ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2013
"Drivers" of translational cancer epidemiology in the 21st century: needs and opportunities.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed, 43 citations in OpenAlex.
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- Mapping the evolving definitions of translational research.Journal of clinical and translational science · 2017Review
- A novel web informatics approach for automated surveillance of cancer mortality trends.Journal of biomedical informatics · 2016Article
- From Molecules to Patients: The Clinical Applications of Translational Bioinformatics.Yearbook of medical informatics · 2015Article
- Charting a future for epidemiologic training.Annals of epidemiology · 2015Article
- Evolution of the "drivers" of translational cancer epidemiology: analysis of funded grants and the literature.American journal of epidemiology · 2015Review
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- Genetic simulation tools for post-genome wide association studies of complex diseases.Genetic epidemiology · 2015Article
- What is translational genomics? An expanded research agenda for improving individual and population health.Applied & translational genomics · 2014Article
- The next generation of large-scale epidemiologic research: implications for training cancer epidemiologists.American journal of epidemiology · 2014Review
- An action plan for translating cancer survivorship research into care.Journal of the National Cancer Institute · 2014Article
- A primer series on -omic technologies for the practice of epidemiology.American journal of epidemiology · 2014Article
- Review
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 at 3 institutions in 1 country.
Funding
Abstract
Cancer epidemiology is at the cusp of a paradigm shift--propelled by an urgent need to accelerate the pace of translating scientific discoveries into health care and population health benefits. As part of a strategic planning process for cancer epidemiologic research, the Epidemiology and Genomics Research Program (EGRP) at the National Cancer Institute (NCI) is leading a "longitudinal" meeting with members of the research community to engage in an on-going dialogue to help shape and invigorate the field. Here, we review a translational framework influenced by "drivers" that we believe have begun guiding cancer epidemiology toward translation in the past few years and are most likely to drive the field further in the next decade. The drivers include: (i) collaboration and team science, (ii) technology, (iii) multilevel analyses and interventions, and (iv) knowledge integration from basic, clinical, and population sciences. Using the global prevention of cervical cancer as an example of a public health endeavor to anchor the conversation, we discuss how these drivers can guide epidemiology from discovery to population health impact, along the translational research continuum.
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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.