Evidence map›Paper›PMID 38510201›Full record

ArticleAmerican heart journal plus : cardiology research and practice2023

Team principles for successful interdisciplinary research teams.

Sherry-Ann Brown, Rodney Sparapani, Kristen Osinski, Jun Zhang, Jeffrey Blessing, Feixiong Cheng, Abdulaziz Hamid, Mehri Bagheri MohamadiPour, Jessica Castrillon Lal, Anai N Kothari and 11 more

Abstract read
In one paragraph

Article in American heart journal plus : cardiology research and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

21 authors.

Sherry-Ann BrownCardio-Oncology Program, Division of Cardiovascular Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Rodney SparapaniInstitute for Health and Equity, Medical College of Wisconsin, Milwaukee, WI, USA.
Kristen OsinskiClinical Science and Translational Institute, Medical College of Wisconsin, Milwaukee, WI, USA.
Jun ZhangDepartment of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
Jeffrey BlessingDepartment of Computer Science, Milwaukee School of Engineering, USA.
Feixiong ChengGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Abdulaziz HamidMedical College of Wisconsin, Milwaukee, WI, USA.
Mehri Bagheri MohamadiPourDepartment of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
Jessica Castrillon LalGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Anai N KothariDivision of Surgical Oncology, Medical College of Wisconsin, Milwaukee, WI, USA.
Pedro CaraballoDepartment of Medicine, Mayo Clinic, Rochester, MN, USA.
Peter NoseworthyDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Roger H JohnsonCancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Kathryn HansenGreen Bay, WI, USA.
Louise Y SunDivision of Cardiac Anesthesiology, University of Ottawa Heart Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
Bradley CrottyDepartment of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Yee Chung ChengCancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Gift EchefuDepartment of Internal Medicine, Baton Rouge General Medical Center, Baton Rouge, LA, USA.
Krishna DoshiDepartment of Internal Medicine, Advocate Lutheran General Hospital, Park Ridge, IL, USA.
Jessica OlsonInstitute for Health and Equity, Medical College of Wisconsin, Milwaukee, WI, USA.
Cardio-Oncology Artificial Intelligence Informatics & Precision (CAIP) Research Team Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interdisciplinary research teams can be extremely beneficial when addressing difficult clinical problems. The incorporation of conceptual and methodological strategies from a variety of research disciplines and health professions yields transformative results. In this setting, the long-term goal of team science is to improve patient care, with emphasis on population health outcomes. However, team principles necessary for effective research teams are rarely taught in health professional schools. To form successful interdisciplinary research teams in cardio-oncology and beyond, guiding principles and organizational recommendations are necessary. Cardiovascular disease results in annual direct costs of $220 billion (about $680 per person in the US) and is the leading cause of death for cancer survivors, including adult survivors of childhood cancers. Optimizing cardio-oncology research in interdisciplinary research teams has the potential to aid in the investigation of strategies for saving hundreds of thousands of lives each year in the United States and mitigating the annual cost of cardiovascular disease. Despite published reports on experiences developing research teams across organizations, specialties and settings, there is no single journal article that compiles principles for cardiology or cardio-oncology research teams. In this review, recurring threads linked to working as a team, as well as optimal methods, advantages, and problems that arise when managing teams are described in the context of career development and research. The worth and hurdles of a team approach, based on practical lessons learned from establishing our multidisciplinary research team and information gleaned from relevant specialties in the development of a successful team are presented.

Indexed as

Cardio-oncologyInterdisciplinary teamsTeam buildingTeam mentorshipTeam science

Identifiers

PMID38510201
PMCPMC10946054

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.