Evidence map›Paper›PMID 40416685›Full record

ArticleFrontiers in public health2025

Public health emergency accelerated research response-the Clinical and Translational Science Institute of Southeast Wisconsin COVID-19 research initiative.

Michael P Anello, Doriel D Ward, Orsolya M Garrison, Amit Gode, Octavian C Ioachimescu, David R Friedland, Reza Shaker

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Michael P Anello *Clinical and Translational Science Institute of Southeast Wisconsin, The Medical College of Wisconsin, Milwaukee, WI, United States.
Doriel D Ward *Clinical and Translational Science Institute of Southeast Wisconsin, The Medical College of Wisconsin, Milwaukee, WI, United States.
Orsolya M Garrison *Clinical and Translational Science Institute of Southeast Wisconsin, The Medical College of Wisconsin, Milwaukee, WI, United States.
Amit GodeClinical and Translational Science Institute of Southeast Wisconsin, The Medical College of Wisconsin, Milwaukee, WI, United States.
Octavian C IoachimescuClinical and Translational Science Institute of Southeast Wisconsin, The Medical College of Wisconsin, Milwaukee, WI, United States.
David R FriedlandClinical and Translational Science Institute of Southeast Wisconsin, The Medical College of Wisconsin, Milwaukee, WI, United States.
Reza ShakerClinical and Translational Science Institute of Southeast Wisconsin, The Medical College of Wisconsin, Milwaukee, WI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In March 2020, the National Center for Advancing Translational Sciences-Clinical and Translational Science Awards (CTSA) Program issued an urgent "Call to Action," requesting CTSA hubs to accelerate clinical and translational research (C&TR) in response to the COVID-19 public health emergency. The Clinical and Translational Science Institute of Southeast Wisconsin (CTSI) quickly responded by launching a regional research initiative among its eight academic and healthcare partner institutions to nucleate teams around COVID-19 C&TR. Methods: A comprehensive search of COVID-19 funding opportunities, combined with suggestions from CTSI leadership and C&TR investigators, produced a list of 31 distinct C&TR questions that were used to nucleate investigators into teams. A survey was shared with the faculty of all eight partner institutions to solicit interest in joining the teams. Multidisciplinary team formation was based on a novel CTSI model, called the "Team Science-Guided Integrated Clinical and Research Ensemble (Ensemble)." In this model, teams are formed around an unmet patient medical need, based on the intentional recruitment of members from three domains: (1) the clinical and translational research enterprise, (2) the health care systems, and (3) the community of stakeholders. The teams were provided no funding, but received substantial CTSI research and administrative support. Results: Forty-one teams were formed, and 243 investigators participated during the first year of the initiative. Team efforts resulted in the submission of 21 grant proposals, totaling $32,528,297. Three grant proposals were funded, totaling $609,888. The research initiative generated eight publications and had a significant impact on patient health, involving a combined total of 456 research participants. The initiative led to several systemic improvements, by (1) exposing investigators to team science-guided C&TR (Ensembles), (2) increasing inter-institutional and inter-departmental collaborations, (3) creating new partnerships with community organizations, and (4) providing qualitative data on lessons learned. Conclusion: The COVID-19 regional research initiative provided a compelling model of how basic science, clinical/translational, and community researchers can be mobilized for accelerated C&TR to address a public health threat. The initiative demonstrated that the fundamentals of the novel CTSI Ensemble team concept can be leveraged to expedite the formation of highly efficient teams.

Indexed as

COVID-19Public HealthTranslational Research, BiomedicalTranslational Science, BiomedicalHumansResearch Support as TopicSARS-CoV-2Wisconsinclinical and translational science awarddisaster medicineensemblemultidisciplinary collaborationmulti-institutional partnershipsteam science and practicetranslational and clinical researchtranslational workforce development

Identifiers

PMID40416685
PMCPMC12098277

What OpenQuestion holds

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Registered trials

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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.