Evidence map›Paper›PMID 37125056›Full record

ArticleJournal of clinical and translational science2023

Research unit network (RUN) as a learning research system.

Alejandro P Comellas, Jackline M Wangui-Verry, Kimberly J Sprenger, Patricia L Winokur, Patrick B Barlow, Maran Subramain

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alejandro P ComellasInstitute for Clinical and Translational Science, University of Iowa, Iowa City, IA, USA.
Jackline M Wangui-VerryInstitute for Clinical and Translational Science, University of Iowa, Iowa City, IA, USA.
Kimberly J SprengerInstitute for Clinical and Translational Science, University of Iowa, Iowa City, IA, USA.
Patricia L WinokurInstitute for Clinical and Translational Science, University of Iowa, Iowa City, IA, USA.
Patrick B BarlowInstitute for Clinical and Translational Science, University of Iowa, Iowa City, IA, USA.
Maran SubramainInstitute for Clinical and Translational Science, University of Iowa, Iowa City, IA, USA.ORCID https://orcid.org/0000-0002-1482-8226

Funding

Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Jong Sung Kim · 1990 to 2026
$40.5M
The University of Iowa Clinical and Translational Science AwardUL1TR002537 · NCATS · UNIVERSITY OF IOWA · PI HANSEN, MARLAN R, WINOKUR, PATRICIA · 2018 to 2022
$20.0M
NCATS NIH HHS UL1 TR002537NIEHS NIH HHS P30 ES005605
6 · The paper itself

Abstract

The clinical research units (CRUs) are one of the main spaces where both translational research and science take place. However, there is a lack of information about both best practices for CRU operations and, ultimately, benchmarks to evaluate CRU performance. The Research Unit Network (RUN) was created with the purpose to enable direct communication and collaboration among CRUs. An online survey was administered to further illustrate the functionality and impact of RUN. Thirty-one individual survey responses (39.2%) were included in the final analysis. The members value RUN monthly meetings (87.1%) as the most useful aspect of this network and CRU budgeting (67.7%) and staffing (61.3%) were the most relevant topics discussed. This is followed by EPIC - Research (58.1%), delegation of authority logs, unit signatures, and policies (51.6%), COVID-19 pandemic response (41.9%), the implementation of clinical trial management system (29.0%), and protocol deviations (19.4%). The intermediate goal of RUN is to identify best practices CRUs are establishing, implementing, and sharing these experiences with the goal to adopt them in different CRUs. The network's long-term goal is to establish standard benchmarks that can be used for evaluating the performance of CRUs across the nation.

Indexed as

clinical research unitsCTSAtsalearning research systemresearch unit networkRUN

Identifiers

PMID37125056
PMCPMC10130846

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.