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Disparities in Treatment of Patients with Inoperable Stage I Non–Small Cell Lung Cancer: A Population-Based Analysis

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Journal of Thoracic Oncology ®  •  Volume 10, Number 2, February 2015 Background: Patients unable to receive surgery for stage I non-small

cell lung cancer (NSCLC) can undergo conventional radiotherapy (ConvRT), stereotactic body radiotherapy (SBRT), or no treatment (NoTx). This study assessed patterns of care and disparities in the receipt of each of these treatments.

Methods: The study included patients in the National Cancer Database from 2003 to 2011 with T1-T2N0M0 inoperable lung can-cer (n = 39,822). Logistic regressions were performed to determine predictors of receiving any radiation versus NoTx and for receiving SBRT versus ConvRT.

Results: Treatment with radiation was significantly less likely in blacks (odds ratio, OR 0.65) and Hispanics (OR 0.42) compared with whites. Treatment with SBRT versus ConvRT was more likely in an academic research program (OR 2.62) and a high-volume facility (OR 7.00) compared with community cancer programs or low-vol-ume facilities. In 2011, use of SBRT, ConvRT, and NoTx was 25%, 28%, and 46% for patients in a community cancer center versus 68%, 11%, and 21%, respectively, in an academic center (p < 0.0001). Conclusion: There were marked institutional and socioeconomic variations in the treatment of inoperable stage I NSCLC. These results suggest that removal of barriers to receive radiation therapy and particularly improved access to SBRT may meaningfully improve survival in this disease.

Key Words: Stereotactic body radiotherapy, Lung cancer, Stage I, Radiation.

(J Thorac Oncol. 2015;10: 264–271)

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lthough surgical resection has been the traditional stan-dard-of-care for curative therapy of stage I non-small cell lung cancer (NSCLC), a significant percentage of patients are

inoperable due to comorbid conditions.1 This population was

historically treated with conventionally fractionated radio-therapy (conventional radioradio-therapy, ConvRT), which necessi-tated daily treatment more than 6 to 8 weeks, and the survival outcomes were disappointing.2–5 In fact, the survival after

nonsurgical treatment was perceived to be so poor that some patients were observed without local therapy (no treatment, NoTx) under the assumption that any small survival benefit from treatment would be largely mitigated by the patients’ competing risks of mortality.6, 7

Although inoperable stage I lung cancer is not an uncom-mon entity, there is relatively little information on patterns-of-care in its management. Smith et al. analyzed the treatment of inoperable stage I–II lung cancer in British Columbia, finding that only one-third of the patients were treated with curative radiotherapy.8 Similar data are relatively lacking in the United

States, which is important not only to appreciate the drivers of an observation approach but also to understand the diffusion and use of novel and improved treatment techniques.

Indeed, stereotactic body radiotherapy (SBRT) is a rela-tively new treatment modality that delivers precise, high-dose radiotherapy more than one to five fractions.9 Both

retrospec-tive and prospecretrospec-tive studies have shown high local control rates with this technique, results that compare favorably with the surgical literature. For example, RTOG 0236 was a pro-spective stage II study of SBRT for inoperable stage I lung cancer, and its publication in 2008 revealed a local control probability of 97.6% at 3 years. Previous work has also shown a survival advantage associated with the use of SBRT.10

In this study, we have used the National Cancer Database (NCDB) to characterize the treatment approaches in patients with inoperable stage I NSCLC diagnosed between 2003 and 2011. Our focus included analyzing the predictors of observa-tion versus active treatment and SBRT versus ConvRT, paying particular notice to treatment trends over time, socioeconomic disparities, and institutional characteristics.

METHODS Database

This study examined the NCDB, which is a hospital-based cancer registry that collects data from the American College of Surgeons–Commission on Cancer accredited facil-ities.11 The database is sponsored by the American College

of Surgeons and the American Cancer Society and includes approximately 70% of all malignant cancers diagnosed in the

DOI: 10.1097/JTO.0000000000000418

Copyright © 2014 by the International Association for the Study of Lung Cancer

ISSN: 1556-0864/15/1002-0264

Disparities in Treatment of Patients with Inoperable Stage I 

Non–Small Cell Lung Cancer: A Population-Based Analysis

Matthew Koshy, MD,*† Renuka Malik, MD,† Mike Spiotto, MD, PhD,*† Usama Mahmood, MD,‡

Ralph Weichselbaum, MD,*† and David Sher, MD, MPH§

*Department of Radiation Oncology, University of Illinois at Chicago,

Chicago, Illinois; †Department of Radiation and Cellular Oncology, The University of Chicago, Chicago, Illinois; ‡Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; and §Department of Radiation Oncology, Rush University Medical Center, Chicago, Illinois.

Disclosure: The authors declare no conflict of interest.

Address for correspondence: Matthew Koshy, MD, Department of Radiation and Cellular Oncology, University of Chicago, 5758 South Maryland Avenue, M/C 9006, Chicago, IL 60637. E-mail: mkoshy@radonc.uchi-cago.edu

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United States. The database contains information on patient demographics, primary tumor site, histology, site at diagnosis, insurance status, first course of treatment, and overall survival. The NCDB has established specific criteria to ensure that the data submitted meets certain quality benchmarks.

Data and Study Population

Eligible patients had histologically confirmed first pri-mary NSCLC and received all or part of their first course of treatment at Commission on Cancer–accredited facilities (if treated at all). In the database, there were 50,603 patients with stage I NSCLC treated from 2003 to 2011 who did not undergo surgery. Patients were stratified into three cohorts: SBRT, ConvRT to a minimum dose of 60 Gy, and no radia-tion therapy, the latter of whom did not receive any radiaradia-tion therapy and survived a minimum of 4 months. The 4-month survival criteria was implemented to exclude patients with such short survival that they would presumably been ineli-gible for any therapy.12 Patients not meeting the criteria for

one of these three cohorts were excluded from the analy-sis, including patients with no information on radiation technique. A total of 39,822 patients met these eligibility criteria.

Statistical Analysis

Candidate variables were grouped into four catego-ries: clinical (e.g., histology, T stage, age, Charlson–Deyo index), time, socioeconomic (e.g., race, insurance status), and institutional (treatment volume, facility type). Facility types were designated by the Commission on Cancer crite-ria and include: (1) community cancer programs, (2) com-prehensive community cancer programs, and (3) academic research programs. Community cancer programs treat between 100 and 500 cancer patients a year and have a full range of services for cancer. Comprehensive community cancer programs treat at least 500 cancer patients a year and offer the same range of services. Academic research pro-grams are affiliated with medical schools, have residency programs, and conduct ongoing cancer research. The treat-ment volume category was calculated by examining the overall total number of patients treated by each facility and dividing it into equal sized tertiles.13 Low, medium, and

high volume facilities treated a total of 1 to 12, 13 to 35, and 36 to 279 patients, respectively. The follow-up time was defined as the time from diagnosis to date of death from any cause or from diagnosis to date of last contact for those who were alive at last contact.

Differences in treatment (NoTx vs. ConvRT vs. SBRT) by clinical, socioeconomic, and institutional characteristics were estimated using the chi-squared test. We also deter-mined predictors of treatment with SBRT versus ConvRT among patients who received some modality of radiotherapy. Multivariable stepwise logistic regressions were performed to determine independent predictors of any treatment (ConvRT or SBRT) versus no treatment and independent predictors of SBRT among patients treated with radiotherapy. Data were analyzed using SAS version 9.3, JMP version 10 (SAS Institute, Cary, NC) and SPSS v21 (IBM, Armonk, NY).

RESULTS Patient Characteristics

A total of 39,822 patients were diagnosed with clini-cal stage I NSCLC from 2003 to 2011 and met the eligibil-ity criteria for this study. Of this group, 27% (n = 10,687) of the patients underwent SBRT, 30% (n = 12,163) received daily fractionated ConvRT, and 43% (n = 16,972) underwent no radiation therapy. Patient characteristics are shown in Table 1. Of note, 8.1% of the 18 to 59 years of age cohort were not insured compared with 0.7% of the rest of the cohort (p < 0.001). Also, throughout the time period there were differences in where patients received treatment with 13.1%, 64.7%, and 22.2% being treated at community can-cer programs, comprehensive community cancan-cer programs, and academic research programs, respectively, in 2003. This changed to 8.7%, 58.4%, and 32.9% being treated at com-munity cancer programs, comprehensive comcom-munity cancer programs, and academic research programs, respectively, in 2011 (p < 0.0001).

Among the cohort, 3% received SBRT from 2003 to 2005 and 44% received SBRT from 2009 to 2011. The per-centage of patients who did not receive radiation therapy treated from 2003 to 2005 versus 2009 to 2011 dropped from 55% to 35%, and a similar decrease was seen in the percent-age of patients treated with ConvRT, which went from 42% to 21% over that period (Fig. 1).

Predictors of Receiving Any Radiation Therapy The likelihood of undergoing radiation therapy (either SBRT or ConvRT) versus no radiation therapy is shown in Table 2. Older patients and individuals with T1 stage were more likely to undergo treatment. There was a significant increase in active treatment over the time period of the study. Indicators of less privileged socioeconomic status were strongly related to the probability of receiving treatment: it was less likely in blacks (odds ratio, OR, 0.64) and Hispanics (OR 0.42), and uninsured patients were markedly less likely to undergo treatment. Institutional characteristics also influ-enced treatment choice, as patients treated at academic and high-volume institutions were significantly more likely to receive treatment. Figure 2 shows the proportion of patients treated with SBRT, ConvRT, and NoTx by institution type and year. In 2011, use of SBRT, ConvRT, and NoTx was 25%, 28%, and 46% for patients in a community cancer center ver-sus 68%, 11%, and 21%, respectively, in an academic center (p < 0.0001).

Radiotherapy Technique

Predictors of treatment with SBRT versus conventional radiation therapy among patients who received treatment are shown in Table 3. The multivariable analysis echoes the prior model analyzing predictors of any treatment. In particular, black race was significantly associated with a lower prob-ability of receiving SBRT (OR 0.7). Treatment at academic research programs and high treatment volume facilities were associated with a higher likelihood of receiving SBRT (OR 2.67 and 6.6, respectively).

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TABLE 1.  Patient Characteristics Among Clinical Stage I Inoperable NSCLC Patients, National Cancer Database 2003 to 2011

Categories All Patients (n = 39,822) No Radiation Therapy (n = 16,972) Radiation Therapy

a (n = 22,850) p Value Conventional Radiation Therapy (n = 12,163) Stereotactic Body Radiation Therapy (n = 10,687) p Value Clinical factors Gender 0.895 <0.0001 Male 49.0% 42.6% 57.4% 55.8% 44.2% Female 51.0% 42.7% 57.3% 50.8% 49.2% Comorbidity index 0.025 <0.0001 0 59.7% 43.2% 56.8% 52.0% 48.0% 1 26.2% 41.8% 58.2% 54.9% 45.1% 2+ 14.1% 41.9% 58.1% 55.2% 44.8% T stage <0.0001 <0.0001 T1 61.4% 39.7% 60.3% 45.3% 54.7% T2 38.6% 47.3% 52.7% 67.8% 32.2% Age at diagnosis <0.0001 <0.0001 18–59 8.1% 55.5% 44.5% 57.4% 42.6% 60–69 22.4% 42.7% 57.3% 54.6% 45.4% 70–79 39.1% 40.2% 59.8% 53.8% 46.2% 80+ 30.4% 42.2% 57.8% 50.7% 49.3% Histology <0.0001 <0.0001 Adenocarcinoma 42.1% 46.2% 53.8% 46.3% 53.7% NSCLC (not otherwise specified) 22.2% 41.7% 58.3% 58.5% 41.5% Squamous 33.4% 38.3% 61.7% 56.8% 43.2% Large cell 2.4% 49.0% 51.0% 66.3% 33.8% Socioeconomic factors Race/ethnicity <0.0001 <0.0001 White 85.8% 40.9% 59.1% 52.7% 47.3% Black 9.7% 51.9% 48.1% 59.4% 40.6% Others 2.5% 51.4% 48.6% 51.7% 48.3% Hispanic 2.0% 62.8% 37.2% 54.2% 45.8% Insurance status <0.0001 <0.0001 Not insured 1.3% 64.8% 35.2% 69.4% 30.6% Private insurance/ managed care 15.7% 48.7% 51.3% 54.1% 45.9% Medicaid 3.6% 52.0% 48.0% 59.2% 40.8% Medicare 77.6% 41.0% 59.0% 52.7% 47.3% Other government 1.8% 22.0% 78.0% 52.1% 47.9% Institutional factors Facility type <0.0001 <0.0001 Community cancer program 11.4% 56.9% 43.1% 84.0% 16.0% Comprehensive community cancer program 60.4% 43.8% 56.2% 55.9% 44.1% Academic research program 28.1% 34.3% 65.7% 40.2% 59.8% Facility volume <0.0001 <0.0001 Low 33.5% 55.3% 44.7% 77.5% 22.5% Medium 33.2% 43.2% 56.8% 59.7% 40.3% High 33.3% 29.3% 70.7% 32.6% 67.4% Year of diagnosis <0.0001 <0.0001 2003–2005 23.9% 54.6% 45.4% 92.5% 7.5% 2006–2008 32.6% 44.2% 55.8% 61.8% 38.2% 2009–2011 43.5% 34.9% 65.1% 32.7% 67.3%

aRadiation treatment cohort includes any patients who received conventional or stereotactic body radiotherapy.

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DISCUSSION

This study has revealed a substantial shift in the pat-terns of treatment for inoperable stage I NSCLC. There has been a dramatic reduction in the number of patients who were observed without active treatment, and a parallel marked increase in the use of SBRT.

Historically, patients who were ineligible to undergo surgical resection would be required to visit a radiation ther-apy clinic daily for several weeks to receive conventional radi-ation therapy. Thus one explanradi-ation for our results is that the time and effort associated with conventional radiation therapy may have been a significant barrier to receiving treatment, as the falling rates of observation were countered by the rising prevalence of SBRT. A complementary explanation is that the presumptive higher success of SBRT supported the decision for compromised individuals to attempt curative treatment, despite some baseline risk of increasing pulmonary morbidity from treatment. A recent phase II study randomized patients between ConvRT and SBRT. The study found no significant difference in overall survival in patients who received SBRT versus ConvRT (41.3 months vs. 42.1 months, respectively). It concluded that SBRT should be considered as a standard treatment for early stage inoperable lung cancer due to less toxicity and patient convenience with less treatment visits and

improved cost-effectiveness compared with ConvRT.14 There

are cancer programs where due to financial restrictions or lack of expertise it may be difficult to implement a stereotactic pro-gram. In this setting, it may be appropriate to use standard 3D conformal radiotherapy techniques with a hypofraction-ated approach which has also been associhypofraction-ated with excellent outcomes and requires less treatment visits compared with the standard conventional approach (30+ treatment visits).15

We found substantial variations in the likelihood of receiv-ing any curative treatment and the probability of receivreceiv-ing SBRT among individuals who were irradiated. As shown, a significantly higher proportion of patients were diagnosed and treated at aca-demic research programs in the later years which may explain the higher proportion of patients receiving SBRT in later years, as academic centers may have been early adopters of this new technology. Also, black patients and uninsured patients were dramatically less likely to undergo treatment for their early stage inoperable lung cancer. This is consistent with previous research which has shown black cancer patients are less likely receive sur-gery or chemotherapy compared to white cancer patients.16–18 In

patients who did undergo therapy, black patients and individuals with no insurance were also less likely to receive SBRT. Further efforts are needed to better understand and decrease these dis-parities, whose genesis is likely multifactorial.19

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TABLE 2.  Likelihood of Receiving Radiation Therapya Among Clinical Stage I Inoperable NSCLC Patients, National Cancer 

Database 2003–2011 (n = 39,822)

Categories Odds Ratio 95% (Confidence Limits) p Value

Clinical factors Gender Male 1.0 (ref) 0.75 Female 1.00 0.97 - 1.06 Comorbidity index 0 1.0 (ref) 0.50 1 1.03 0.98–1.08 2+ 1.01 0.95–1.07 T stage T1 1.0 (ref) <0.0001 T2 0.83 0.79–0.86 Age at diagnosis <0.0001 18–59 1.0 (ref) 60–69 1.41 1.29–1.55 70–79 1.49 1.36–1.63 80+ 1.39 1.26–1.51 Histology Adenocarcinoma 1.0 (ref) <0.0001 NSCLC (not otherwise specified) 1.42 1.35–1.50

Squamous 1.50 1.43–1.58 Large cell 1.1 0.96–1.27 Socioeconomic factors Race/ethnicity White 1.0 (ref) <0.0001 Black 0.64 0.60–0.69 Others 0.68 0.59–0.77 Hispanic 0.42 0.36–0.49 Insurance status

Not insured 1.0 (ref) <0.0001

Private insurance/managed care 1.64 1.34–1.99

Medicaid 1.69 1.36–2.09

Medicare 2.02 1.67–2.46

Other government 4.49 3.44–5.84 Institutional factors

Facility type

Community cancer program 1.0 (ref) <0.0001 Comprehensive community

cancer program

1.11 1.03–1.19 Academic research program 1.46 1.35–1.59 Facility volume Low 1.0 (ref) Medium 1.48 1.40–1.57 <0.0001 High 2.55 2.40–2.70 Year of diagnosis 2003–2005 1.0 (ref) <0.0001 2006–2008 1.44 1.37–1.53 2009–2011 2.10 1.99–2.21

aRadiation treatment cohort includes any patients who received conventional or stereotactic body radiotherapy.

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Patients who were aged 18 to 59 years were less likely to receive treatment of SBRT compared with older patients. As Medicare provides all Americans above the age 65 years with health insurance, the age disparity could partially be

explained by the higher proportion of uninsured patients seen in the younger cohort versus the rest of the cohort (8.5% vs. 0.7%). Younger age could also be a surrogate for worse access to appropriate medical care which would be independent of

TABLE 3.  Likelihood of Receiving Stereotactic Body Radiotherapy versus Conventional Radiation Therapy among Clinical Stage  I Inoperable NSCLC Patients, National Cancer Database 2003–2011 (n = 22,850)

Categories Odds Ratio 95% (Confidence Limits) p Value

Clinical factors Gender Male 1.0 (ref) <0.0001 Female 1.17 1.09–1.25 Comorbidity index 0 1.0 (ref) <0.0001 1 0.84 0.78–0.91 2+ 0.86 0.78–0.94 T stage T1 1.0 (ref) <0.0001 T2 0.46 0.43–0.50 Age at diagnosis <0.0001 18–59 1.0 (ref) 60–69 1.03 0.88–1.20 70–79 1.10 0.95–1.29 80+ 1.25 1.07–1.47 Histology Adenocarcinoma 1.0 (ref) <0.0001 NSCLC (not otherwise specified) 0.93 0.85–1.02

Squamous 0.76 0.70–0.82 Large cell 0.74 0.58–0.94 Socioeconomic factors Race/ethnicity White 1.0 (ref) <0.0001 Black 0.71 0.63–0.80 Others 1.07 0.85–1.34 Hispanic 0.92 0.69–1.22 Insurance status

Not insured 1.0 (ref) 0.001

Private insurance/managed care 1.99 1.34–2.96

Medicaid 1.65 1.08–2.52

Medicare 2.07 1.40–3.05

Other government 1.72 1.12–2.67 Institutional factors

Facility type

Community cancer program 1.0 (ref) <0.0001 Comprehensive community cancer program 1.68 1.45–1.95

Academic research program 2.67 2.28–3.13 Facility volume Low 1.0 (ref) Medium 1.89 1.72–2.07 <0.0001 High 6.62 6.02–7.28 Year of diagnosis 2003–2005 1.0 (ref) <0.0001 2006–2008 7.76 6.81–8.84 2009–2011 30.33 26.65–34.51

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insurance status, and this could explain why younger patients were less likely to receive any treatment or treatment with SBRT. Health policy initiatives such as the Affordable Care Act in the United States which aims to decrease the number of nonelderly uninsured patients may help alleviate this issue, and their impact on reducing cancer disparities should be the subject of future studies.

We also saw significant differences in treatment approach among institutions, as academic centers and high-volume hos-pitals were significantly more likely to deliver both any treat-ment and SBRT over conventional radiotherapy. Institutional characteristics have previously been shown to influence treat-ment paradigm for stage IIIA NSCLC, and the present findings confirm the importance of institutional characteristics in treat-ment recommendations.20, 21 These findings may be attributable

to these centers having a higher proportion of multi-disciplin-ary clinics, tumor boards, and navigation programs which all facilitate improved access to care.22 It is critical to understand

the explanation for these differences and determine whether these differences reflect underlying (and uncontrolled within this analysis) differences in patient demographics, treatment recommendation biases, and/or technology gaps.

This study does have limitations implicit in large retro-spective database analyses including institution reporting bias. Also, the NCDB does not record several important variables, such as Karnofsky performance status, weight loss, or tumor location (central vs. peripheral) which may have affected the treatment received. Another limitation of the study is that sur-vival information was unavailable for the entire time period in this study, and therefore these results cannot be linked to survival outcomes.

In conclusion, we have shown variable diffusion of a new treatment technique (SBRT) among the general popula-tion, and we should consider mechanisms to improve access to SBRT.23 For example, all patients with early-stage lung cancer

who are ineligible to undergo surgery should be evaluated by a radiation oncologist before excluding curative radiotherapy. Similarly, there should be a focus on education and training of radiation oncologists in stereotactic techniques, improving access to facilities that offer SBRT, and cancer accreditation bodies requiring facilities to offer SBRT as a treatment modal-ity. Based on our data, such relatively straightforward efforts may lead to meaningful improvements in survival in this chal-lenging patient demographic.

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with stage I non-small-cell lung cancer: a population-based time-trend analysis. J Clin Oncol 2010;28:5153–5159.

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17. Lathan CS, Neville BA, Earle CC. The effect of race on invasive staging and surgery in non-small-cell lung cancer. J Clin Oncol 2006;24:413–418. 18. Bach PB, Cramer LD, Warren JL, Begg CB. Racial differences in the

treatment of early-stage lung cancer. N Engl J Med 1999;341:1198–1205. 19. Tehranifar P, Neugut AI, Phelan JC, et al. Medical advances and racial/ ethnic disparities in cancer survival. Cancer Epidemiol Biomarkers Prev 2009;18:2701–2708.

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