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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2017.00185</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Propensity Score Matched Comparison of Intensity Modulated Radiation Therapy vs Stereotactic Body Radiation Therapy for Localized Prostate Cancer: A Survival Analysis from the National Cancer Database</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Ricco</surname> <given-names>Anthony</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Hanlon</surname> <given-names>Alexandra</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/409026"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Lanciano</surname> <given-names>Rachelle</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x0002A;</xref>
<uri xlink:href="http://frontiersin.org/people/u/46133"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Philadelphia Cyberknife</institution>, <addr-line>Havertown, PA</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Crozer Keystone Health Care System</institution>, <addr-line>Springfield, PA</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>University of Pennsylvania, School of Nursing</institution>, <addr-line>Philadelphia, PA</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Sean P. Collins, Georgetown University School of Medicine, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: John Austin Vargo, West Virginia University Hospitals, United States; Josephine Kang, Flushing Radiation Oncology Services, United States</p></fn>
<corresp content-type="corresp" id="cor1">&#x0002A;Correspondence: Rachelle Lanciano, <email>rlancmd&#x00040;gmail.com</email></corresp>
<fn fn-type="other" id="fn001"><p>Specialty section: This article was submitted to Radiation Oncology, a section of the journal Frontiers in Oncology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>31</day>
<month>08</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>7</volume>
<elocation-id>185</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>06</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>08</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Ricco, Hanlon and Lanciano.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Ricco, Hanlon and Lanciano</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract abstract-type="executive-summary">
<sec id="ST1">
<title>Purpose</title>
<p>No direct comparisons between extreme hypofractionation and conventional fractionation have been reported in randomized trials for the treatment of localized prostate cancer. The goal of this study is to use a propensity score matched (PSM) analysis with the National Cancer Database (NCDB) for the comparison of stereotactic body radiation therapy (SBRT) and intensity modulated radiation therapy (IMRT) for organ confined prostate cancer.</p>
</sec>
<sec id="ST2">
<title>Methods</title>
<p>Men with localized prostate cancer treated with radiation dose &#x02265;72&#x02009;Gy for IMRT and &#x02265;35&#x02009;Gy for SBRT to the prostate only were abstracted from the NCDB. Men treated with previous surgery, brachytherapy, or proton therapy were excluded. Matching was performed to eliminate confounding variables <italic>via</italic> PSM. Simple 1&#x02013;1 nearest neighbor matching resulted in a matched sample of 5,430 (2,715 in each group). Subset analyses of men with prostate-specific antigen (PSA)&#x02009;&#x0003E;&#x02009;10, GS&#x02009;&#x0003D;&#x02009;7, and GS&#x02009;&#x0003E;&#x02009;7 yielded matched samples of 1,020, 2,194, and 247, respectively.</p>
</sec>
<sec id="ST3">
<title>Results</title>
<p>No difference in survival was noted between IMRT and SBRT at 8&#x02009;years (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.65). Subset analyses of higher risk men with PSA&#x02009;&#x0003E;&#x02009;10 or GS&#x02009;&#x0003D;&#x02009;7 histology or GS&#x02009;&#x0003E;&#x02009;7 histology revealed no difference in survival between IMRT and SBRT (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.58, <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.68, and <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.62, respectively). Variables significant for survival for the matched group included: age (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.0001), primary payor (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0001), Charlson/Deyo Score (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0002), PSA (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0013), Gleason score (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.0001), and use of hormone therapy (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.02).</p>
</sec>
<sec id="ST4">
<title>Conclusion</title>
<p>Utilizing the NCDB, there is no difference in survival at 8&#x02009;years comparing IMRT to SBRT in the treatment of localized prostate cancer. Subset analysis confirmed no difference in survival even for intermediate- and high-risk patients based on Gleason Score and PSA.</p>
</sec>
</abstract>
<kwd-group>
<kwd>stereotactic body radiation therapy</kwd>
<kwd>intensity modulated radiation therapy</kwd>
<kwd>prostate cancer</kwd>
<kwd>National Cancer Database</kwd>
<kwd>overall survival</kwd>
</kwd-group>
<counts>
<fig-count count="8"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="31"/>
<page-count count="10"/>
<word-count count="4981"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1">
<title>Summary</title>
<p>The use of extreme hypofractionation using stereotactic body radiation therapy (SBRT) for localized prostate cancer remains controversial. There are no current randomized controlled trials comparing SBRT for localized prostate cancer with the current standard, intensity modulated radiation therapy (IMRT). Using the National Cancer Database with propensity score matching, we demonstrate no survival difference between SBRT and IMRT, including subset analysis of intermediate- and high-risk patients.</p>
</sec>
<sec id="S2" sec-type="introduction">
<title>Introduction</title>
<p>Intensity modulated radiation therapy (IMRT) is a standard radiation modality used in the treatment of organ confined prostate cancer. Ten-year actuarial data (median follow-up of 8&#x02009;years) is available for high-dose IMRT up to 81&#x02009;Gy which demonstrates high efficacy in preventing biochemical failure with acceptable side effects (<xref ref-type="bibr" rid="B1">1</xref>). Stereotactic body radiation therapy (SBRT) has been accepted as an &#x0201C;appropriate alternative for select patients with low to intermediate-risk disease&#x0201D; as per the ASTRO policy update of April 2013 and is also supported by the National Comprehensive Cancer Network (NCCN). SBRT publications have validated freedom from biochemical failure (FFBF) with up to 9-year actuarial data (median follow-up of 7&#x02009;years) and side effect rates comparable with IMRT (<xref ref-type="bibr" rid="B2">2</xref>&#x02013;<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>The combination of prostate cancer&#x02019;s low a/b ratio, known benefit of dose-escalation, and efficacy/safety of high-dose rate brachytherapy led to single institutional, multi-institutional, and randomized clinical trials of SBRT for the treatment of prostate cancer (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Randomized data are lacking comparing the outcome of treatment for SBRT compared with IMRT for localized prostate cancer. The primary goal of this study is to compare survival between SBRT and IMRT for men with organ confined prostate cancer utilizing the National Cancer Database (NCDB).</p>
</sec>
<sec id="S3" sec-type="materials|methods">
<title>Materials and Methods</title>
<p>The NCDB is jointly sponsored by the American College of Surgeons and the American Cancer Society. It is a clinical oncology database sourced from hospital registry data collected in more than 1,500 commission on cancer-accredited facilities. NCDB data are used to analyze and track patients with malignant neoplastic diseases, their treatments, and outcomes. Data represent approximately 70% of newly diagnosed cancer cases nationwide and 30 million historical records. The NCDB includes prostate cancer patients treated from 2004 to 2013 providing information on demographics, risk factors specific to prostate cancer, staging information, treatment, and survival data. Patients are de-identified and the database is then sent to individual researchers for analysis after application and acceptance for individual projects.</p>
<p>We initially identified 274,626 patients who received external beam radiation of some form. We excluded those patients who received prior surgery to the prostate. We excluded all but those patients who were listed as invasive adenocarcinoma of the prostate. We excluded those patients with metastatic disease, node positive disease, more than one previous cancer, and stages 0 and 4 disease. Of those, we excluded patients who received radiation in forms other than IMRT or SBRT. We included all patients diagnosed between 2004 and 2013 and treated within 180&#x02009;days of diagnosis to rule out patients on active surveillance. We included only men that received all radiation dose directed to the prostate, therefore men were excluded if the pelvis was included in the initial treatment volume. Men were excluded if protons or brachytherapy was used for radiation treatment. We then reviewed total radiation dose and excluded low doses that were clearly outliers from standard accepted doses during that time interval, range 35&#x02013;50&#x02009;Gy for SBRT and 72&#x02013;86.4&#x02009;Gy for IMRT. Patients with missing variables were then excluded, leaving 33,638 patients (Figure <xref ref-type="fig" rid="F1">1</xref>-CONSORT diagram).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>CONSORT diagram.</p></caption>
<graphic xlink:href="fonc-07-00185-g001.tif"/>
</fig>
<p>Patients were then matched using propensity score matched (PSM) between treatment groups (IMRT or SBRT). The primary endpoint was overall survival (OS).</p>
<p>Demographic variables evaluable from the NCDB and matched by PSM include year of diagnosis, age, race, insurance status, residence location, median household income, patient comorbidity <italic>via</italic> the Charlson&#x02013;Deyo comorbidity score, facility type, and treatment facility volume (divided into tertiles). Tumor and treatment specific factors evaluable from the NCDB include prostate-specific antigen (PSA), T stage, and Gleason score as well as use of androgen deprivation therapy. Radiation treatment dose was also stratified into low, medium, and high categories to be sure varying dose levels were evenly distributed between treatment groups. IMRT doses were defined as 7,200&#x02013;7,559&#x02009;cGy for low, 7,560&#x02013;7,799&#x02009;cGy for medium, and 7,800&#x02013;8,640&#x02009;cGy high. SBRT doses were defined as 3,500&#x02013;3,624&#x02009;cGy for low, 3,625&#x02013;3,750&#x02009;cGy for medium, and 3,751&#x02013;5,000&#x02009;cGy for high. All other doses below or above these defined categories were excluded.</p>
<p>Age was stratified into six groups (&#x0003C;55, 55&#x02013;59, 60&#x02013;64, 65&#x02013;69, 70&#x02013;74, 75&#x02013;90&#x02009;years). Race was characterized as either African&#x02013;American, white, others, and unknown. Insurance status was outlined by the NCDB into six categories (Medicaid, Medicare, not insured, insurance status unknown, other governmental insurance, private insurance). The NCDB labeled residence location as metropolitan, rural, or urban using published files by the US Department of Agriculture Economic Research Service. Median household income was divided into quartiles &#x0003C;38K, 38&#x02013;47,999, 48&#x02013;62,999, &#x0002B;63, and unknown using average county level data from patient zip codes. Patient co-morbidities were coded as Charlson&#x02013;Deyo comorbidity scores 0, 1, &#x02265;2 (<xref ref-type="bibr" rid="B7">7</xref>). Type of cancer facility included academic/research programs, community cancer programs, comprehensive community cancer programs, integrated network cancer programs, and other. The NCDB used the American Joint Committee on Cancer Staging Atlas, sixth, and seventh edition for staging as appropriate for year of diagnosis.</p>
<p>Treatment groups were compared on demographic and clinical characteristics using &#x003C7;<sup>2</sup> test statistics. Propensity score 1&#x02013;1 nearest neighbor matching without replacement was used to match treatment groups. Absolute standard mean differences (ASMDs) were used as a balance statistic for individual covariates, where an ASMD below 0.20 is desirable for all variables. Patients in the IMRT group were well matched with patients in the SBRT group on the following characteristics: age, race, residence, insurance status, median household income, Charlson&#x02013;Deyo comorbidity scores, treatment facility type, year of diagnosis, tumor stage, PSA, and Gleason score. Scores calculated were blinded from researchers with respect to patient outcomes. OS was calculated from date of diagnosis to date of death or last follow-up. OS was estimated using Kaplan&#x02013;Meier methodology, forming the basis of survival curves, and univariate comparisons were accomplished using log-rank test statistics. Propensity score matching was conducted using the MatchIt package in R version 3.30. All other statistical analyses were performed using SAS version 9.4 (SAS Inc., Cary, NC, USA).</p>
<p>This study was approved and carried out in accordance with the recommendations of the NCDB which provided a de-identified file for investigator use. The NCDB is not responsible for the analytical methodology or conclusions of the investigator.</p>
</sec>
<sec id="S4">
<title>Results</title>
<sec id="S4-1">
<title>Patient Matching</title>
<p>Simple 1&#x02013;1 nearest neighbor matching resulted in a matched sample of 5,430 with 2,715 in each group. Since these groups were well matched on the basis of ASMDs below 0.2, comparisons between treatment groups (IMRT, SBRT) could be made using a Kaplan&#x02013;Meier curve, and a log-rank test statistic (Figure <xref ref-type="fig" rid="F2">2</xref>). The <italic>p</italic>-value corresponding to the log-rank test was above 0.05 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.6483), indicating that no significant differences between treatment groups were observed after matching.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Plot of absolute standard mean differences (ASMDs) for original data and after 1&#x02013;1 nearest neighbor PS matching.</p></caption>
<graphic xlink:href="fonc-07-00185-g002.tif"/>
</fig>
</sec>
<sec id="S4-2">
<title>Patient Characteristics</title>
<p>A total of 5,430 men were included in the analysis after applying inclusion criteria, exclusion criteria, and performing PSM. There were 2,715 patients (50%) treated with SBRT and 2,715 patients (50%) treated with IMRT. Survival was evaluable through 8&#x02009;years on the basis of an adequate number of patients at risk. Patient and treatment characteristics by treatment group are provided in Table <xref ref-type="table" rid="T1">1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Population characteristics of matched sample by treatment group.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Characteristic</th>
<th valign="top" align="center">All patients <italic>N</italic>&#x02009;&#x0003D;&#x02009;5,430 <italic>N</italic> (%)</th>
<th valign="top" align="center">IMRT <italic>N</italic>&#x02009;&#x0003D;&#x02009;2,715 <italic>N</italic> (%)</th>
<th valign="top" align="center">SBRT <italic>N</italic>&#x02009;&#x0003D;&#x02009;2,715 <italic>N</italic> (%)</th>
<th valign="top" align="center"><italic>p</italic>-Values</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">0.4032</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x0003C;55</td>
<td align="center" valign="top">275 (5.1%)</td>
<td align="center" valign="top">123 (4.5%)</td>
<td align="center" valign="top">152 (5.6%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;55&#x02013;59</td>
<td align="center" valign="top">518 (9.5%)</td>
<td align="center" valign="top">260 (9.6%)</td>
<td align="center" valign="top">258 (9.5%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;60&#x02013;64</td>
<td align="center" valign="top">1,411 (25.9%)</td>
<td align="center" valign="top">438 (16.1%)</td>
<td align="center" valign="top">454 (16.7%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;65&#x02013;69</td>
<td align="center" valign="top">1,276 (23.5%)</td>
<td align="center" valign="top">715 (26.3%)</td>
<td align="center" valign="top">696 (25.6%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;70&#x02013;74</td>
<td align="center" valign="top">1,058 (19.5%)</td>
<td align="center" valign="top">658 (24.2%)</td>
<td align="center" valign="top">618 (22.8%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;75&#x02013;90</td>
<td align="center" valign="top">1,058 (19.5%)</td>
<td align="center" valign="top">521 (19.2%)</td>
<td align="center" valign="top">537 (19.8%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Race</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">0.4803</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Black</td>
<td align="center" valign="top">597 (11.0%)</td>
<td align="center" valign="top">281 (10.4%)</td>
<td align="center" valign="top">316 (11.6%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Other</td>
<td align="center" valign="top">79 (1.5%)</td>
<td align="center" valign="top">38 (1.4%)</td>
<td align="center" valign="top">41 (1.5%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Unknown</td>
<td align="center" valign="top">40 (0.7%)</td>
<td align="center" valign="top">20 (0.7%)</td>
<td align="center" valign="top">20 (0.7%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;White</td>
<td align="center" valign="top">4,714 (86.8%)</td>
<td align="center" valign="top">2,376 (87.5%)</td>
<td align="center" valign="top">2,338 (86.1%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Insurance status</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">0.9208</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Insurance status unknown</td>
<td align="center" valign="top">59 (1.1%)</td>
<td align="center" valign="top">31 (1.1%)</td>
<td align="center" valign="top">28 (1.0%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Medicaid</td>
<td align="center" valign="top">50 (0.9%)</td>
<td align="center" valign="top">24 (0.9%)</td>
<td align="center" valign="top">26 (1.0%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Medicare</td>
<td align="center" valign="top">3,289 (60.6%)</td>
<td align="center" valign="top">1,653 (60.9%)</td>
<td align="center" valign="top">1,636 (60.3%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Not insured</td>
<td align="center" valign="top">56 (1.0%)</td>
<td align="center" valign="top">30 (1.1%)</td>
<td align="center" valign="top">26 (1.0%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Other government</td>
<td align="center" valign="top">52 (1.0%)</td>
<td align="center" valign="top">23 (0.9%)</td>
<td align="center" valign="top">29 (1.1%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Private insurance</td>
<td align="center" valign="top">1,924 (35.4%)</td>
<td align="center" valign="top">954 (35.1%)</td>
<td align="center" valign="top">971 (35.7%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Patient residence</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">0.5233</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Metropolitan</td>
<td align="center" valign="top">4,894 (90.1%)</td>
<td align="center" valign="top">2,442 (89.9%)</td>
<td align="center" valign="top">2,452 (90.3%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Rural</td>
<td align="center" valign="top">48 (0.9%)</td>
<td align="center" valign="top">21 (0.8%)</td>
<td align="center" valign="top">27 (1.0%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Urban</td>
<td align="center" valign="top">488 (9.0%)</td>
<td align="center" valign="top">252 (9.3%)</td>
<td align="center" valign="top">236 (8.7%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Median household income (US&#x00024;)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">0.0746</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x0003C;38,000</td>
<td align="center" valign="top">451 (8.3%)</td>
<td align="center" valign="top">214 (7.9%)</td>
<td align="center" valign="top">237 (8.7%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;38,000&#x02013;47,999</td>
<td align="center" valign="top">773 (14.2%)</td>
<td align="center" valign="top">394 (14.5%)</td>
<td align="center" valign="top">379 (14.0%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;48,000&#x02013;62,999</td>
<td align="center" valign="top">1,223 (22.5%)</td>
<td align="center" valign="top">647 (23.8%)</td>
<td align="center" valign="top">576 (21.2%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;63,000&#x0002B;</td>
<td align="center" valign="top">2,983 (54.9%)</td>
<td align="center" valign="top">1,460 (53.8%)</td>
<td align="center" valign="top">1,523 (56.1%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Charlson&#x02013;Deyo comorbidity score</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">0.0155</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;0</td>
<td align="center" valign="top">4,783 (88.1%)</td>
<td align="center" valign="top">2,417 (89.0%)</td>
<td align="center" valign="top">2,366 (87.2%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;1</td>
<td align="center" valign="top">555 (10.2%)</td>
<td align="center" valign="top">247 (9.1%)</td>
<td align="center" valign="top">308 (11.3%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;2</td>
<td align="center" valign="top">92 (1.7%)</td>
<td align="center" valign="top">51 (1.9%)</td>
<td align="center" valign="top">41 (1.5%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Facility type</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">0.0026</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Academic/research program</td>
<td align="center" valign="top">2,660 (49.0%)</td>
<td align="center" valign="top">1,269 (46.7%)</td>
<td align="center" valign="top">1,391 (51.2%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Community cancer program</td>
<td align="center" valign="top">55 (1.0%)</td>
<td align="center" valign="top">27 (1.0%)</td>
<td align="center" valign="top">28 (1.0%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Comprehensive community program</td>
<td align="center" valign="top">2,291 (42.2%)</td>
<td align="center" valign="top">1,214 (44.7%)</td>
<td align="center" valign="top">1,077 (39.7%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Integrated network cancer program</td>
<td align="center" valign="top">424 (7.8%)</td>
<td align="center" valign="top">205 (7.6%)</td>
<td align="center" valign="top">219 (8.1%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Year of diagnosis</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">0.5820</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;2004&#x02013;2009</td>
<td align="center" valign="top">2,266 (41.7%)</td>
<td align="center" valign="top">1,123 (41.4%)</td>
<td align="center" valign="top">1,143 (42.1%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;2010&#x02013;2013</td>
<td align="center" valign="top">3,164 (58.3%)</td>
<td align="center" valign="top">1,592 (58.6%)</td>
<td align="center" valign="top">1,572 (57.9%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Tumor clinical stage</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">0.8034</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Other</td>
<td align="center" valign="top">52 (1.0%)</td>
<td align="center" valign="top">24 (0.9%)</td>
<td align="center" valign="top">28 (1.0%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;T1</td>
<td align="center" valign="top">4,333 (79.8%)</td>
<td align="center" valign="top">2,180 (80.3%)</td>
<td align="center" valign="top">2,153 (79.3%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;T2</td>
<td align="center" valign="top">1,027 (18.9%)</td>
<td align="center" valign="top">502 (18.5%)</td>
<td align="center" valign="top">525 (19.3%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;T3</td>
<td align="center" valign="top">18 (0.3%)</td>
<td align="center" valign="top">9 (0.3%)</td>
<td align="center" valign="top">9 (0.3%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Prostate-specific antigen</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">0.2692</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x0003C;10</td>
<td align="center" valign="top">4,455 (82.0%)</td>
<td align="center" valign="top">268 (9.9%)</td>
<td align="center" valign="top">289 (10.6%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;10&#x02013;20</td>
<td align="center" valign="top">557 (10.3%)</td>
<td align="center" valign="top">2,250 (82.9%)</td>
<td align="center" valign="top">2,205 (81.2%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x0003E;20</td>
<td align="center" valign="top">418 (7.7%)</td>
<td align="center" valign="top">197 (7.3%)</td>
<td align="center" valign="top">221 (8.1%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Gleason score</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">0.0182</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;5</td>
<td align="center" valign="top">32 (0.6%)</td>
<td align="center" valign="top">13 (0.5%)</td>
<td align="center" valign="top">19 (0.7%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;6</td>
<td align="center" valign="top">3,020 (55.6%)</td>
<td align="center" valign="top">1,558 (57.4%)</td>
<td align="center" valign="top">1,462 (53.9%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;7</td>
<td align="center" valign="top">2,087 (38.4%)</td>
<td align="center" valign="top">990 (36.5%)</td>
<td align="center" valign="top">1,097 (40.4%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;8</td>
<td align="center" valign="top">214 (3.9%)</td>
<td align="center" valign="top">107 (3.9%)</td>
<td align="center" valign="top">107 (3.9%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;9</td>
<td align="center" valign="top">73 (1.3%)</td>
<td align="center" valign="top">45 (1.7%)</td>
<td align="center" valign="top">28 (1.0%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;10</td>
<td align="center" valign="top">4 (0.1%)</td>
<td align="center" valign="top">2 (0.1%)</td>
<td align="center" valign="top">2 (0.1%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Hormone therapy</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">0.4834</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;No</td>
<td align="center" valign="top">4,925 (90.7%)</td>
<td align="center" valign="top">2,455 (90.4%)</td>
<td align="center" valign="top">2,470 (91.0%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Yes</td>
<td align="center" valign="top">505 (9.3%)</td>
<td align="center" valign="top">260 (9.6%)</td>
<td align="center" valign="top">245 (9.0%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Dose level</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Low</td>
<td align="center" valign="top">1,076 (19.8%)</td>
<td align="center" valign="top">436 (16.1%)</td>
<td align="center" valign="top">640 (23.6%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Intermediate</td>
<td align="center" valign="top">3,903 (71.9%)</td>
<td align="center" valign="top">2,039 (75.1%)</td>
<td align="center" valign="top">1,864 (68.7%)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x02003;High</td>
<td align="center" valign="top">451 (8.3%)</td>
<td align="center" valign="top">240 (8.8%)</td>
<td align="center" valign="top">211 (7.8%)</td>
<td align="center" valign="top"/>
</tr>
</tbody>
</table>
</table-wrap>
<p>No significant differences were observed in the distributions for age, race, insurance status, patient residence, median household income, year of diagnosis, clinical tumor stage, PSA, or hormone therapy between the matched treatment groups on the basis of <italic>p</italic>&#x02009;&#x0003C;&#x02009;0.05. Significant differences in matched groups existed on the following variables: Charlson&#x02013;Deyo score (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0155), facility type (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0026), Gleason score (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0182), and dose category (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.0001).</p>
</sec>
<sec id="S4-3">
<title>OS for Matched Patients</title>
<p>Figure <xref ref-type="fig" rid="F3">3</xref> provides Kaplan&#x02013;Meier OS estimates by treatment group. No statistically significant overall differences are observed (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.6483), and the estimated OS at 8&#x02009;years for IMRT and SBRT patients was 77.23 and 79.38%, respectively. The estimated OS at 8&#x02009;years for other patient variables, both within the matched and pre-matched groups, are provided in Table <xref ref-type="table" rid="T2">2</xref>. Age (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.0001), insurance status (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0002), patient residence (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0145), median household income (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0059), Charlson&#x02013;Deyo comorbidity score (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.0001), PSA (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0131, Figure <xref ref-type="fig" rid="F4">4</xref>), and GS (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.0001, Figure <xref ref-type="fig" rid="F5">5</xref>) demonstrated statistically significant differences in OS on univariate analysis (UVA) for the matched group. All other factors on UVA did not demonstrate statistically significant differences.</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Kaplan&#x02013;Meier estimates by treatment group in propensity score matched sample.</p></caption>
<graphic xlink:href="fonc-07-00185-g003.tif"/>
</fig>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Estimated KM overall survival at 8&#x02009;years for all variables.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Variable</th>
<th valign="top" align="center" colspan="2">Matched sample (<italic>N</italic>&#x02009;&#x0003D;&#x02009;5,430)<hr/></th>
<th valign="top" align="center" colspan="2">Whole sample (<italic>N</italic>&#x02009;&#x0003D;&#x02009;33,638)<hr/></th>
</tr><tr>
<th valign="top" align="center">% survived at 8&#x02009;years</th>
<th valign="top" align="center">Log-rank <italic>p</italic>-value</th>
<th valign="top" align="center">% survived at 8&#x02009;years</th>
<th valign="top" align="center">Log-rank <italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Treatment</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="3">0.6483</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="3">0.0056</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;IMRT</td>
<td align="center" valign="top">77.23</td>
<td align="center" valign="top">75.50</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;SBRT</td>
<td align="center" valign="top">79.38</td>
<td align="center" valign="top">79.38</td>
</tr>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="7">&#x0003C;0.0001</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="7">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x0003C;55</td>
<td align="center" valign="top">98.60</td>
<td align="center" valign="top">87.42</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;55&#x02013;59</td>
<td align="center" valign="top">79.63</td>
<td align="center" valign="top">85.85</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;60&#x02013;64</td>
<td align="center" valign="top">93.47</td>
<td align="center" valign="top">84.44</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;65&#x02013;69</td>
<td align="center" valign="top">81.85</td>
<td align="center" valign="top">80.26</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;70&#x02013;74</td>
<td align="center" valign="top">78.35</td>
<td align="center" valign="top">76.24</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;75&#x02013;90</td>
<td align="center" valign="top">59.77</td>
<td align="center" valign="top">63.73</td>
</tr>
<tr>
<td align="left" valign="top">Race</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="5">0.2813</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="5">0.0003</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Black</td>
<td align="center" valign="top">83.99</td>
<td align="center" valign="top">75.96</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Other</td>
<td align="center" valign="top">71.87</td>
<td align="center" valign="top">79.84</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Unknown</td>
<td align="center" valign="top">100.00</td>
<td align="center" valign="top">84.05</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;White</td>
<td align="center" valign="top">77.60</td>
<td align="center" valign="top">75.38</td>
</tr>
<tr>
<td align="left" valign="top">Insurance status</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="7">0.0002</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="7">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Insurance status unknown</td>
<td align="center" valign="top">78.28</td>
<td align="center" valign="top">77.01</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Medicaid</td>
<td align="center" valign="top"/>
<td align="center" valign="top">69.54</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Medicare</td>
<td align="center" valign="top">74.41</td>
<td align="center" valign="top">72.21</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Not insured</td>
<td align="center" valign="top">86.60</td>
<td align="center" valign="top">76.88</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Other government</td>
<td align="center" valign="top">89.84</td>
<td align="center" valign="top">77.71</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Private insurance</td>
<td align="center" valign="top">84.80</td>
<td align="center" valign="top">83.35</td>
</tr>
<tr>
<td align="left" valign="top">Patient residence</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="4">0.0145</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="4">0.0599</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Metropolitan</td>
<td align="center" valign="top">79.45</td>
<td align="center" valign="top">76.14</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Rural</td>
<td align="center" valign="top">61.00</td>
<td align="center" valign="top">69.61</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Urban</td>
<td align="center" valign="top">63.89</td>
<td align="center" valign="top">73.41</td>
</tr>
<tr>
<td align="left" valign="top">Median household income (US&#x00024;)</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="5">0.0059</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="5">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x0003C;38,000</td>
<td align="center" valign="top">78.13</td>
<td align="center" valign="top">72.58</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;38,000&#x02013;47,999</td>
<td align="center" valign="top">63.15</td>
<td align="center" valign="top">73.25</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;48,000&#x02013;62,999</td>
<td align="center" valign="top">81.35</td>
<td align="center" valign="top">75.64</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;63,000&#x0002B;</td>
<td align="center" valign="top">80.88</td>
<td align="center" valign="top">78.48</td>
</tr>
<tr>
<td align="left" valign="top">Charlson&#x02013;Deyo comorbidity score</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="4">&#x0003C;0.0001</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="4">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;0</td>
<td align="center" valign="top">79.32</td>
<td align="center" valign="top">77.22</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;1</td>
<td align="center" valign="top">73.73</td>
<td align="center" valign="top">64.39</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;2</td>
<td align="center" valign="top">33.20</td>
<td align="center" valign="top">53.74</td>
</tr>
<tr>
<td align="left" valign="top">Facility type</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="5">0.9955</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="5">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Academic/research program</td>
<td align="center" valign="top">75.94</td>
<td align="center" valign="top">77.74</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Community cancer program</td>
<td align="center" valign="top">67.70</td>
<td align="center" valign="top">72.41</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Comprehensive community program</td>
<td align="center" valign="top">80.36</td>
<td align="center" valign="top">74.75</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Integrated network cancer program</td>
<td align="center" valign="top">75.57</td>
<td align="center" valign="top">77.35</td>
</tr>
<tr>
<td align="left" valign="top">Year of diagnosis</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="3">0.0210</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="3">0.0118</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;2004&#x02013;2009</td>
<td align="center" valign="top">78.69</td>
<td align="center" valign="top">75.86</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;2010&#x02013;2013</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Tumor clinical stage</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="5">0.0826</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="5">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Other</td>
<td align="center" valign="top">90.44</td>
<td align="center" valign="top">76.45</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;T1</td>
<td align="center" valign="top">78.69</td>
<td align="center" valign="top">77.15</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;T2</td>
<td align="center" valign="top">74.57</td>
<td align="center" valign="top">73.28</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;T3</td>
<td align="center" valign="top">80.82</td>
<td align="center" valign="top">65.30</td>
</tr>
<tr>
<td align="left" valign="top">Prostate-specific antigen</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="4">0.0131</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="4">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x0003C;10</td>
<td align="center" valign="top">78.65</td>
<td align="center" valign="top">77.69</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;10&#x02013;20</td>
<td align="center" valign="top">72.72</td>
<td align="center" valign="top">69.27</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x0003E;20</td>
<td align="center" valign="top">77.61</td>
<td align="center" valign="top">70.62</td>
</tr>
<tr>
<td align="left" valign="top">Gleason score</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="3">&#x0003C;0.0001</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="3">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x0003C;7</td>
<td align="center" valign="top">81.35</td>
<td align="center" valign="top">80.65</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02265;7</td>
<td align="center" valign="top">71.96</td>
<td align="center" valign="top">70.85</td>
</tr>
<tr>
<td align="left" valign="top">Hormone therapy</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="3">0.0020</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="3">&#x0003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;No</td>
<td align="center" valign="top">78.49</td>
<td align="center" valign="top">78.19</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Yes</td>
<td align="center" valign="top">73.05</td>
<td align="center" valign="top">70.97</td>
</tr>
<tr>
<td align="left" valign="top">Dose level</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="4">0.5403</td>
<td align="center" valign="top"/>
<td align="center" valign="top" rowspan="4">0.1488</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Low</td>
<td align="center" valign="top">76.93</td>
<td align="center" valign="top">75.77</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Intermediate</td>
<td align="center" valign="top">77.86</td>
<td align="center" valign="top">75.15</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;High</td>
<td align="center" valign="top">86.18</td>
<td align="center" valign="top">77.22</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Kaplan&#x02013;Meier estimates by prostate-specific antigen in propensity score matched sample.</p></caption>
<graphic xlink:href="fonc-07-00185-g004.tif"/>
</fig>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Kaplan&#x02013;Meier estimates by Gleason score in propensity score matched sample.</p></caption>
<graphic xlink:href="fonc-07-00185-g005.tif"/>
</fig>
</sec>
<sec id="S4-4">
<title>OS by Subpopulation</title>
<p>In order to further characterize the effect of treatment modality among higher risk prostate cancer patients, three additional PSM analyses (1&#x02013;1 nearest neighbor matching without replacement) were carried out within patients having a pretreatment PSA&#x02009;&#x0003E;&#x02009;10 or GS&#x02009;&#x0003E;&#x02009;7 or GS&#x02009;&#x0003D;&#x02009;7.</p>
<p>The PSM analysis of patients with PSA&#x02009;&#x0003E;&#x02009;10 resulted in a matched sample of 1,020 (510 in each group). The groups were well matched on the basis of ASMD values below 0.20, and thus differences between treatment groups (IMRT vs SBRT) could be carried out using a Kaplan&#x02013;Meier curve and a log-rank test (Figure <xref ref-type="fig" rid="F6">6</xref>). The <italic>p</italic>-value corresponding to the log-rank test was again above 0.05 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.5847), indicating that there were no statistically significant differences between treatment groups after matching.</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>Kaplan&#x02013;Meier estimates by treatment group in propensity score matched sample of prostate-specific antigen&#x02009;&#x0003E;&#x02009;10 patients.</p></caption>
<graphic xlink:href="fonc-07-00185-g006.tif"/>
</fig>
<p>Among patients with GS&#x02009;&#x0003E;&#x02009;7, PSM resulted in a matched sample of 274 (137 in each group). Again, the groups were well matched and differences between treatment groups (IMRT vs SBRT) resulted in a non-significant log-rank <italic>p</italic>-value (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.6179, Figure <xref ref-type="fig" rid="F7">7</xref>).</p>
<fig id="F7" position="float">
<label>Figure 7</label>
<caption><p>Kaplan&#x02013;Meier estimates by treatment group in propensity score matched sample of GS&#x02009;&#x0003E;&#x02009;7 patients.</p></caption>
<graphic xlink:href="fonc-07-00185-g007.tif"/>
</fig>
<p>Finally, the PSM analysis of patients with GS&#x02009;&#x0003D;&#x02009;7 resulted in a matched sample of 2,194 (1,097 in each group). The groups were well matched and differences between treatment groups (IMRT vs SBRT) resulted in a non-significant log-rank <italic>p</italic>-value (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.6789, Figure <xref ref-type="fig" rid="F8">8</xref>).</p>
<fig id="F8" position="float">
<label>Figure 8</label>
<caption><p>Kaplan&#x02013;Meier estimates by treatment group in propensity score matched sample of GS&#x02009;&#x0003D;&#x02009;7 patients.</p></caption>
<graphic xlink:href="fonc-07-00185-g008.tif"/>
</fig>
</sec>
</sec>
<sec id="S5" sec-type="discussion">
<title>Discussion</title>
<p>No significant difference in survival between SBRT and IMRT for localized prostate cancer was found utilizing the NCDB with PSM matching at 8&#x02009;years. In addition, we found no significant difference in OS between the two treatment modalities in matching high-risk subpopulations of GS&#x02009;&#x0003D;&#x02009;7 or GS&#x02009;&#x0003E;&#x02009;7 or PSA&#x02009;&#x0003E;&#x02009;10. As expected, differences in OS by patient and clinical characteristics were observed among men with older age, higher comorbidity score, higher GS, and higher PSA.</p>
<p>Patient demographics and treatment characteristics in both treatment groups showed some statistically significant differences that were not controlled by PSM. These differences include two variables that significantly impacted survival in this study: Charlson&#x02013;Deyo comorbidity score and GS. When comparing comorbidity scores, although not necessarily clinically significant, there are an increased proportion of &#x0201C;healthy&#x0201D; patients (comorbidity score&#x02009;&#x0003D;&#x02009;0) in the IMRT group vs the SBRT group (89.0 vs 87.2%, respectively). In addition, the SBRT group has a higher proportion of patients with comorbidity score&#x02009;&#x0003D;&#x02009;1 (11.3 vs 9.1%, respectively). These results could potentially add bias against the SBRT treatment group, which appears to have worse comorbidity scores. The differences seen in GS distribution could also potentially bias against SBRT, with a greater proportion of GS&#x02009;&#x0003D;&#x02009;7 (40.4 vs 36.5%) and a lower proportion of GS&#x02009;&#x0003D;&#x02009;6 (53.9% vs 57.4%).</p>
<p>The strength of the current study is the large number of patients allowing for 8-year survival estimates by known risk factors for prostate cancer as well as other demographic and treatment factors not normally evaluated in single institutional or randomized trials. This database is homogeneous with regard to treatment technique with only men treated to the prostate with IMRT or SBRT analyzed. The database is homogeneous with regard to dose with stratification by low-, intermediate-, and high- dose groups for matching. Patients with no follow- up or outliers with regard to dose were excluded.</p>
<p>A weakness of this study is that survival is the only outcome available&#x02014;specifically, there is no biochemical or toxicity information. With the 2017 NCCN risk stratification, however, survival is the most important outcome parameter with treatment recommended only if at least 10-year survival is expected based on medical status. The NCDB potentially includes selection bias since only accredited hospitals input data which could represent patients receiving higher quality care. As such this analysis may not be a true population-based study which limit&#x02019;s the study generalizability (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>Intensity modulated radiation therapy continues to be a standard radiotherapeutic technique for the definitive treatment of localized prostate cancer using a conventionally fractionated approach with 1.8&#x02013;2.0&#x02009;Gy fractions 5&#x02009;days per week over 8&#x02013;9&#x02009;weeks. A decade of data supports this fractionation scheme for localized prostate cancer, with excellent biochemical control, OS, and acceptable toxicity. Dose-escalation trials revealed improved biochemical freedom from relapse (BFFR) in certain trials but no difference in survival as updated in a 2015 systematic review (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B10">10</xref>&#x02013;<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>Moderate hypofractionated radiotherapy for prostate cancer has been studied in six phase III randomized trials with varied number of fractions (19&#x02013;30) and doses (52.5&#x02013;72&#x02009;Gy). Two of the trials were carried out before dose-escalation was known and therefore delivered insufficient dose (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Three of the trials showed no significant difference reported in BFFR, OS, or toxicity compared with conventional fractionation for prostate cancer with median follow-up from 51 to 90&#x02009;months (<xref ref-type="bibr" rid="B17">17</xref>&#x02013;<xref ref-type="bibr" rid="B19">19</xref>). The recent 5-year data published from the non-inferiority HYPRO trial of intermediate- and high-risk patients concluded that dose-escalated moderate hypofractionation was not superior with comparable relapse-free survival but higher toxicity profiles compared with standard fractionation (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>Single institutions, pooled institutions, and registries have shown similar efficacy and toxicity of SBRT compared with IMRT in low and select intermediate-risk prostate cancer (<xref ref-type="bibr" rid="B22">22</xref>&#x02013;<xref ref-type="bibr" rid="B25">25</xref>). The study with longest follow-up was published in abstract form for mostly low- and intermediate-risk prostate cancer patients with 9-year FFBF of 95% low-risk, 89% intermediate-risk, and 66% high-risk groups. Extreme hypofractionation was tolerated well with 1.9% RTOG grade 3 urinary toxicity but no grade 3 GI toxicity (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Several trials will address the remaining questions regarding biochemical, toxicity, and survival outcomes for extreme hypofractionation. RTOG 0938, an equivalency study of low-risk prostate cancer, randomized extreme hypofractionation 36.25&#x02009;Gy in 5 fractions to moderate hypofractionation of 51.6&#x02009;Gy in 12 fractions. The study was closed February 2014 with 255 patients accrued with quality of life at 1&#x02009;year the primary outcome. It was recently published that both the 5 fraction and 12 fraction regimens were well tolerated (<xref ref-type="bibr" rid="B26">26</xref>). A recent dose-escalation trial for prostate cancer treated with SBRT has also shown acceptable toxicities up to 47.5&#x02009;Gy over 2.5&#x02009;weeks (<xref ref-type="bibr" rid="B27">27</xref>). Three randomized trials await completion comparing conventional fractionation or moderate hypofractionation to extreme hypofractionation (<xref ref-type="bibr" rid="B28">28</xref>&#x02013;<xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>The Technology Assessment produced by the Agency for Healthcare Research and Quality, &#x0201C;Comparative Evaluation of radiation treatments for clinically localized prostate cancer: an update,&#x0201D; analyzed 60 high-quality studies including 9 RCTs, and determined that there is insufficient evidence to support either SBRT vs IMRT, noting that there was no high-quality study comparing SBRT to any other radiation modality. The Institute of Medicine has also included prostate cancer comparative effectiveness research in the &#x0201C;top quartile&#x0201D; group for priority (<xref ref-type="bibr" rid="B31">31</xref>). This NCDB PSM analysis for clinically localized prostate cancer compares these two radiation treatment modalities with a large sample size and provides evidence to suggest no difference in OS through 8&#x02009;years.</p>
</sec>
<sec id="S6">
<title>Conclusion</title>
<p>In a PSM analysis of the NCDB, no difference in OS was observed when comparing IMRT to SBRT in the treatment of localized prostate cancer. Subset analyses of intermediate- and high-risk patients (Gleason score&#x02009;&#x0003D;&#x02009;7 or &#x0003E;7 or PSA&#x02009;&#x0003E;&#x02009;10) confirmed no observed difference in OS by treatment within these populations. We await randomized data to confirm these survival findings.</p>
</sec>
<sec id="S7">
<title>Ethics Statement</title>
<p>Ethics statements were placed in the body of Section &#x0201C;<xref ref-type="sec" rid="S3">Materials and Methods</xref>&#x0201D; in the manuscript.</p>
</sec>
<sec id="S8" sec-type="author-contributor">
<title>Author Contributions</title>
<p>All authors contributed to the conception and design, analysis, interpretation of data, drafting of the abstract, and its revision for important intellectual comment.</p>
</sec>
<sec id="S9">
<title>Conflict of Interest Statement</title>
<p>RL is a partial stockholder of Philadelphia Cyberknife. All authors have read and approved the manuscript. We have no financial disclosures. We are not using any copyrighted information, patient photographs, identifiers, or other protected health information in this paper. No text, text boxes, figures, or tables in this article have been previously published or owned by another party.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> We kindly thank the Radiosurgical Research Institute for providing us the necessary funding through a Research Grant for statistical support.</p></fn>
</fn-group>
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