ArticleJAMA oncology2016
The Scientific Impact of Positive and Negative Phase 3 Cancer Clinical Trials.
Article in JAMA oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 5 of them syntheses that pooled 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.
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.
Who cites it
27 citing papers in PubMed, 5 syntheses or guidelines pooled it, 53 citations in OpenAlex.
- Expected vs observed effect sizes for survival endpoints in phase 3 oncology trials.Journal of the National Cancer Institute · 2025Pooled it
- Accuracy of Event Rate and Effect Size Estimation in Major Cardiovascular Trials: A Systematic Review.JAMA network open · 2024Pooled it
- Misleading Reporting (Spin) in Noninferiority Randomized Clinical Trials in Oncology With Statistically Not Significant Results: A Systematic Review.JAMA network open · 2021Pooled it
- Systematic Review and Meta-Analysis of the Magnitude of Structural, Clinical, and Physician and Patient Barriers to Cancer Clinical Trial Participation.Journal of the National Cancer Institute · 2019Pooled it
- Overinterpretation and misreporting of prognostic factor studies in oncology: a systematic review.British journal of cancer · 2018Pooled it
- The Effect of Positive SWOG Treatment Trials on Survival of Patients With Cancer in the US Population.JAMA oncology · 2017Trial
- Real World Data and Its Impact on the Management of Plasma Cell Dyscrasias.Current hematologic malignancy reports · 2026Review
- Strategies for optimizing clinical trial recruitment: perspectives among patients with breast cancer.Cancer causes & control : CCC · 2026Article
- Interpreting results from biomarker-guided clinical trials: avoiding "negative" or "failed" terminology.BMC medicine · 2025Article
- Enhancing biomarker based oncology trial matching using large language models.NPJ digital medicine · 2025Article
- When to adjust for multiplicity in cancer clinical trials.Journal of the National Cancer Institute. Monographs · 2025Article
- Underrepresentation of Women in Reduced Ejection Heart Failure Clinical Trials With Improved Mortality or Hospitalization.JACC. Advances · 2024Article
- Population, Clinical, and Scientific Impact of National Cancer Institute's National Clinical Trials Network Treatment Studies.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023Article
- Optimism Bias in the Design of Phase III Randomized Control Trials Evaluating PD-1/PD-L1 Targeting Monoclonal Antibodies.The oncologist · 2022Review
- Patterns of Scientific and Clinical Impact in Cancer Randomized Clinical Trials.JAMA network open · 2022Article
- Impact of Value Frameworks on the Magnitude of Clinical Benefit: Evaluating a Decade of Randomized Trials for Systemic Therapy in Solid Malignancies.Current oncology (Toronto, Ont.) · 2021Article
- Assessing treatment effects and publication bias across different specialties in medicine: a meta-epidemiological study.BMJ open · 2021Article
- Cancer Clinical Trial Participation at the 1-Year Anniversary of the Outbreak of the COVID-19 Pandemic.JAMA network open · 2021Article
- The Future of Clinical Trial Design in Oncology.Cancer discovery · 2021Review
- Sensible Introduction of MR-Guided Radiotherapy: A Warm Plea for the RCT.Frontiers in oncology · 2021Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
importancePositive phase 3 cancer clinical trials are widely hailed, while trials with negative results are often interpreted as scientific failures. We hypothesized that these interpretations would be reflected in the scientific literature.
objectiveTo compare the scientific impact of positive vs negative phase 3 cancer clinical treatment trials. DESIGN, SETTING, AND
participantsWe examined the phase 3 trial history of SWOG, a national cancer clinical trials consortium, over a 30-year period (1985-2014). Scientific impact was assessed according to multiple publication and citation outcomes. Citation data were obtained using Google Scholar. Citation counts were compared using generalized estimating equations for Poisson regression. Any trial that was formally evaluated for the randomized treatment comparison was included for analysis of publication and citation outcomes. Trials were categorized as positive if they achieved a statistically significant result in favor of the new experimental treatment for the protocol-specified primary end point. Trials were categorized as negative if they achieved a statistically significant result in favor of standard therapy or a null result with no statistically significant benefit for either the experimental or standard therapy. MAIN OUTCOMES AND MEASURES: Impact factors for the journals publishing the primary trial results, and the number of citations for the primary trial articles and all secondary articles associated with the trials.
resultsNinety-four studies enrolling n = 46 424 patients were analyzed. Twenty-eight percent of trials were positive (26 of 94). The primary publications from positive trials were published in journals with higher mean (SD) 2-year impact factors (28 [19] vs 18 [13]; P = .007) and were cited twice as often as negative trials (mean per year, 43 vs 21; relative risk, 2.0; 95% CI, 1.1-3.9; P = .03). However, the number of citations from all primary and secondary articles did not significantly differ between positive and negative trials (mean per year, 55 vs 45; relative risk, 1.2; 95% CI, 0.7-2.3; P = .53). CONCLUSIONS AND RELEVANCE: The scientific impact of the primary articles from positive phase 3 randomized cancer clinical trials was twice as great as for negative trials. But when all of the articles associated with the trials were considered, the scientific impact between positive and negative trials was similar. Positive trials indicate clinical advances, but negative trials also have a sizeable scientific impact by generating important scientific observations and new hypotheses and by showing what new treatments should not be used.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.