ArticleClinical and translational science2016
New York University School of Medicine Drug Development Educational Program: 2-Year Benchmark.
Article in Clinical and translational science, 2016. 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.
- Areas of strength and opportunities for growth in translational science education and training: Results of a scoping review from the NCATS Education Branch.Clinical and translational science · 2023Article
- Teaching Targeted Drug Discovery and Development to Healthcare Professionals.Clinical and translational science · 2018Article
- Training scientists as future industry leaders: teaching translational science from an industry executive's perspective.Journal of translational science · 2018Article
- Targeted drug discovery and development, from molecular signaling to the global market: an educational program at New York University, 5-year metrics.Journal of translational science · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Drug development (DD) is a multidisciplinary process that spans the translational continuum, yet remains an understudied entity in medical schools and biomedical science institutes. In response to a growing interest and unmet need, we implemented a DD course series that details identification of viable molecular targets, clinical trial design, intellectual property, and marketing. Enrollment is open to faculty, postdoctoral trainees, and MD, PhD, and MS students. After 2 years, 37 students and 23 students completed the fall and spring courses, respectively. Pre/post-surveys demonstrated gained knowledge across course topics, with mean survey scores increased by 66% (p < 0.001) after each course. Lectures for each course were consistently rated highly, with a mean course rating of 4.1/5. Through this program, trainees will have a more innovative approach toward identification of therapeutic targets and modalities. Furthermore, they will learn to integrate technology and biomedical informatics to find creative solutions in the DD process.
Identifiers
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.