ArticleAcademic medicine : journal of the Association of American Medical Colleges2020
The Architecture of an Internal, Scientific, Presubmission Review Program Designed to Increase the Impact and Success of Grant Proposals and Manuscripts.
Article in Academic medicine : journal of the Association of American Medical Colleges, 2020. 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.
- Building strong grant writers in academic medicine: outcomes of early-career faculty enrolled in the University of California San Diego Health Sciences Grant Writing Course.Academic medicine : journal of the Association of American Medical Colleges · 2026Article
- Competing for research funding: Key elements impacting the evaluation of grant proposal.Heliyon · 2024Article
- Downstream funding success of early career researchers for resubmitted versus new applications: A matched cohort.PloS one · 2021Article
- A CTSA-based consultation service to advance research on special and underserved populations.Journal of clinical and translational science · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Securing extramural grant funding and publishing in peer-reviewed journals are key indicators of success for many investigators in academic settings. As a result, these expectations are also sources of stress for investigators and trainees considering such careers. As competition over grant funding, costs of conducting research, and diffusion of effort across multiple demands increase, the need to submit high-quality applications and publications is paramount. For over 3 decades, the Center for AIDS Prevention Studies at the University of California, San Francisco, has refined an internal, presubmission, peer review program to improve the quality and potential success of products before external submission. In this article, the rationale and practical elements of the system are detailed, and recent satisfaction reports, grant submission outcomes, and plans for ongoing tracking of the success rates of products reviewed are discussed. The program includes both early-stage concept reviews of ideas in their formative state and full product reviews of near-final drafts. Recent evaluation data indicate high levels of reviewee satisfaction with multiple domains of the process, including scheduling the review sessions, preparedness and expertise of the reviewers, and overall quality of the review. Outcome data from reviews conducted over a recent 12-month period demonstrate subsequent funding of 44% of proposals reviewed through the program, a success rate that surpasses the National Institutes of Health funding success rates for the same time period. Suggestions for the sustainability of the program and for its adoption at other institutions and settings less dependent on extramural funding are provided.
Indexed as
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.