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Annual Meeting Proceedings Part 1 - American Society of Clinical ...

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6085 General Poster Session (Board #7B), Mon, 1:15 PM-5:15 PM<br />

Physical activity (PA) and physical function (PF) in adult cancer survivors<br />

(CS). Presenting Author: Peter Crawford Birks, British Columbia Cancer<br />

Agency, Vancouver, BC, Canada<br />

Background: The longevity <strong>of</strong> CS is increasing, underscoring the importance<br />

<strong>of</strong> lifestyle modifications and preventive care, consisting <strong>of</strong> regular PA and<br />

maintenance <strong>of</strong> PF. Our aims were to 1) compare PA and PF among<br />

short-term CS, long-term CS and non-cancer controls (NCC) and 2) identify<br />

other clinical factors associated with decreased PA and PF. Methods: We<br />

identified CS and NCC from the US National Health and Nutrition<br />

Examination Survey (NHANES). CS were categorized into �/�5 (shortterm)<br />

and �5 years (long-term) based on date <strong>of</strong> diagnosis. Multivariate<br />

weighted regression models were constructed to examine for differences in<br />

28 and 26 measures <strong>of</strong> PA and PF, respectively, while controlling for age,<br />

gender, ethnicity, education, income, and other confounders. We explored<br />

specific and general PA domains such as aerobic activity and decline from<br />

past activity level as well as PF areas including ADLs, IADLs and mobility.<br />

Results: In total, 26,185 subjects were identified: 968 short-term CS,<br />

1,367 long-term CS, and 23,832 NCC. For the entire cohort, the mean age<br />

was 50 years, 52% were men, and 50% were white. Comparing across the<br />

3 patient groups, CS were generally older than NCC (60 vs 45 years,<br />

p�0.01). In terms <strong>of</strong> PA, short-term CS reported less general activity<br />

compared to 1 year ago (OR 0.58, 95%, CI 0.46-0.73, p�0.01) than<br />

long-term CS and NCC. In comparison to NCC, both groups <strong>of</strong> CS also<br />

described less current activity than their baseline from 10 years ago (OR<br />

0.63, 95% CI 0.48-0.82, P�0.001 and OR 0.67, 95% CI 0.55-0.83,<br />

P��0.01). There were significant differences among patient groups in<br />

several areas <strong>of</strong> PF (Table). Other factors that were associated with lower PA<br />

and PF included advanced age, low education, and low income. Conclusions:<br />

PA between CS and NCC were similar, although current activity as<br />

compared to that <strong>of</strong> the preceding year or past decade appears lower in CS,<br />

which may reflect their older age. Impairments in several measures <strong>of</strong> PF<br />

were observed among CS, which could impact their quality and quantity <strong>of</strong><br />

life.<br />

Limited work<br />

OR (95%CI) p<br />

Limited<br />

mobility OR<br />

(95%CI) p<br />

Limited<br />

leisure<br />

activities OR<br />

(95%CI) p<br />

NCC 1.00 0.01 1.00 0.02 1.00 0.05<br />

CS 5y 1.61 (1.3-1.9) 1.44 (1.1-1.9) 1.02 (0.6-1.7)<br />

6087 General Poster Session (Board #7D), Mon, 1:15 PM-5:15 PM<br />

Involvement <strong>of</strong> low- and middle-income countries (LMCs) in oncology<br />

randomized controlled trials (RCTs). Presenting Author: Janice C. Wong,<br />

Princess Margaret Hospital, Toronto, ON, Canada<br />

Background: Lower costs and fewer regulatory barriers make clinical trials in<br />

LMCs attractive, but little is known about characteristics <strong>of</strong> such trials and<br />

roles <strong>of</strong> investigators from LMCs. We describe trends in participation <strong>of</strong><br />

investigators from LMCs in oncology RCTs over a decade. Methods: We used<br />

Medline to identify all RCTs published in English between January 1 1998<br />

and December 31 2008 evaluating treatment in five solid tumours (lung,<br />

breast, colorectal, stomach, liver) with high mortality in LMCs as per<br />

GLOBOCAN 2002. Data on author affiliations and roles (first, middle or<br />

corresponding author), trial characteristics, funding and study interventions<br />

were abstracted using an electronic form. Countries were stratified<br />

into low-, middle- and high-income using World Bank data. Interventions<br />

were categorized as requiring basic, limited, enhanced or maximal resources<br />

as per the Breast Health Global Initiative classification. Logistic<br />

regression identified factors associated with investigator participation from<br />

LMCs. Results: 454 trials were identified: lung (n�177), breast (n�165),<br />

colorectal (n�82), stomach (n�29), liver (n�7). The annual number <strong>of</strong><br />

trials published increased from 10 trials in 1998 to 86 in 2008. The<br />

proportion <strong>of</strong> trials with at least one LMC author also increased over time<br />

from 20% in 1998 to 29% in 2008 (p�0.01), but almost all LMC authors<br />

were from middle-income countries. In 17% <strong>of</strong> trials involving LMC<br />

authors, they were first or corresponding authors. 67% <strong>of</strong> trials involving<br />

LMC investigators evaluated interventions requiring enhanced or maximal<br />

resources for implementation. Factors associated with LMC participation<br />

included industry funding (OR�3.57, p�0.0001), use <strong>of</strong> placebo arm<br />

(OR�2.59, p�0.02) and metastatic setting (OR�3.87, p�0.0003).<br />

Conclusions: An increasing number <strong>of</strong> oncology RCTs involve LMC investigators<br />

primarily in non-leadership roles. These trials are commonly industryfunded<br />

and <strong>of</strong>ten test interventions that require at least enhanced resources<br />

for implementation. To minimize concerns <strong>of</strong> exploitation and facilitate<br />

future collaboration it is crucial that interventions are locally feasible and<br />

investigators receive appropriate authorship.<br />

Health Services Research<br />

403s<br />

6086 General Poster Session (Board #7C), Mon, 1:15 PM-5:15 PM<br />

The NCI Community Cancer Centers Program (NCCCP): A model for<br />

reducing cancer health care disparities. Presenting Author: Donna M.<br />

O’Brien, NCI NCCCP Program, Bethesda, MD<br />

Background: In 2007, NCI launched the NCCCP, a public-private partnership<br />

with 16 community hospital cancer centers in 14 states, to explore<br />

methods to improve patient access to advanced cancer care in the<br />

community. With 40% <strong>of</strong> its NCI funding directed to reduce disparities<br />

across the cancer continuum, the NCCCP aims to: 1) Enhance access to<br />

care; 2) Improve quality <strong>of</strong> care; and 3) Increase clinical trials accrual. This<br />

approach supports priorities in the 2009 ASCO Policy Statement: Disparities<br />

in Cancer Care. Methods: A disparities workplan was developed to<br />

support the three aims. NCI and the sites worked as a learning collaborative<br />

to develop strategies and metrics for: race and ethnicity data tracking; near<br />

real-time reporting <strong>of</strong> adherence to Commission on Cancer (CoC) treatment<br />

quality measures; community outreach and patient navigation to increase<br />

cancer screening; and improved clinical trial underserved accrual. The<br />

tools and resources supporting these efforts will be discussed.<br />

(http://ncccp.cancer.gov/About/Progress.htm). Results: Evaluation <strong>of</strong> the 3<br />

year pilot shows improvement for underserved populations: Concordance<br />

with CoC treatment quality measures for radiation therapy for breast<br />

conserving surgery among Medicaid patients improved from 59.5 percent<br />

to 84.8 percent (p�.05). Increased community screening events (from<br />

992 to 1,585) and community partnerships focused on underserved<br />

populations (from 78 to 195). Increased accrual to NCI trials (minority<br />

accrual from 82 to 151 and elderly from 200 to 641). Conclusions: To be<br />

effective in reducing healthcare disparities, a multi-level approach is<br />

needed. This includes having: organizations which demonstrate a strong<br />

community-oriented mission; commitment by hospital management; engagement<br />

<strong>of</strong> private practice physicians; targeted training <strong>of</strong> staff; use <strong>of</strong><br />

standardized data collection and metrics; involvement <strong>of</strong> strategic partners<br />

with aligned goals at the national and local level; support by relevant NCI<br />

experts; and sharing best practices across a learning collaborative. The<br />

NCCCP disparities model was used in a variety <strong>of</strong> community settings<br />

targeting different underserved populations and has demonstrated effect in<br />

care in the respective communities.<br />

6088 General Poster Session (Board #7E), Mon, 1:15 PM-5:15 PM<br />

Beyond the performance rate: Understanding differences in treatment<br />

status using the Rapid Quality Reporting System (RQRS). Presenting<br />

Author: Erica J. McNamara, Commission on Cancer, <strong>American</strong> College <strong>of</strong><br />

Surgeons, Chicago, IL<br />

Background: RQRS is a cancer registry based tool for rapid case ascertainment<br />

and real-time care tracking using 5 National Quality Forum approved<br />

quality measures for breast (BC) and colon cancer (CC) and 1 <strong>American</strong><br />

<strong>Society</strong> <strong>of</strong> <strong>Clinical</strong> Oncology, National Comprehensive Cancer Network and<br />

Commission on Cancer (CoC) endorsed rectal cancer (RC) measure. RQRS<br />

was introduced in 2009 for testing at selected CoC accredited programs.<br />

The purpose <strong>of</strong> this study was to evaluate the proportion <strong>of</strong> cases with<br />

treatment administered for 4 measures where care is concordant with<br />

treatment either “administered” or “considered but not administered”<br />

(CNA). Methods: Case information on 19,631 breast, colon and rectal<br />

cancer patients diagnosed from 2009 – 2010 submitted by 64 RQRS<br />

participating sites were reviewed for 4 measures: (1) hormone therapy<br />

within 1 year <strong>of</strong> diagnosis (dx) for AJCC T1c, N0M0, or stage II or II;<br />

hormone receptor positive BC (HT), (2) multi-agent chemotherapy within 4<br />

months <strong>of</strong> dx; age � 70; hormone receptor negative BC (MAC), (3) adjuvant<br />

chemotherapy within 4 months <strong>of</strong> dx; age �80; AJCC Stage III CC (ACT),<br />

and (4) radiation therapy within 6 months <strong>of</strong> dx; age �80; AJCC T4N0M0<br />

or stage III patients receiving surgical resection for RC (AdjRT). Treatment<br />

status was defined as concordant (administered or CNA) or non-concordant<br />

(NC – not part <strong>of</strong> planned first course therapy or received after required time<br />

frame). Patient demographics and Charlson-Deyo (CD) co-morbidity scores<br />

were compared by concordance status using Chi-square tests. Results: The<br />

aggregate concordance rate was 83.3%. Among these 889 (5.4%) were<br />

CNA. Co-morbidity score was � 0 for 15% <strong>of</strong> cases. Patients age � 70, with<br />

Medicare insurance, CD score � 0 were significantly more likely to be CNA<br />

compared to completed or NC. Patient choice was the most common reason<br />

for CNA (64%). Conclusions: Among patients treated at RQRS test sites for<br />

which RQRS measures applied and care was concordant, only 5% were<br />

CNA. Patients over age 70 or with CD � 0 were more likely to have<br />

treatment CNA. Inclusion <strong>of</strong> CNA as concordant care has a minor impact on<br />

concordance rates and provides cancer programs with important information<br />

for targeting care review and quality improvement programs.<br />

Visit abstract.asco.org and search by abstract for the full list <strong>of</strong> abstract authors and their disclosure information.

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