Survival of Patients with Chronic Myelocytic Leukemia:Comparisons of Estimates From Clinical Trial Settings and Population-Based Cancer Registrtation.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 899-899
Author(s):  
Dianne Pulte ◽  
Adam Gondos ◽  
Teresa Redaniel ◽  
Hermann Brenner

Abstract Abstract 899 Background: The gold standard for determination of the superiority of new treatments is the clinical trial. However, patients in clinical trials tend to be “ideal patients”, i.e. are otherwise healthy except for the condition being examined, have good performance status, may be younger than the average patient with the disease under study, etc, and thus results from clinical trials may not pertain to all patients in the general population. Five year survival for patients with chronic myelocytic leukemic (CML) in recent clinical trials are as high as 95%. However, population based studies of CML show much lower 5-year survival rates. In this study, we compare survival in clinical trials to survival for patients identified from the SEER database as being diagnosed with CML during the same years as the relevant trial was recruiting patients. Methods: We examined survival of patients in randomized controlled trials of treatment of CML between 1980 and 2005 and compared the survival data obtained in these trials to survival of CML patients in the general population of the United States using the Surveillance, Epidemiology, and End Results (SEER) database in the same years as the years of recruitment for the trial. Because age may be a factor in survival, we also calculated age adapted survival for patients in the SEER database for each trial by calculating survival for patients of the same age as the age range given in the trial or for a fifty year interval centered around the median age of patients in the relevant trial. Results: 27 trials were identified for data extraction. Median age on clinical trials varied from 37 to 60, whereas the median age of CML patients in the SEER database was 62. The majority of trials recruited patients with chronic phase only. Two trials of patients in accelerated phase were identified. Five year survival on the clinical trials ranged from 30-40% in the earliest trials to 89% for the first trials of imatinib. Five year survival for patients in the general population over the same time period ranged from 22.2% in 1980-87 to 42.7% in 2000-01. Age adapted survival ranged from 26% to 60%. Overall 5-year survival calculated from the SEER database was uniformly lower than survival in clinical trials in the corresponding time period, although age adapted survival overlapped with survival in clinical trials in some cases (see figure). In general, survival from the SEER database was much lower than survival in the corresponding trial for trials of hematopoietic stem cell transplant or interferon and relatively close to that observed in clinical trials after age adaptation for other treatment types. Discussion: Survival in clinical trials of treatment for CML is higher than survival of patients with CML in the general population. The difference can be attributed to access to newer medications, a bias toward selecting younger, healthier patients for clinical trials, the requirement in most trials that patients be in the chronic phase of the disease, and time necessary for new treatments identified as superior by clinical trials to be adopted by practitioners. In particular, the difference in survival was larger for trials of more difficult to tolerate treatments such as interferon or stem cell transplantation. This finding underscores the need for population based studies to give a more realistic idea of survival of patients with a given malignancy in the general population. The inclusion of a more diverse patient population in clinical trials, including older and less fit patients, may reduce the disparity. Figure legend: Five year survival for patients in clinical trials (squares) and age adapted survival for patients in the SEER database (triangles.) In trials in which survival was different between treatment types, the bold squares represent the higher survival value, the lighter the lower survival. Date on the x-axis represents the middle year of recruitment for the trial. When the middle year of recruitment was the same for more than one trial, the values are staggered for clarity. Disclosures: No relevant conflicts of interest to declare.

Author(s):  
Perry Nisen ◽  
Patrick Vallance

Clinical trials are the bedrock of evidence-based medicine. Introduced in the mid 20th century, they heralded a move away from opinion and anecdote to a more scientific evaluation of new treatments. Indeed, it could be argued that it is the clinical trial and the application of scientific method to determine which treatments work that distinguishes ‘medicine’ from ‘alternative medicine’. The aim of this short section is to outline the way in which clinical trials are likely to evolve over the next few years....


2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Dallas Wood ◽  
Katherine Kosa ◽  
Derek Brown ◽  
Orna G Ehrlich ◽  
Peter D R Higgins ◽  
...  

Abstract Background Clinical trial recruitment is the rate-limiting step in developing new treatments. To understand inflammatory bowel disease (IBD) patient recruitment, we investigated two questions: Do changes in clinical trial attributes, like monetary compensation, influence recruitment rates, and does this influence differ across subgroups? Methods We answered these questions through a conjoint survey of 949 adult IBD patients. Results Recruitment rates are influenced by trial attributes: small but significant increases are predicted with lower placebo rates, reduced number of endoscopies, less time commitment, open label extension, and increased involvement of participant’s primary GI physician. A much stronger effect was found with increased monetary compensation. Latent class analysis indicated three patient subgroups: some patients quite willing to participate in IBD trials, some quite reluctant, and others who can be persuaded. The persuadable group is quite sensitive to monetary compensation, and payments up to US$2,000 for a 1-year study could significantly increase recruitment rates for IBD clinical trials. Conclusions This innovative study provides researchers with a framework for predicting recruitment rates for different IBD clinical trials.


BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Christina Boegh Jakobsen ◽  
Morten Lamberts ◽  
Nicholas Carlson ◽  
Morten Lock-Hansen ◽  
Christian Torp-Pedersen ◽  
...  

Abstract Background The prevalence of both atrial fibrillation (AF) and malignancies are increasing in the elderly, but incidences of new onset AF in different cancer subtypes are not well described.The objectives of this study were therefore to determine the incidence of AF in different cancer subtypes and to examine the association of cancer and future AF. Methods Using national databases, the Danish general population was followed from 2000 until 2012. Every individual aged > 18 years and with no history of cancer or AF prior to study start was included. Incidence rates of new onset AF were identified and incidence rate ratios (IRRs) of AF in cancer patients were calculated in an adjusted Poisson regression model. Results A total of 4,324,545 individuals were included in the study. Cancer was diagnosed in 316,040 patients. The median age of the cancer population was 67.0 year and 51.5% were females. Incidences of AF were increased in all subtypes of cancer. For overall cancer, the incidence was 17.4 per 1000 person years (PY) vs 3.7 per 1000 PY in the general population and the difference increased with age. The covariate adjusted IRR for AF in overall cancer was 1.46 (95% confidence interval (CI) 1.44–1.48). The strength of the association declined with time from cancer diagnosis (IRR0-90days = 3.41 (3.29–3.54), (IRR-180 days-1 year = 1.57 (CI 1.50–1.64) and (IRR2–5 years = 1.12 (CI 1.09–1.15). Conclusions In this nationwide cohort study we observed that all major cancer subtypes were associated with an increased incidence of AF. Further, cancer and AF might be independently associated.


Author(s):  
Clara Zundel ◽  
Maxine Krengel ◽  
Timothy Heeren ◽  
Megan Yee ◽  
Claudia Grasso ◽  
...  

Prevalence of nine chronic medical conditions in the population-based Ft. Devens Cohort (FDC) of GW veterans were compared with the population-based 2013–2014 National Health and Nutrition Examination Survey (NHANES) cohort. Excess prevalence was calculated as the difference in prevalence estimates from the Ft. Devens and NHANES cohorts; and confidence intervals and p-values are based on the standard errors for the two prevalence estimates. FDC males were at increased risk for reporting seven chronic medical conditions compared with NHANES males. FDC females were at decreased risk for high blood pressure and increased risk for diabetes when compared with NHANES females. FDC veterans reporting war-related chemical weapons exposure showed higher risk of high blood pressure; diabetes; arthritis and chronic bronchitis while those reporting taking anti-nerve gas pills had increased risk of heart attack and diabetes. GW veterans are at higher risk of chronic conditions than the general population and these risks are associated with self-reported toxicant exposures.


2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 6529-6529
Author(s):  
J. Wright ◽  
T. Whelan ◽  
J. Julian ◽  
M. Simunovic ◽  
M. Levine

6529 Background: The overall proportion of cancer patients enrolled into clinical trials is undesirably low. Research suggests many aspects of the recruitment process can be improved. The present study was undertaken to evaluate the benefit of identifying potentially eligible (PE) clinical trial patients for physicians. Methods: Consenting physicians were randomized to 26 weeks of screening support or not, and were then crossed-over to the other strategy for a second 26-week time period. A computer program reviewed new patient consultations to identify PE clinical trial patients. Physicians receiving support were provided with written individualized details of patient eligibility for trials prior to their medical consultation. The primary outcome of interest was the difference, by physician, in the number of patients who were approached for consent to enter a clinical trial. Results: Thirty-six physicians participated in the 52-week study. 5051 consultations were screened in a blinded fashion, 2,376 when physicians had support and 2,675 when they did not. 939 of 2,376 (39.5%) consultations were identified as involving PE patients when physicians were receiving support, and 1,061 of 2,675 (39.7%) when without. The primary outcome of the study, by physician, did not demonstrate a statistically significant improvement, with 4.1 patients per physician without vs. 4.7 patients with screening support (p>0.05). Secondary analysis demonstrated that the overall proportion of patients approached with the clinical trial option increased from 149/2,675 (5.6%) to 169/2,376 (7.1%) with screening support (Chi-square, p=0.024) and that the number of patients that entered a clinical trial also increased from 60/2,675 (2.2%) to 83/2,376 (3.5%) (Chi-square, p=0.007). Conclusions: This study suggests that individualized patient screening for clinical trial eligibility may be useful to improve the numbers of patients approached to consider clinical trials. The number of new patients that entered clinical trials remained low, and ongoing research to facilitate improvements is required. No significant financial relationships to disclose.


2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e17571-e17571
Author(s):  
Shayna Eliana Rich ◽  
Nancy Price Mendenhall

e17571 Background: Improvements in cancer treatment require significant patient involvement in research, which may be particularly limited for new technologies such as proton radiation therapy. Studies with biased referrals or enrollment may not be generalizable to a general population. This study examines the reasons why patients were not offered or refused enrollment in clinical trials at the University of Florida Proton Therapy Institute (UFPTI). Methods: All patients seen at UFPTI between April-October 2012 for proton therapy for tumor sites with a clinical trial available (N=463) had information collected prospectively regarding whether they were offered enrollment and consented for clinical trials, and the reasons for each decision. The majority of patients had already secured funding for proton therapy. Results: Seven percent (34/463) of patients were ineligible for an available clinical trial, due to study exclusion criteria, concerns for patient safety based on comorbidity, or concerns for data integrity (e.g., other non-skin cancer within five years). Only 3% (9/275) of eligible patients were not offered a clinical trial. Forty-four percent (99/226) of patients offered a clinical trial refused. The most common reasons for refusal included: discomfort with lack of mature data, dislike of protocol, fear that protocol is not best option for disease control, and fear of side effects. Although UFPTI treats a variety of malignancies, the overwhelming majority of those who refused consent were prostate adenocarcinoma patients, who often self-referred for proton therapy. Conclusions: Despite near universal availability of clinical trials at UFPTI, less than half of patients enroll in clinical trials. The greatest factor for non-enrollment appears to be patient acceptance. Despite the availability of non-randomized trials with fairly standard treatment approaches, 44% refused to enroll on clinical trials, suggesting discomfort for less well documented treatment approaches. Further studies should examine whether findings are similar among all US cancer patients, as patients seeking proton therapy may not resemble the general population.


2006 ◽  
Vol 33 (5) ◽  
pp. 664-676 ◽  
Author(s):  
Patricia M. Herman ◽  
Linda K. Larkey

Although Latinos now comprise the largest minority in the U.S. population, they continue to be seriously underrepresented in clinical trials. A nonrandomized controlled study of an innovative community-developed clinical trial and breast cancer education program targeting Latinas tested whether use of an art-based curriculum could increase willingness to enroll in six clinical trial scenarios and increase breast health and clinical trial knowledge. The art-based curriculum resulted in a larger increase in stated willingness to enroll across all clinical trial scenarios, and the difference was statistically significant ( p < .05) in three. Breast health and clinical trials knowledge increased similarly and significantly for both groups. The results of this study show promise for the use of a community-developed art-based curriculum in the Latina population to increase willingness to enroll in clinical trials.


2021 ◽  
Author(s):  
Debaprasad Mukherjee

Immuno-Charge is an application that focuses on collecting clinical data forclinical trial purposes and helps to fix appointments for vaccination. The application acts asa bridge between the user and pharmaceutical company as it provides required data to thecompany and provides an easy interface to use, both for user and company. It also keepsrecords and track of vaccines taken by users. Users must fill in the data that is provided tothem in a question-and-answer format. The limitation is that the authentication of the user'smedical data &amp; symptoms is not done. The progress of immunization can be a long, complexprocess that regularly lasts 10-15 years and includes a combination of public and privateenterprise involvement. Vaccines are designed, tested, and directed in a really similar way toother drugs. Clinical trials are research studies or observations done in clinical research.Such planned biomedical or behavioral studies on human members are designed to answerspecific questions about biomedical or behavioral interventions, including new treatments(such as novel vaccines, drugs etc) and known intercessions that warrant encouragingthought about and comparison. Clinical studies provide information about measurement,safety, and feasibility.


Author(s):  
Philip Wiffen ◽  
Marc Mitchell ◽  
Melanie Snelling ◽  
Nicola Stoner

Clinical trial regulations 108Licensing of a clinical trial 109Clinical trial development phases 110Trial design, randomization, and blinding 111European Clinical Trials Directive 112Clinical trials: hospital pharmacy guidance 114Ethical committees 116Clinical trials form a fundamental part in the research, development, and licensing of new medicines. Research of how the drug interacts in humans is essential to ensure safe and effective medicines are licensed as new treatments. It is an exciting and varied role at the cutting edge of modern research with trials ranging across all therapeutic specialities. Clinical Trial pharmacists are therefore required to have a broad clinical knowledge and a specialist knowledge of the regulations that clinical trials have to follow....


JAMIA Open ◽  
2019 ◽  
Vol 2 (4) ◽  
pp. 521-527
Author(s):  
George Karystianis ◽  
Oscar Florez-Vargas ◽  
Tony Butler ◽  
Goran Nenadic

Abstract Objective Achieving unbiased recognition of eligible patients for clinical trials from their narrative longitudinal clinical records can be time consuming. We describe and evaluate a knowledge-driven method that identifies whether a patient meets a selected set of 13 eligibility clinical trial criteria from their longitudinal clinical records, which was one of the tasks of the 2018 National NLP Clinical Challenges. Materials and Methods The approach developed uses rules combined with manually crafted dictionaries that characterize the domain. The rules are based on common syntactical patterns observed in text indicating or describing explicitly a criterion. Certain criteria were classified as “met” only when they occurred within a designated time period prior to the most recent narrative of a patient record and were dealt through their position in text. Results The system was applied to an evaluation set of 86 unseen clinical records and achieved a microaverage F1-score of 89.1% (with a micro F1-score of 87.0% and 91.2% for the patients that met and did not meet the criteria, respectively). Most criteria returned reliable results (drug abuse, 92.5%; Hba1c, 91.3%) while few (eg, advanced coronary artery disease, 72.0%; myocardial infarction within 6 months of the most recent narrative, 47.5%) proved challenging enough. Conclusion Overall, the results are encouraging and indicate that automated text mining methods can be used to process clinical records to recognize whether a patient meets a set of clinical trial criteria and could be leveraged to reduce the workload of humans screening patients for trials.


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