ArticleBritish journal of cancer2003
Industry-sponsored economic studies in oncology vs studies sponsored by nonprofit organisations.
Article in British journal of cancer, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 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
14 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A systematic review of health economic evaluations of vaccines in Brazil.Human vaccines & immunotherapeutics · 2017Pooled it
- Cost-effectiveness research in cancer therapy: a systematic review of literature trends, methods and the influence of funding.BMJ open · 2017Pooled it
- Pooled it
- Industry sponsorship bias in cost effectiveness analysis: registry based analysis.BMJ (Clinical research ed.) · 2022Article
- The Influence of Industry Sponsorship on the Research Agenda: A Scoping Review.American journal of public health · 2018Article
- Those who have the gold make the evidence: how the pharmaceutical industry biases the outcomes of clinical trials of medications.Science and engineering ethics · 2012Article
- Cost-effectiveness analysis for clinicians.BMC medicine · 2012Article
- Coauthorship and institutional collaborations on cost-effectiveness analyses: a systematic network analysis.PloS one · 2012Article
- Industry involvement and baseline assumptions of cost-effectiveness analyses: diagnostic accuracy of the Papanicolaou test.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2011Article
- [From the design of use study to the assessment of the benefit: with or without pharmaceutical industry?].Medizinische Klinik (Munich, Germany : 1983) · 2010Article
- Review
- Does the funding source influence the results in economic evaluations? A case study in bisphosphonates for the treatment of osteoporosis.PharmacoEconomics · 2010Article
- Evolution of the randomized controlled trial in oncology over three decades.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2008Article
- [Potential sponsorship bias in cost-effectiveness analyses of healthcare interventions: A cross-sectional analysis].Atencion primariaArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this analysis of health economic studies in the field of oncology was to investigate among sponsored studies whether any relationship could be established between the type of sponsorship and (1) type of economic analysis, (2) health technology assessed, (3) sensitivity analysis performed, (4) publication status, and (5) qualitative conclusions about costs. The Health Economic Evaluations Database (HEED, version 1995-2000) was searched on the basis of oncological ICD-9 codes, sponsorship, and comparative studies. This search yielded a total of 150 eligible articles. Their evaluations were prepared independently by two investigators, on the basis of specific criteria. When evaluators disagreed, a third investigator provided a deciding evaluation. There was no statistically significant relationship between the type of sponsorship and sensitivity analysis performed (P=0.29) or publication status (P=0.08). However, we found a significant relationship between the types of sponsorship and of economic analysis (P=0.004), the health technology assessed (P<0.0001), and qualitative cost assessment (P=0.002). Studies with industrial sponsorship were 2.56 (99% lower confidence interval (CI)=1.28) times more likely to involve cost-minimisation analyses, were 0.04 (99% higher CI=0.39) times less likely to investigate diagnostic screening methods, and were 1.86 (99% lower CI=1.21) times more likely to reach positive qualitative conclusions about costs than studies supported by nonprofit organisations. In conclusion, our results suggest that there is a greater probability that industry-sponsored economic studies in the field of oncology tend to be cost-minimisation analyses, to investigate less likely diagnostic screening methods, and to draw positive qualitative conclusions about costs, as compared to studies supported by nonprofit organisations.
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Registered trials
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