ArticleClinical and translational science2025
A Survey Study of Roadblocks in Translational Science.
Article in Clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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, 1 synthesis or guideline pooled it.
- Global trends, translational gaps, and emerging research directions inFrontiers in fungal biology · 2026Pooled it
- Current Status of Cellular and Gene-Based Therapies for Congenital Metabolic Disorders: A Review.Medical science monitor : international medical journal of experimental and clinical research · 2026Review
- Why evidence struggles to shape musculoskeletal health care and surgical practice in Australia: insights from an Australian clinician survey.BMC health services research · 2026Article
- A Survey Study of Roadblocks in Translational Science.Clinical and translational science · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Clinical and translational science needs to address roadblocks to the translational processes. We conducted a survey at two institutions, a private medical school and a large public university, to understand the frequency and distribution of barriers and roadblocks to research. We reviewed the literature to compile a pool of barriers and roadblocks and convened a panel of relevant stakeholders to develop a 20-item questionnaire. Survey respondents were asked to select and prioritize the five leading clinical and translational roadblocks, provide information regarding their academic degrees and rank/position, complete open-ended items regarding their areas of research, and optionally add additional remarks in a comment box. The survey was disseminated in August 2022 to faculty and staff with active research protocols at Baylor College of Medicine and the University of Houston. In total, 227 respondents completed the survey. Their disciplines were basic science (29.5%), translational research (52.9%), clinical research (55.5%), community-engaged research (9.7%), and educational research (9.7%). Respondents identified (1) lack of access to trained research coordinators, (2) lack of understanding about different resources that facilitate research, (3) complex regulatory environment and delays, (4) fragmented infrastructure for administrative and fiscal processes, and (5) inadequate funding for pilot projects to foster new research. Other roadblocks included lack of established community stakeholder partnerships, inadequate access to medical record data, and limited biostatistical support. We identified leading roadblocks to research from the perspectives of scientists and staff conducting clinical and translational research. Operational innovations addressing these roadblocks can accelerate the pace of translation.
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.