Evidence map›Paper›PMID 15728168›Full record

SynthesisJAMA2005

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

Heloisa P Soares, Ambuj Kumar, Stephanie Daniels, Suzanne Swann, Alan Cantor, Iztok Hozo, Mike Clark, Fadila Serdarevic, Clement Gwede, Andy Trotti and 1 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in JAMA, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 'Optimism bias' in contemporary national clinical trial network phase III trials: are we improving?Annals of oncology : official journal of the European Society for Medical Oncology · 2018
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Lessons learned from radiation oncology clinical trials.Clinical cancer research : an official journal of the American Association for Cancer Research · 2013
    Review
  18. Article
  19. New treatments compared to established treatments in randomized trials.The Cochrane database of systematic reviews · 2012
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Heloisa P SoaresH. Lee Moffitt Cancer Center and Research Institute at University of South Florida, Tampa 33612, USA.
Ambuj Kumar
Stephanie Daniels
Suzanne Swann
Alan Cantor
Iztok Hozo
Mike Clark
Fadila Serdarevic
Clement Gwede
Andy Trotti
Benjamin Djulbegovic

Funding

Equipoise and the research integrity of clinical trialsR01NS044417 · NINDS · UNIVERSITY OF SOUTH FLORIDA · PI DJULBEGOVIC, BENJAMIN · 2002 to 2003
$290k
NINDS NIH HHS 1R01NS/NR44417-01
6 · The paper itself

Abstract

contextThe 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.

objectiveTo 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.

conclusionThe 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.

Indexed as

Outcome Assessment, Health CareRadiation OncologyRandomized Controlled Trials as TopicClinical Trials, Phase III as TopicHumansNeoplasms

Identifiers

PMID15728168
PMCPMC1779758

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.