ArticleThe Journal of adolescent health : official publication of the Society for Adolescent Medicine2013
Turning disciplinary knowledge into solutions.
Article in The Journal of adolescent health : official publication of the Society for Adolescent Medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- A framework for coordination center responsibilities and performance in a multi-site, transdisciplinary public health research initiative.Research Evaluation · 2019Article
- News from CDC: applying a life course approach to primary cancer prevention.Translational behavioral medicine · 2015Article
- Forging an integrated agenda for primary cancer prevention during midlife.American journal of preventive medicine · 2014Article
- Introduction to the Special Issue.Race and social problems · 2013Article
- Cancer prevention for the next generation.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2013Article
- Highlights from a workshop on opportunities for cancer prevention during preadolescence and adolescence.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Turning disciplinary knowledge about preadolescents' and adolescents' exposure to risk factors for cancer as adults into solutions for preventing such an outcome requires that investigators from a variety of backgrounds and disciplines come together to share knowledge. Optimally, these collaborations would occur across two dimensions: (1) transdisciplinary, from the molecular or cellular level (e.g., animal studies of endocrine disruption) to the societal level (e.g., economic studies related to state tobacco policies); and (2) translational, using basic research findings in clinical and other sciences to implement prevention programs and public policy. Only when collaboration is commonplace can the disparate groups of investigators working on cancer prevention during preadolescence and adolescence gain a holistic picture of the risk factors, inform one another's work, and learn what we need to know to devise successful interventions for preventing cancer. Working transdisciplinarily also helps to ensure that messages to health professionals, policymakers, the news media, and the public are consistent and coordinated. At present, those investigating preadolescent and adolescent risk for adult cancer disseminate their knowledge individually, thus missing the opportunity to synthesize knowledge, coordinate dissemination, and implement prevention programs. In this article, we distinguish multidisciplinary, interdisciplinary, and transdisciplinary approaches; argue for the benefits of a transdisciplinary approach to devising successful solutions; and explore how to achieve transdisciplinary functioning.
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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.