ArticleJCO clinical cancer informatics2018
Assessing the Training and Research Environment for Genomics, Bioinformatics, and Immunology in Radiation Oncology.
Article in JCO clinical cancer informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Digital remote monitoring plus usual care versus usual care in patients treated with oral anticancer agents: the randomized phase 3 CAPRI trial.Nature medicine · 2022Trial
- Provider Engagement in Radiation Oncology Data Science: Workshop Report.JCO clinical cancer informatics · 2020Article
- In Regard to Wallner et al.International journal of radiation oncology, biology, physics · 2020Article
- Career Enrichment Opportunities at the Scientific Frontier in Radiation Oncology.JCO clinical cancer informatics · 2019Article
- National Cancer Institute Workshop on Artificial Intelligence in Radiation Oncology: Training the Next Generation.Practical radiation oncologyArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
purposeTo assess radiation oncologists' perceptions of training and research opportunities in the fields of genomics, bioinformatics, and immunology. MATERIALS AND
methodsA 13-item electronic survey was sent to 101 radiation oncology department chairs and administrators. A separate 30-item electronic survey was sent to 132 members of the American Society for Radiation Oncology Science Council as well as to 565 members of the Association of Residents in Radiation Oncology. Survey responses were collected, and results were analyzed using descriptive statistics.
resultsTwenty-six department chairs and 91 general respondents submitted responses. Among general respondents, 69% were current trainees and 31% had completed training. The majority of respondents (92%) were affiliated with an academic/university main campus. Approximately half of respondents (43% to 53%) reported no prior formal training in bioinformatics, genomics, or immunology. More than half of department chairs (54% to 58%) and general respondents (57% to 63%) thought that current training opportunities in these areas were absolutely or moderately insufficient. A majority of respondents (53% to 65%) thought that additional training in these areas would provide opportunity for career advancement, and 80% could identify a current or future research project that additional training in these fields would allow them to pursue. More than half of respondents expressed interest in attending a formal training course, and the majority of department chairs (22 of 26 [85%]) reported that they would probably or definitely send trainees or faculty members to a formal training course.
conclusionAmong radiation oncologists surveyed, there is a perceived lack of current training opportunities in bioinformatics, genomics, and immunology. A majority of respondents reported an interest in obtaining additional training in these areas and believed that training would provide opportunity for career advancement.
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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.