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

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6020 Poster Discussion Session (Board #8), Tue, 8:00 AM-12:00 PM and<br />

11:30 AM-12:30 PM<br />

A critical evaluation <strong>of</strong> oncology clinical practice guidelines. Presenting<br />

Author: Bradley Norman Reames, University <strong>of</strong> Michigan, Ann Arbor, MI<br />

Background: <strong>Clinical</strong> Practice Guidelines (CPGs) play an essential role in<br />

cancer care today, but there are significant concerns regarding their<br />

content and reliability. In 2011, the Institute <strong>of</strong> Medicine (IOM) report<br />

“<strong>Clinical</strong> Practice Guidelines We Can Trust” created standards for developing<br />

trustworthy CPGs. Using these standards as a benchmark, we sought to<br />

evaluate recent oncology guidelines. Methods: CPGs and consensus statements<br />

addressing the screening, evaluation or management <strong>of</strong> the four<br />

leading causes <strong>of</strong> cancer-related mortality in the US (non-small cell lung,<br />

breast, prostate and colorectal cancers) published between January 2005<br />

and December 2010 were identified using MEDLINE. A standardized<br />

scoring system based on the eight standards set forth by the IOM was<br />

devised, and the methodology, content and disclosure policies <strong>of</strong> CPGs<br />

were critically evaluated by four independent reviewers. All CPGs were<br />

given two scores; points were awarded out <strong>of</strong> a possible 8 major criteria and<br />

20 sub-criteria. Results: We identified 168 CPGs for inclusion in the study;<br />

45% were from US groups. None <strong>of</strong> the CPGs fully met all the IOM<br />

standards. On average, CPGs only met 2.8 <strong>of</strong> 8 standards set forth by the<br />

IOM (mean 2.8 points out <strong>of</strong> 8, SD 1.7; 8.3 out <strong>of</strong> 20, SD 4.3). Less than<br />

half <strong>of</strong> CPGs were based on a systematic review. Only half <strong>of</strong> CPG panels<br />

addressed conflicts <strong>of</strong> interest. Overall, the CPGs were most consistent with<br />

IOM standards for transparency regarding the development process,<br />

articulation <strong>of</strong> recommendations, and use <strong>of</strong> external review. Most did not<br />

comply with standards for inclusion <strong>of</strong> patient and public involvement in<br />

the development or review process, nor did they specify their process for<br />

updating. CPGs from the US had higher overall scores than CPGs from<br />

international groups. CPGs addressing non-small cell lung cancer had<br />

higher overall scores (mean 3.9) than those for other cancers. Conclusions:<br />

The vast majority <strong>of</strong> oncology CPGs fails to meet the IOM standards for<br />

trustworthy guidelines. Notably, most CPGs are not based on systematic<br />

reviews, lack full disclosure, and do not include all relevant stakeholders in<br />

the guideline process. This highlights the need for improved CPG development<br />

processes.<br />

6022 Poster Discussion Session (Board #10), Tue, 8:00 AM-12:00 PM and<br />

11:30 AM-12:30 PM<br />

Trade-<strong>of</strong>fs associated with axillary lymph node dissection: Implications <strong>of</strong><br />

the eligibility versus enrollment in ACOSOG Z0011. Presenting Author:<br />

Monica Shalini Krishnan, Harvard Radiation Oncology Program, Boston,<br />

MA<br />

Background: Results from ACOSOG Z0011 suggest axillary lymph node<br />

dissection (ALND) may not be necessary for patients following positive<br />

sentinel lymph node biopsy (SLNB). Concerns have been raised regarding<br />

generalizability <strong>of</strong> this trial, given the low-risk patient population. It is<br />

uncertain whether a subgroup who would have been eligible for ACOSOG<br />

Z0011 but were not adequately represented in the study may still benefit<br />

from ALND. Methods: We constructed a decision analysis using a Monte<br />

Carlo model to simulate axillary recurrence risk, lymphedema, and quality<br />

<strong>of</strong> life <strong>of</strong> women aged 45, 55 and 75 y/o with Stage II cancers following<br />

breast conserving surgery (BCS) with positive SLNB who were then treated<br />

with ALND and whole-breast radiation (BRT) or BRT alone. Women were<br />

divided into two risk groups based on the Memorial Sloan-Kettering Cancer<br />

Center non-sentinel lymph node (NSLN) nomogram: those with risk <strong>of</strong><br />

residual nodal involvement <strong>of</strong> 30-60% (high risk); and those with risk less<br />

than 30% (low risk, similar to the Z0011 patients). Probabilities and<br />

utilities for health states were derived from prior studies. Results: BRT alone<br />

resulted in improved quality-adjusted life expectancy (QALE) in the<br />

low-risk group, while ALND with BRT resulted in improved QALE in the<br />

high-risk group. Overall survival (OS) was similar at 5 years with both<br />

treatment strategies in both groups but was superior with ALND at 20 years<br />

in the high risk group (Table). Differences in outcomes decreased with<br />

increasing age. In the low-risk group, sensitivity analysis showed BRT alone<br />

is preferred unless the axillary recurrence risk with BRT is greater than<br />

1.6% or the lymphedema risk with ALND is less than 10%. In the high-risk<br />

group, ALND with BRT is the preferred strategy unless the axillary<br />

recurrence risk with BRT is less than 2.3%. Conclusions: Patients who<br />

would have been eligible for ACOSOG Z0011 but are at higher risk <strong>of</strong> having<br />

residual nodal disease following BCS and positive SLNB may benefit from<br />

ALND plus BRT rather than BRT alone.<br />

Overall survival and QALE in 55 y/o women.<br />

5 yr OS 20 yr OS QALE (yrs)<br />

BRT ALND BRT ALND BRT ALND<br />

Low risk (NSLN 0-30%) 88% 88% 47% 47% 15.53 15.46<br />

High risk (NSLN 31-60%) 86% 86% 38% 42% 13.55 14.36<br />

Health Services Research<br />

6021 Poster Discussion Session (Board #9), Tue, 8:00 AM-12:00 PM and<br />

11:30 AM-12:30 PM<br />

Cancer patients’ trade-<strong>of</strong>fs for efficacy, toxicity, and cost. Presenting<br />

Author: Yu-Ning Wong, Fox Chase Cancer Center, Philadelphia, PA<br />

Background: When making treatment decisions, cancer patients (pts) must<br />

make trade-<strong>of</strong>fs between efficacy, toxicity (tox) and cost. However, little is<br />

known about how individual characteristics influence these decisions,<br />

particularly as many face high out <strong>of</strong> pocket costs. Methods: We presented<br />

cancer pts with hypothetical scenarios that asked them to choose between<br />

2 treatments <strong>of</strong> varying levels <strong>of</strong> efficacy, tox and cost. Each scenario<br />

included 9 choice pairs. Pts were given 2 <strong>of</strong> 3 scenarios described in the<br />

Table. Tox was also varied. Demographics, cost concerns and numeracy<br />

were assessed. Within each scenario, we used latent class methods to<br />

distinguish pt groups with discrete preferences. We then used regressions<br />

with group membership probabilities as covariates to identify associations.<br />

Results: We enrolled 400 pts. Median age was 61 years (range 27-90). 63%<br />

were female. 41% were college educated. 51% had an annual income<br />

�$60K. 25% were enrolled at a community hospital. 98% were insured.<br />

Within each <strong>of</strong> the 3 scenarios, we identified 3 pt classes with preferences<br />

for survival or aversion to high cost or toxicity. Across each <strong>of</strong> the scenarios,<br />

�6% <strong>of</strong> pts in the group averse to high cost chose the costlier treatment.<br />

�92% <strong>of</strong> pts in the group that favored survival chose the highest efficacy<br />

treatment. �65% <strong>of</strong> pts in the group with aversion to tox chose the lower<br />

tox treatment. Within each <strong>of</strong> the scenarios, pts in the group with<br />

preference for survival were more likely to have an income <strong>of</strong> �$60K<br />

(p�.05) and greater numeracy skills (p�.05). In scenarios 2 and 3, pts<br />

with concerns about treatment costs were more likely to be in the class that<br />

was averse to high cost (p�.05 for both). Conclusions: Even in hypothetical<br />

scenarios presented to insured pts, socioeconomic status was predictive <strong>of</strong><br />

treatment choice. Higher income pts may be more likely to focus on survival<br />

when making decisions while those with greater cost concerns may be more<br />

likely to avoid costly treatment, regardless <strong>of</strong> survival or tox. This raises the<br />

possibility that health plans with greater cost-sharing may have the<br />

unintended consequence <strong>of</strong> increasing disparities in care.<br />

Efficacy Range <strong>of</strong> costs<br />

1 DFS 86% vs 73% $500-$10,000 over 6 m<br />

2 DFS 73% vs 67% $250- $6,000 over 6 m<br />

3 2 yr survival 23% vs 15% $60 - $800 every 3 wk<br />

6023 Poster Discussion Session (Board #11), Tue, 8:00 AM-12:00 PM and<br />

11:30 AM-12:30 PM<br />

The involvement <strong>of</strong> partners in breast cancer treatment decision making.<br />

Presenting Author: Sarah T. Hawley, University <strong>of</strong> Michigan, Ann Arbor, MI<br />

Background: Incorporating partners into treatment decision making is an<br />

important element <strong>of</strong> patient-centered care, yet little is known about the<br />

role <strong>of</strong> partners in the decision process. Methods: We surveyed 503 partners<br />

<strong>of</strong> a population-based sample <strong>of</strong> breast cancer survivor 4 years after<br />

diagnosis (RR� 76%, N�382).The outcome was partners’ reports <strong>of</strong><br />

decision regret. Independent variables included decision making process<br />

measures (partners’ reports <strong>of</strong> sufficient treatment information receipt and<br />

sufficient involvement in decision making), race/ethnicity, age, education<br />

and income. Multivariable logistic regression was used to assess associations<br />

between decision regret and race/ethnicity, controlling for other<br />

variables. Results: 49% <strong>of</strong> partners were white, 14% African <strong>American</strong>,<br />

15% more-acculturated Latino, and 18% less-acculturated Latino. One<br />

quarter (26%) <strong>of</strong> partners reported that they received insufficient information<br />

and one third (35%) desired more involvement in decision-making.<br />

Compared to whites, less-acculturated Latino partners more <strong>of</strong>ten reported<br />

that they received insufficient information (41% vs. 18%, p�0.05) and<br />

desired more involvement in decision-making (49% vs. 14%, p�0.001).<br />

Overall 30% <strong>of</strong> partners reported high decision regret. Multivariate analyses<br />

showed factors associated with high decision regret were lessacculturated<br />

Latinos, insufficient information receipt and desire for more<br />

involvement (Table). Conclusions: Most partners <strong>of</strong> breast cancer survivors<br />

reported low decision regret and positively appraised their involvement in<br />

the decision process. Less acculturated Latinos reported more dissatisfaction<br />

with the decision process. Findings suggest the need for culturally<br />

appropriate treatment decision support interventions that include partners.<br />

Factors associated with high decision regret<br />

Race/ethnicity<br />

White<br />

African <strong>American</strong><br />

Latino–more acculturated<br />

Latino–less acculturated<br />

Sufficient information<br />

Yes<br />

No<br />

Sufficient involvement<br />

Yes<br />

No<br />

Controlled for age, education, and income.<br />

387s<br />

OR (95%CI)<br />

N�382<br />

1.00<br />

1.34 (0.58-3.12)<br />

1.82 (0.78-4.27)<br />

2.43 (1.00-5.89)<br />

1.00<br />

2.33 (1.25-4.31)<br />

1.00<br />

1.91 (1.04-3.48)<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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