.