Annual Meeting Proceedings Part 1 - American Society of Clinical ...
Annual Meeting Proceedings Part 1 - American Society of Clinical ...
Annual Meeting Proceedings Part 1 - American Society of Clinical ...
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402s Health Services Research<br />
6081 General Poster Session (Board #6F), Mon, 1:15 PM-5:15 PM<br />
Physician age and surveillance intensity following curative-intent treatment<br />
for breast cancer patients. Presenting Author: Steven F. Abboud,<br />
Saint Louis University , St. Louis, MO<br />
Background: Breast carcinoma is a large health care concern for patients,<br />
physicians, and society. 2.5 million women have been treated for breast<br />
cancer and are candidates for surveillance in the US. We have documented<br />
dramatic variation in post-treatment surveillance strategies utilized by<br />
ASCO experts caring for such patients. Since it is <strong>of</strong>ten asserted that<br />
younger physicians order more tests than older physicians, we sought to<br />
measure the effect <strong>of</strong> clinician age on post-treatment surveillance intensity<br />
for breast cancer patients by analyzing a recent survey <strong>of</strong> ASCO members.<br />
Methods: We surveyed the 3245 ASCO members who indicated that breast<br />
cancer treatment was a major focus <strong>of</strong> their practice. 4 succinct clinical<br />
vignettes describing generally healthy women with breast cancer <strong>of</strong> varying<br />
prognoses and a menu <strong>of</strong> 12 surveillance modalities were <strong>of</strong>fered. The<br />
menu was chosen after a literature search indicated that no other<br />
surveillance tests were commonly used. We analyzed data from one <strong>of</strong> the 4<br />
idealized vignettes only (the patient with TNM IIA carcinoma) and stratified<br />
responses by clinician age. Practice patterns were compared by years after<br />
completion <strong>of</strong> training (0-10, 11-20, 21-30, 30-40, �40 years), a<br />
surrogate measure <strong>of</strong> physician age. Statistical analysis employed ANOVA.<br />
Results: There were 1012 responses; 915 were evaluable. Statistically<br />
significant differences were observed across age strata for CBC, liver<br />
function tests (LFTs), and serum CEA level only. For example, ASCO<br />
clinicians in practice for 0-10 years after completion <strong>of</strong> training recommended<br />
CBCs 1.3 � 1.4 (mean � SD) times in year 1. Those � 40 years<br />
after completion <strong>of</strong> training recommended CBCs 2.4 � 1.3 times in year 1<br />
(p�0.001). Conclusions: Younger physicians recommend statistically significantly<br />
fewer CBCs, LFTs, and serum CEA levels during post-treatment<br />
surveillance than older physicians. However, the magnitude <strong>of</strong> the difference<br />
is clinically small for all 3 modalities and does not explain the known<br />
overall variation in surveillance practice among clinically active experts.<br />
6083 General Poster Session (Board #6H), Mon, 1:15 PM-5:15 PM<br />
Chemotherapy in the oldest old: The feasibility <strong>of</strong> cytotoxic therapy in the<br />
80� population. Presenting Author: Shelly Sud, Division <strong>of</strong> Medical<br />
Oncology, The Ottawa Hospital Cancer Centre, Department <strong>of</strong> Medicine,<br />
University <strong>of</strong> Ottawa, Ottawa, ON, Canada<br />
Background: The incidence <strong>of</strong> most common malignancies increases with<br />
age. As life expectancy improves globally, more elderly cancer patients will<br />
be candidates for systemic therapy. There is little data investigating<br />
chemotherapy (CT) in those over 80 – the “oldest old”. Our hypothesis is<br />
that CT in the 80� population may be associated with significant toxicities<br />
and is therefore not feasible for many patients. Methods: A retrospective<br />
chart review was undertaken to report outcomes <strong>of</strong> patients �80 years old<br />
who initiated CT for solid tumors at the Ottawa Hospital Cancer Center<br />
between Nov. 2005 and Jan. 2010. Baseline data on patient demographics,<br />
cancer type and CT were collected. Primary endpoints included: rates<br />
<strong>of</strong> CT dose reduction, omission, delay and discontinuation due to toxicity,<br />
hospitalization and blood transfusion rates. Results: CT was initiated on<br />
212 occasions (32% lung, 31% GU, 24% GI, 13% other cancer). Median<br />
age was 83 (range 80-92) and 60% <strong>of</strong> patients were male. Where data were<br />
available, 60% had a good performance score (ECOG 0-1) and 63% were<br />
current or ex-smokers. 82% had Charlson risk index scores <strong>of</strong> �5, 37% had<br />
�6 baseline medications, 18% lived alone independently. At baseline,<br />
11% were anemic, 12% had leukocytosis, and 45% had impaired renal<br />
function (eGFR�60). Most patients had stage 4 disease (76%), were<br />
treated with palliative intent (75%) and were receiving first line CT (77%).<br />
Initial dose was adjusted in 34% <strong>of</strong> cases. Therapy was discontinued due to<br />
toxicity in 30% <strong>of</strong> cases, and 53% <strong>of</strong> patients required dose reduction,<br />
omission or delay. In 38% <strong>of</strong> cases, patients were hospitalized during their<br />
course <strong>of</strong> therapy or within 30 days there<strong>of</strong>. Blood transfusions were<br />
required in 24%. Factors associated with risk <strong>of</strong> hospitalization included<br />
baseline number <strong>of</strong> medications �6 (OR 1.96, 95% CI 1.1-3.5) and<br />
baseline anemia (OR 2.55, 95% CI 1.07-6.05). Initial dose reduction at<br />
cycle 1 did not significantly affect rates <strong>of</strong> hospitalization, transfusion or CT<br />
discontinuation. Conclusions: CT in the 80� population is associated with a<br />
significant risk <strong>of</strong> hospitalization, transfusion and discontinuation due to<br />
toxicity, even when doses are adjusted from the outset. We plan to<br />
prospectively validate these findings.<br />
6082 General Poster Session (Board #6G), Mon, 1:15 PM-5:15 PM<br />
Comparison <strong>of</strong> drug approval between health Canada (HC) and the U.S.<br />
Food and Drug Administration (FDA). Presenting Author: Doreen Ezeife,<br />
University <strong>of</strong> Calgary, Calgary, AB, Canada<br />
Background: Differences in drug approval processes between countries can<br />
impact patient access to new therapies. In Canada, patients can freely<br />
access a new treatment after regulatory approval by Health Canada (HC)<br />
followed by funding approval from the provincial government. The aims <strong>of</strong><br />
this study were to delineate the Canadian drug approval timeline and to<br />
compare the time to drug approval between HC and the US FDA. Methods:<br />
Cancer drugs approved by the FDA from 1989 to 2011 were reviewed. For<br />
each drug, the following endpoints were determined: publication date <strong>of</strong><br />
phase I and pivotal phase III trial, date <strong>of</strong> FDA and HC approval, HC<br />
submission date, and funding approval in Alberta (AB). Time intervals<br />
between the aforementioned endpoints were calculated. Results: Of 55<br />
FDA-approved drugs, 51 drugs are approved by HC with 40 <strong>of</strong> these drugs<br />
funded in AB. HC approval occurs an average <strong>of</strong> 14.4 months post FDA<br />
approval (95% CI -36.9 to 66.1, sign rank test p�0.0001). However, there<br />
was no significant difference between the mean time from Phase I to FDA<br />
approval (48.5 months; 95% CI 21.2 to 75.8) and Phase I to HC approval<br />
(61.5 months; 95% CI 32.4 to 90.5). Most drugs (74%) were approved by<br />
the FDA prior to publication <strong>of</strong> the phase III trial. There was a trend towards<br />
faster drug approval from Phase III to FDA approval compared to HC<br />
(-14.97 versus 0.1 months, p � 0.05). HC submission occurs before FDA<br />
drug approval 77% <strong>of</strong> the time (mean 3.0 months prior; 95%CI: -59.1 to<br />
43.4, p � 0.0206). HC approval occurs on average 17 months post HC<br />
submission. AB funding approval occurs on average 22 months after HC<br />
approval. The time interval from Phase I to AB funding approval was<br />
significantly shorter for targeted compared to cytotoxic agents (mean time<br />
58 vs. 120 months; p � 0.039). Conclusions: HC drug approval lags behind<br />
FDA approval by about 14 months. Time from Phase III to drug approval<br />
tends to be shorter for the FDA compared to HC. This is the first<br />
documentation, to our knowledge, <strong>of</strong> the time required to bring a drug from<br />
phase I trial to provincial funding approval.<br />
6084 General Poster Session (Board #7A), Mon, 1:15 PM-5:15 PM<br />
Does drug cost drive drug adherence? The designer drug phenomenon.<br />
Presenting Author: Jalal Ebrahim, St. Michael’s Hospital, University <strong>of</strong><br />
Toronto, Toronto, ON, Canada<br />
Background: Cancer patients (pts) are on many medications, both for<br />
malignancy and supportive therapies. The cost <strong>of</strong> oral medications are<br />
funded by either the pt, public, or private mechanisms. Low adherence<br />
rates are observed in oral treatments, and non-adherence is the primary<br />
cause <strong>of</strong> treatment failures. To our knowledge, cost-related adherence to<br />
oral therapy in the context <strong>of</strong> malignancy has not been studied extensively<br />
in the existing literature. We assessed the relationships between oral<br />
medication costs and adherence rates. Methods: This cohort study enrolled<br />
453 pts at 3 outpatient heme/onc clinics in the Greater Toronto Area. A<br />
7-item survey was designed to assess pt demographics, self-reported<br />
adherence to oral medication, type <strong>of</strong> drug coverage (private payer, public<br />
payer, self payer) and patients’ perceived cost <strong>of</strong> oral drugs. Oral medications<br />
were recorded and actual monthly costs were calculated. Descriptive<br />
statistics were used to describe frequencies. Spearman Rank Order<br />
Correlations and Chi-Square Analyses were used to examine relationships<br />
between variables. Results: Of 453 pts, 50% had a private drug plan, 24%<br />
paid out <strong>of</strong> pocket, 44% had government funding and 4% reported their<br />
physician had arranged funding. 51% <strong>of</strong> pts had oral drug costs <strong>of</strong> �<br />
$100/month. Self reported adherence to prescribed oral medications was<br />
80%. As the cost <strong>of</strong> prescribed medications increased, so did self reported<br />
adherence (r�0.144, p�0.002). There was also a significant relationship<br />
between drug coverage and oral drug costs (c²�23.78, df�12, p�0.02).<br />
Pts paying out <strong>of</strong> pocket were significantly less likely than all other pts to<br />
have oral drug costs <strong>of</strong> �$500/month (11% vs 19%) Conclusions: As oral<br />
drug costs increase, so does likelihood <strong>of</strong> adhering to prescribed regimen.<br />
This implies that further pt education about the efficacy and importance <strong>of</strong><br />
medications may help with adherence, regardless <strong>of</strong> cost. It is possible that<br />
pts are provided with more education regarding newer and more expensive<br />
agents than they are regarding older and cheaper agents, regardless <strong>of</strong><br />
efficacy. Disparities observed in medication costs between those with<br />
private drug plans vs. those without suggests financial restrictions may<br />
affect prescription patterns in this group.<br />
Visit abstract.asco.org and search by abstract for the full list <strong>of</strong> abstract authors and their disclosure information.