Literature DB >> 15728168

Evaluation of new treatments in radiation oncology: are they better than standard treatments?

Heloisa P Soares1, Ambuj Kumar, Stephanie Daniels, Suzanne Swann, Alan Cantor, Iztok Hozo, Mike Clark, Fadila Serdarevic, Clement Gwede, Andy Trotti, Benjamin Djulbegovic.   

Abstract

CONTEXT: The superiority of innovative over standard treatments is not known. To describe accurately the outcomes of innovations that are tested in randomized controlled trials (RCTs) 3 factors have to be considered: publication rate, quality of trials, and the choice of the adequate comparator intervention.
OBJECTIVE: To determine the success rate of innovative treatments by assessing preferences between experimental and standard treatments according to original investigators' conclusions, determining the proportion of RCTs that achieved primary outcomes' statistical significance, and performing meta-analysis to examine if the summary point estimate favored innovative vs standard treatments. DATA SOURCES: Randomized controlled trials conducted by the Radiation Therapy Oncology Group (RTOG). STUDY SELECTION: All completed phase 3 trials conducted by the RTOG since its creation in 1968 until 2002. For multiple publications of the same study, we used the one with the most complete primary outcomes and with the longest follow-up information. DATA EXTRACTION: We used the US National Cancer Institute definition of completed studies to determine the publication rate. We extracted data related to publication status, methodological quality, and treatment comparisons. One investigator extracted the data from all studies and 2 independent investigators extracted randomly about 50% of the data. Disagreements were resolved by consensus during a meeting. DATA SYNTHESIS: Data on 12,734 patients from 57 trials were evaluated. The publication rate was 95%. The quality of trials was high. We found no evidence of inappropriateness of the choice of comparator. Although the investigators judged that standard treatments were preferred in 71% of the comparisons, when data were meta-analyzed innovations were as likely as standard treatments to be successful (odds ratio for survival, 1.01; 99% confidence interval, 0.96-1.07; P = .5). In contrast, treatment-related mortality was worse with innovations (odds ratio, 1.76; 99% confidence interval, 1.01-3.07; P = .008). We found no predictable pattern of treatment successes in oncology: sometimes innovative treatments are better than the standard ones and vice versa; in most cases there were no substantive differences between experimental and conventional treatments.
CONCLUSION: The finding that the results in individual trials cannot be predicted in advance indicates that the system and rationale for RCTs is well preserved and that successful interventions can only be identified after an RCT is completed.

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Year:  2005        PMID: 15728168      PMCID: PMC1779758          DOI: 10.1001/jama.293.8.970

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  36 in total

Review 1.  The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomized trials.

Authors:  D Moher; K F Schulz; D Altman
Journal:  JAMA       Date:  2001-04-18       Impact factor: 56.272

Review 2.  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

3.  Use of the CONSORT statement and quality of reports of randomized trials: a comparative before-and-after evaluation.

Authors:  D Moher; A Jones; L Lepage
Journal:  JAMA       Date:  2001-04-18       Impact factor: 56.272

4.  Looking back on the millennium in medicine.

Authors: 
Journal:  N Engl J Med       Date:  2000-01-06       Impact factor: 91.245

5.  Scientific and ethical issues in equivalence trials.

Authors:  B Djulbegovic; M Clarke
Journal:  JAMA       Date:  2001-03-07       Impact factor: 56.272

Review 6.  Ethical issues in the design and conduct of randomised controlled trials.

Authors:  S J Edwards; R J Lilford; D A Braunholtz; J C Jackson; J Hewison; J Thornton
Journal:  Health Technol Assess       Date:  1998-12       Impact factor: 4.014

7.  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

8.  Better reporting of harms in randomized trials: an extension of the CONSORT statement.

Authors:  John P A Ioannidis; Stephen J W Evans; Peter C Gøtzsche; Robert T O'Neill; Douglas G Altman; Kenneth Schulz; David Moher
Journal:  Ann Intern Med       Date:  2004-11-16       Impact factor: 25.391

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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  24 in total

Review 1.  Lessons learned from radiation oncology clinical trials.

Authors:  Fei-Fei Liu; Paul Okunieff; Eric J Bernhard; Helen B Stone; Stephen Yoo; C Norman Coleman; Bhadrasain Vikram; Martin Brown; John Buatti; Chandan Guha
Journal:  Clin Cancer Res       Date:  2013-09-16       Impact factor: 12.531

2.  Evidence-based radiology: why and how?

Authors:  Francesco Sardanelli; Myriam G Hunink; Fiona J Gilbert; Giovanni Di Leo; Gabriel P Krestin
Journal:  Eur Radiol       Date:  2010-01       Impact factor: 5.315

3.  Are experimental treatments for cancer in children superior to established treatments? Observational study of randomised controlled trials by the Children's Oncology Group.

Authors:  Ambuj Kumar; Heloisa Soares; Robert Wells; Mike Clarke; Iztok Hozo; Archie Bleyer; Gregory Reaman; Iain Chalmers; Benjamin Djulbegovic
Journal:  BMJ       Date:  2005-11-18

Review 4.  Small animal image-guided radiotherapy: status, considerations and potential for translational impact.

Authors:  K T Butterworth; K M Prise; F Verhaegen
Journal:  Br J Radiol       Date:  2015-01       Impact factor: 3.039

5.  '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

Review 6.  Optimism bias leads to inconclusive results-an empirical study.

Authors:  Benjamin Djulbegovic; Ambuj Kumar; Anja Magazin; Anneke T Schroen; Heloisa Soares; Iztok Hozo; Mike Clarke; Daniel Sargent; Michael J Schell
Journal:  J Clin Epidemiol       Date:  2010-12-16       Impact factor: 6.437

7.  The Scientific Impact of Positive and Negative Phase 3 Cancer Clinical Trials.

Authors:  Joseph M Unger; William E Barlow; Scott D Ramsey; Michael LeBlanc; Charles D Blanke; Dawn L Hershman
Journal:  JAMA Oncol       Date:  2016-07-01       Impact factor: 31.777

Review 8.  Optimal radiotherapy for non-small-cell lung cancer: current progress and future challenges.

Authors:  Satoshi Ishikura
Journal:  Gen Thorac Cardiovasc Surg       Date:  2012-03-15

9.  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.

Authors:  Benjamin Djulbegovic; Ambuj Kumar; Heloisa P Soares; Iztok Hozo; Gerold Bepler; Mike Clarke; Charles L Bennett
Journal:  Arch Intern Med       Date:  2008-03-24

10.  Stopping randomized trials early for benefit: a protocol of the Study Of Trial Policy Of Interim Truncation-2 (STOPIT-2).

Authors:  Matthias Briel; Melanie Lane; Victor M Montori; Dirk Bassler; Paul Glasziou; German Malaga; Elie A Akl; Ignacio Ferreira-Gonzalez; Pablo Alonso-Coello; Gerard Urrutia; Regina Kunz; Carolina Ruiz Culebro; Suzana Alves da Silva; David N Flynn; Mohamed B Elamin; Brigitte Strahm; M Hassan Murad; Benjamin Djulbegovic; Neill K J Adhikari; Edward J Mills; Femida Gwadry-Sridhar; Haresh Kirpalani; Heloisa P Soares; Nisrin O Abu Elnour; John J You; Paul J Karanicolas; Heiner C Bucher; Julianna F Lampropulos; Alain J Nordmann; Karen E A Burns; Sohail M Mulla; Heike Raatz; Amit Sood; Jagdeep Kaur; Clare R Bankhead; Rebecca J Mullan; Kara A Nerenberg; Per Olav Vandvik; Fernando Coto-Yglesias; Holger Schünemann; Fabio Tuche; Pedro Paulo M Chrispim; Deborah J Cook; Kristina Lutz; Christine M Ribic; Noah Vale; Patricia J Erwin; Rafael Perera; Qi Zhou; Diane Heels-Ansdell; Tim Ramsay; Stephen D Walter; Gordon H Guyatt
Journal:  Trials       Date:  2009-07-06       Impact factor: 2.279

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