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  • 1
    Online Resource
    Online Resource
    Public Library of Science (PLoS) ; 2015
    In:  PLOS ONE Vol. 10, No. 8 ( 2015-8-4), p. e0134038-
    In: PLOS ONE, Public Library of Science (PLoS), Vol. 10, No. 8 ( 2015-8-4), p. e0134038-
    Type of Medium: Online Resource
    ISSN: 1932-6203
    Language: English
    Publisher: Public Library of Science (PLoS)
    Publication Date: 2015
    detail.hit.zdb_id: 2267670-3
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  • 2
    In: Journal of Urology, Ovid Technologies (Wolters Kluwer Health), Vol. 187, No. 4S ( 2012-04)
    Type of Medium: Online Resource
    ISSN: 0022-5347 , 1527-3792
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2012
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  • 3
    Online Resource
    Online Resource
    American Medical Association (AMA) ; 2000
    In:  Archives of Internal Medicine Vol. 160, No. 11 ( 2000-06-12), p. 1630-
    In: Archives of Internal Medicine, American Medical Association (AMA), Vol. 160, No. 11 ( 2000-06-12), p. 1630-
    Type of Medium: Online Resource
    ISSN: 0003-9926
    RVK:
    Language: English
    Publisher: American Medical Association (AMA)
    Publication Date: 2000
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  • 4
    In: Blood, American Society of Hematology, Vol. 112, No. 11 ( 2008-11-16), p. 671-671
    Abstract: Background: When randomized clinical trials (RCTs) are conducted there should be some reasonable expectations that the trials will provide the answer to the questions they were design to address. Failure to do so i.e. completing trials that will result in inconclusive results represents an avoidable waste of precious resources and ethical breach of contracts with patients who expect that definitive answers will help future patients. Two main factors are thought to be responsible for generating inconclusive findings in clinical research: poor patient accrual and expectation bias or ‘optimism bias’ - an unwarranted belief in the efficacy of new therapies. (Lancet.2006; 367:449) Objectives: Our objective was to determine which of the two factors, poor patient accrual or expectation bias, is the main culprit for producing inconclusive clinical research results in the trials focusing on hematological cancers. Methods: We extracted data from the original protocols and publications related to 210 hematological cancer trials conducted by the 8 NCI sponsored Cooperative Groups conducted and published from year 1955 to 1998. A priori effect size used in the power calculation for the trial’s pre-defined primary outcome (expected differences) was compared with those observed in the final reports. All treatment effects were expressed as either HR [hazard ratio] or OR [odds ratio] . We also analyzed the planned accrual vs. actual patient accrual. The question whether “negative”/inconclusive i.e. statistically non-significant results were due to poor accrual or due to “optimism” bias was addressed. We defined inconclusive results as those in which treatment was consistent with no difference between treatment effects, or experimental treatment being superior to the standard treatments, or vice verse. Operationally, this was defined as the point estimate of the treatment effect and its 95% confidence intervals (CI) crossing the lines of equivalence on either side of the no-treatment effect from 0.77 to 1.3. Results: Data on primary outcomes were available for 105 out of 210 total hematological cancer studies. 71% of the studies had non-significant results (75/105). The vast majority of these trials (92%, 69/75) were inconclusive i.e. 95% CI of their treatments had crossed both limits of equivalence. Overall, the investigators enrolled more patients than actually planned [Nplanned: median: 220, mean: 280, range: 40–1100; Nactual: median: 250, mean: 336, range: 40–1606; p=0.1203]. However, the expected effect size was considerably greater than actually observed differences in treatment effects: [Expected: mean=47% (range: 17% to 74%) vs. Observed: mean=12% (range: −88% to 83%; p=0.000). The median ratio between the expected and the observed HR/OR was 1.77 [range: 0.34–6.41] , meaning that observed HR/OR fell short of the expected HR/OR values by 1.77 times on average. Conclusion: Unrealistic expectations in treatment effects appear to be a major culprit for continuing generation of large number of “negative”/inconclusive results in the field of hematological malignancies.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2008
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 5
    In: Blood, American Society of Hematology, Vol. 116, No. 21 ( 2010-11-19), p. 3995-3995
    Abstract: Abstract 3995 Background: Azacitidine (5-AzaC) and decitabine (DAC) are two hypomethylating agents commonly used in treatment of Myelodysplastic Syndromes (MDS). The comparative effectiveness of 5-AzaC versus DAC is not known. Both agents have been tested against supportive care in controlled settings, but not head-to-head. The most comprehensive assessment of the efficacy of 5-AzaC versus DAC was done by Kumar et al. (Haematologica95: 340-2) by performing an indirect meta-analysis using data from controlled trials, RCTs. The real world effectiveness of the 5-Aza-C versus DAC has not been evaluated. In response, we have performed a comparative effectiveness study of 5-AzaC versus DAC for treatment of MDS. Methods: All MDS patients treated with 5-AzaC or DAC at Moffitt Cancer Center from December 1999 to December 2009 were included in the analysis. Benefits and harms associated with 5-AzaC and DAC were assessed. The primary outcome was overall survival, OS. The secondary outcomes were progression free survival (PFS), defined as progression to Acute Myeloid Leukemia (AML), response rate evaluated according to IWG 2006 criteria, reduction in IV antibiotic use and transfusion dependence. For harms assessment, we extracted data on grade 3/4 toxicities and treatment related mortalities (TRM). OS and PFS were estimated using the Kaplan-Meier method and difference between treatments was calculated using the log-rank test. Cox proportional hazard model was used to estimate hazard ratios. Competing risk regression was applied in estimating PFS for time to AML or death, since the occurrence of AML may be unobservable due to patients' death. Covariate matching analysis (CMA) was applied for the outcomes of OS and PFS to estimate differences in treatment due to the non-random nature of the data. Each patient was matched to four other patients on prognostically significant covariates of age, MDS type, IPSS score, and FAB class. Differences in treatment effects for dichotomous outcomes were assessed using Mann-Whitney test. Results: One hundred seventy four MDS patients met the inclusion criteria (121 patients treated with 5-AzaC and 53 with DAC). Patient characteristics are summarized in table below. The unadjusted results showed a statistically significant OS benefit with 5-AzaC versus DAC (hazard ratio (HR) was 1.496 (95% Confidence Interval (CI), 1.005 to 2.226; p=0.047). However, the CMA showed a statistically non-significant gain of 1.088 months of survival with use of 5-AzaC versus DAC (95% CI, -4.219 to 6.395; p=0.688). For PFS, a statistically significant benefit was associated with 5-AzaC versus DAC (unadjusted HR=1.471 (95% CI 1.000 to 2.165; p=0.049). Nevertheless, CMA results showed a statistically non-significant gain of 1.060 months of PFS with use of 5-AzaC versus DAC (95% CI, -4.391 to 6.512; p=0.703). The overall response rate (20.0% vs 6.3%; p=0.029) and hematological response rate (24.4% vs 6.0%; p=0.006) was significantly better with 5-AzaC versus DAC. However, differences in cytogenetic response rate (23.4% vs 33.3%; p=0.398), bone marrow blast response rate (43.3% vs 54.5%; p=0.370), reduction of IV antibiotic drug use (9.5% vs 12.0%; p=0.780), and RBC (15.3% vs 12.2%; p=0.609) or platelet (5.0% vs 9.8%; p=0.291) transfusion requirements were statistically non-significant with 5-AzaC versus DAC. There was a statistically non-significant difference in occurrence of grade 3/4 toxicity (24.6% vs 37.6%; p=0.094) or TRM (1.0% vs 0.0%; p=.512) between patients treated with 5-AzaC versus DAC. Conclusions: Results from first retrospective population based study assessing the effectiveness of 5-AzaC versus DAC for treatment of MDS showed no significant difference in OS and PFS. However, 5-AzaC was associated with higher overall response rates compared with DAC with no significant difference in harms associated with the two treatments. Due to the limitations of retrospective analysis, these results warrant a prospective direct comparison of 5-AzaC versus DAC in a RCT. Disclosures: Lancet: Eisai: Consultancy; Celgene: Honoraria.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2010
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 6
    Online Resource
    Online Resource
    American Society of Hematology ; 2012
    In:  Blood Vol. 120, No. 21 ( 2012-11-16), p. 4271-4271
    In: Blood, American Society of Hematology, Vol. 120, No. 21 ( 2012-11-16), p. 4271-4271
    Abstract: Abstract 4271 Background: The role of various maintenance therapies in the management of MM is unclear and evidence on the efficacy of these regimens is conflicting. In order to provide the totality of available randomized evidence on the role of maintenance therapy in MM, we conduct a comprehensive systematic review and meta-analysis of all RCTs studying maintenance therapy. Here, we report the pooled results of trials which directly examined the novel agents of bortezomib, lenalidomide, or thalidomide and reported the outcomes of overall survival (OS) and/or progression-free survival (PFS). Methods: A comprehensive literature search of MEDLINE (PubMed), the Cochrane Central Register of Controlled Trials (CENTRAL), and meetings abstracts from American Society of Hematology, American Society of Clinical Oncology, European Society for Medical Oncology and European Hematology Association was undertaken to identify all phase III randomized controlled trials (RCTs) of maintenance therapy published until July 2012. We extracted data on OS and PFS. Time to event data were pooled under the random effects model as hazard ratios (HR) and its corresponding 95% confidence interval (CI). Heterogeneity was assessed using the chi square test and I2statistic. All analyses were done in Review Manager 5.1. Results: Twenty-two RCTs met the inclusion criteria. (Figure 1) However, only data from the following RCTs were able to be pooled for the direct head-to-head comparison: 2 RCTs of bortezomib maintenance therapy enrolling 792 patients, 5 RCTs of lenalidomide maintenance therapy enrolling 1776 patients, 11 RCTs of thalidomide maintenance therapy enrolling 3952 patients. The pooled HR and 95% CI, number of RCTs, and number of patients for each comparison are presented in Figure 2. Only two trials compared the novel agents of bortezomib and thalidomide head-to-head. There was no significant different in terms of PFS. For the novel agent of lenalidomide, there was no significant difference is OS compared to placebo. The pooled PFS was in favor of lenalidomide maintenance compared to placebo. For thalidomide, OS was significantly in favor of the intervention when compared to placebo or prednisone/dexamethasone. There was no significant difference in OS between thalidomide maintenance when compared to interferon control. For the outcome of PFS, the pooled results favored thalidomide when compared to prednisone/dexamethasone or interferon control. There was no significant difference between thalidomide and placebo. Conclusion: To date, the largest number of trials has been among thalidomide as maintenance therapy. In our meta-analysis, thalidomide is the only agent which improves survival compared to no treatment. Other novel agents have been evaluated in a smaller number of trials and current data does not allow for firm conclusions that any agent is superior to the other. An indirect, network meta-analysis is called for to provide additional insights regarding comparative efficacy of the novel agents as the maintenance treatment for MM. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2012
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 7
    Online Resource
    Online Resource
    American Society of Hematology ; 2012
    In:  Blood Vol. 120, No. 21 ( 2012-11-16), p. 4239-4239
    In: Blood, American Society of Hematology, Vol. 120, No. 21 ( 2012-11-16), p. 4239-4239
    Abstract: Abstract 4239 Background: In order to evaluate the evolution of therapies used in randomized controlled trials (RCTs), these treatments can be viewed as a treatment network. Using SNA allows us to examine the relationships and importance among different treatments in the network. Currently, there is no standard treatment regimen for patients with relapsed or refractory MM. Furthermore, the lack of a directed research agenda among RCTs of salvage therapy makes it difficult to produce evidence-based treatment guidelines. Our goal is to analyze the research network of RCTs studying salvage therapies among patients with MM using SNA which is anticipated to assist in directing future research. Methods: MEDLINE (PubMed), abstracts from the American Society of Hematology and American Society of Clinical Oncology were searched to July 2012 to identify all phase III RCTs of salvage therapy among patients with MM. Data on treatments used for the experimental and standard arm and sample size were extracted. A treatment network was created from the treatments in the included RCTs. The analysis included calculation of the following SNA measures: constraint, size, 2StepReach, and degree. Data were analyzed with UCINET 6 and figures were created with NetDraw 2.119. Results: Twenty-six RCTs enrolling a total of 6627 patients were included. The majority (54%) of the trials enrolled less than 150 patients. The treatment network (Figure) is fragmented with 3 prominent sub-networks and 5 isolates with 2 to 3 treatments. This fragmentation indicates that there is no communication among these sub-networks and isolates. Sub-network A is created around VAD treatment and is mostly of historical importance. Sub-network B is created between treatments compared to single agent Bort or DEX and sub-network C on treatments compared to combination Bort-DEX. Sub-network C contains the only head-to-head comparisons of novel agents (Thal versus Bort and Bort plus Thal versus Thal). The metrics for the treatments contained in sub-networks B and C are shown in the Table. Bort, DEX, and combination Bort-DEX have low constraint values indicating ample experimentation between treatments within their respective sub-networks. In contrast, Thal-Low and Thal-high have high values of constraint indicating that these treatments are rather isolated from the rest of their sub-network. Single agent DEX and Bort have the largest networks (6 and 4 nodes respectively) since they were most often used as standard treatment. This can also be seen in the Figure where the nodes for DEX and Bort are much larger compared to the other nodes in their network. This is further confirmed by the 2StepReach analysis where single agent DEX and Bort are able to reach the largest number of nodes within two “steps” compared to other treatments within their network. Conclusion: The geometry of the treatment network demonstrates the fragmented and unorganized evolution of salvage therapies in MM. Most recently single agent Bort and DEX and combination Bort-DEX have been used most frequently as the standard comparison in RCTs. However, there were only two head-to-head comparisons of novel agents (Thal versus Bort and Bort plus Thal versus Thal). Using SNA can aid researchers in developing a more focused research agenda which will facilitate the development of evidence-based guidelines for salvage therapy among patients with MM. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2012
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 8
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2011
    In:  BMC Medical Research Methodology Vol. 11, No. 1 ( 2011-12)
    In: BMC Medical Research Methodology, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2011-12)
    Type of Medium: Online Resource
    ISSN: 1471-2288
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2011
    detail.hit.zdb_id: 2041362-2
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  • 9
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2012
    In:  BMC Medical Research Methodology Vol. 12, No. 1 ( 2012-12)
    In: BMC Medical Research Methodology, Springer Science and Business Media LLC, Vol. 12, No. 1 ( 2012-12)
    Type of Medium: Online Resource
    ISSN: 1471-2288
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2012
    detail.hit.zdb_id: 2041362-2
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  • 10
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2002
    In:  BMC Health Services Research Vol. 2, No. 1 ( 2002-12)
    In: BMC Health Services Research, Springer Science and Business Media LLC, Vol. 2, No. 1 ( 2002-12)
    Type of Medium: Online Resource
    ISSN: 1472-6963
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2002
    detail.hit.zdb_id: 2050434-2
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