Literature DB >> 18362256

Treatment success in cancer: new cancer treatment successes identified in phase 3 randomized controlled trials conducted by the National Cancer Institute-sponsored cooperative oncology groups, 1955 to 2006.

Benjamin Djulbegovic1, Ambuj Kumar, Heloisa P Soares, Iztok Hozo, Gerold Bepler, Mike Clarke, Charles L Bennett.   

Abstract

BACKGROUND: The evaluation of research output, such as estimation of the proportion of treatment successes, is of ethical, scientific, and public importance but has rarely been evaluated systematically. We assessed how often experimental cancer treatments that undergo testing in randomized clinical trials (RCTs) result in discovery of successful new interventions.
METHODS: We extracted data from all completed (published and unpublished) phase 3 RCTs conducted by the National Cancer Institute cooperative groups since their inception in 1955. Therapeutic successes were determined by (1) assessing the proportion of statistically significant trials favoring new or standard treatments, (2) determining the proportion of the trials in which new treatments were considered superior to standard treatments according to the original researchers, and (3) quantitatively synthesizing data for main clinical outcomes (overall and event-free survival).
RESULTS: Data from 624 trials (781 randomized comparisons) involving 216 451 patients were analyzed. In all, 30% of trials had statistically significant results, of which new interventions were superior to established treatments in 80% of trials. The original researchers judged that the risk-benefit profile favored new treatments in 41% of comparisons (316 of 766). Hazard ratios for overall and event-free survival, available for 614 comparisons, were 0.95 (99% confidence interval [CI], 0.93-0.98) and 0.90 (99% CI, 0.87- 0.93), respectively, slightly favoring new treatments. Breakthrough interventions were discovered in 15% of trials.
CONCLUSIONS: Approximately 25% to 50% of new cancer treatments that reach the stage of assessment in RCTs will prove successful. The pattern of successes has become more stable over time. The results are consistent with the hypothesis that the ethical principle of equipoise defines limits of discoverability in clinical research and ultimately drives therapeutic advances in clinical medicine.

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Mesh:

Year:  2008        PMID: 18362256      PMCID: PMC2773511          DOI: 10.1001/archinte.168.6.632

Source DB:  PubMed          Journal:  Arch Intern Med        ISSN: 0003-9926


  32 in total

Review 1.  The revised CONSORT statement for reporting randomized trials: explanation and elaboration.

Authors:  D G Altman; K F Schulz; D Moher; M Egger; F Davidoff; D Elbourne; P C Gøtzsche; T Lang
Journal:  Ann Intern Med       Date:  2001-04-17       Impact factor: 25.391

Review 2.  Systematic reviews in health care: Assessing the quality of controlled clinical trials.

Authors:  P Jüni; D G Altman; M Egger
Journal:  BMJ       Date:  2001-07-07

3.  Acknowledgment of uncertainty: a fundamental means to ensure scientific and ethical validity in clinical research.

Authors:  B Djulbegovic
Journal:  Curr Oncol Rep       Date:  2001-09       Impact factor: 5.075

4.  The uncertainty principle and industry-sponsored research.

Authors:  B Djulbegovic; M Lacevic; A Cantor; K K Fields; C L Bennett; J R Adams; N M Kuderer; G H Lyman
Journal:  Lancet       Date:  2000-08-19       Impact factor: 79.321

5.  Therapies for cancer in children--past successes, future challenges.

Authors:  Robert E Wittes
Journal:  N Engl J Med       Date:  2003-02-20       Impact factor: 91.245

Review 6.  Pharmaceutical industry sponsorship and research outcome and quality: systematic review.

Authors:  Joel Lexchin; Lisa A Bero; Benjamin Djulbegovic; Otavio Clark
Journal:  BMJ       Date:  2003-05-31

7.  Association of funding and conclusions in randomized drug trials: a reflection of treatment effect or adverse events?

Authors:  Bodil Als-Nielsen; Wendong Chen; Christian Gluud; Lise L Kjaergard
Journal:  JAMA       Date:  2003-08-20       Impact factor: 56.272

8.  Articulating and responding to uncertainties in clinical research.

Authors:  Benjamin Djulbegovic
Journal:  J Med Philos       Date:  2007 Mar-Apr

Review 9.  Reliable assessment of the effects of treatment on mortality and major morbidity, I: clinical trials.

Authors:  R Collins; S MacMahon
Journal:  Lancet       Date:  2001-02-03       Impact factor: 79.321

10.  Choosing a control intervention for a randomised clinical trial.

Authors:  Howard Mann; Benjamin Djulbegovic
Journal:  BMC Med Res Methodol       Date:  2003-04-22       Impact factor: 4.615

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  41 in total

1.  Uncertainty and equipoise: at interplay between epistemology, decision making and ethics.

Authors:  Benjamin Djulbegovic
Journal:  Am J Med Sci       Date:  2011-10       Impact factor: 2.378

2.  Methodological problems in the method used by IQWiG within early benefit assessment of new pharmaceuticals in Germany.

Authors:  Matthias Herpers; Charalabos-Markos Dintsios
Journal:  Eur J Health Econ       Date:  2018-04-25

3.  'Optimism bias' in contemporary national clinical trial network phase III trials: are we improving?

Authors:  Kaveh Zakeri; Sonal Noticewala; Lucas Vitzthum; E Sojourner; Hanjie Shen; Loren Mell
Journal:  Ann Oncol       Date:  2018-10-01       Impact factor: 32.976

4.  Influence of Modeling Choices on Value of Information Analysis: An Empirical Analysis from a Real-World Experiment.

Authors:  David D Kim; Gregory F Guzauskas; Caroline S Bennette; Anirban Basu; David L Veenstra; Scott D Ramsey; Josh J Carlson
Journal:  Pharmacoeconomics       Date:  2020-02       Impact factor: 4.981

5.  Triangulating on success: innovation, public health, medical care, and cause-specific US mortality rates over a half century (1950-2000).

Authors:  George Rust; David Satcher; George Edgar Fryer; Robert S Levine; Daniel S Blumenthal
Journal:  Am J Public Health       Date:  2010-02-10       Impact factor: 9.308

6.  Development and Evaluation of an Approach to Using Value of Information Analyses for Real-Time Prioritization Decisions Within SWOG, a Large Cancer Clinical Trials Cooperative Group.

Authors:  Caroline S Bennette; David L Veenstra; Anirban Basu; Laurence H Baker; Scott D Ramsey; Josh J Carlson
Journal:  Med Decis Making       Date:  2016-03-24       Impact factor: 2.583

7.  A Model of Cancer Clinical Trial Decision-making Informed by African-American Cancer Patients.

Authors:  Jennifer A Wenzel; Olive Mbah; Jiayun Xu; Gyasi Moscou-Jackson; Haneefa Saleem; Kwame Sakyi; Jean G Ford
Journal:  J Racial Ethn Health Disparities       Date:  2015-06

8.  Evolution of the randomized controlled trial in oncology over three decades.

Authors:  Christopher M Booth; David W Cescon; Lisa Wang; Ian F Tannock; Monika K Krzyzanowska
Journal:  J Clin Oncol       Date:  2008-10-27       Impact factor: 44.544

9.  The misguided ethics of crossover trials.

Authors:  Vinay Prasad; Christine Grady
Journal:  Contemp Clin Trials       Date:  2013-12-21       Impact factor: 2.226

10.  Association of trial registration with the results and conclusions of published trials of new oncology drugs.

Authors:  Nicolas Rasmussen; Kirby Lee; Lisa Bero
Journal:  Trials       Date:  2009-12-16       Impact factor: 2.279

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