ArticleThe oncologist2013
Oncology comparative effectiveness research: a multistakeholder perspective on principles for conduct and reporting.
Article in The oncologist, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Stepwise development of a cancer care delivery research study to evaluate the prevalence of virus infections in cancer patients.Future oncology (London, England) · 2016Article
- Considerations for observational research using large data sets in radiation oncology.International journal of radiation oncology, biology, physics · 2014Review
- Comparative effectiveness of adjunctive bevacizumab for advanced lung cancer: the cancer research network experience.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2014Article
- Preparing for success with comparative effectiveness research.The oncologist · 2013Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Comparative effectiveness research (CER) can assist patients, clinicians, purchasers, and policy makers in making more informed decisions that will improve cancer care and outcomes. Despite its promise, the factors that distinguish CER from other types of evidence remain mysterious to many oncologists. One concern is whether CER studies will improve decision making in oncology or only add to the massive amount of research information that decision makers must sift through as part of their professional responsibilities. In this report, we highlight several issues that distinguish CER from the most common way evidence is generated for cancer therapy-phase I-III clinical trials. To identify the issues that are most relevant to busy decision makers, we assembled a panel of active professionals with a wide range of roles in cancer care delivery. This panel identified five themes that they considered most important for CER in oncology, as well as fundamental threats to the validity of individual CER studies-threats they termed the "kiss of death" for their applicability to practice. In discussing these concepts, we also touched upon the notion of whether cancer is special among health issues with regard to how evidence is generated and used.
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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.