Evidence map›Paper›PMID 33948282›Full record

ArticleJournal of clinical and translational science2020

Incorporating professional recommendations into a graduate-level statistical consulting laboratory: A case study.

Adam P Sima, Viviana A Rodriguez, Keighly E Bradbrook, Brian S DiPace, Victoria Okhomina

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2020. 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. How to write statistical analysis section in medical research.Journal of investigative medicine : the official publication of the American Federation for Clinical Research · 2022
    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

5 authors.

Adam P SimaDepartment of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.ORCID https://orcid.org/0000-0001-8426-9987
Viviana A RodriguezDepartment of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Keighly E BradbrookDepartment of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Brian S DiPaceDepartment of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Victoria OkhominaDepartment of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.

Funding

Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
NCATS NIH HHS UL1 TR002649
6 · The paper itself

Abstract

introductionThere has been a recent trend in medical research towards a more collaborative relationship between statisticians and clinical investigators. This has led to an increased focus on the most efficient and effective ways to structure, conduct, and measure the impact of organizations that provide statistical services to clinical investigators. Several recent guidelines and recommendations on the conduct of statistical consulting services(SCSs) have been made in response to this need, focusing on larger SCSs consisting primarily of faculty and staff statisticians. However, the application of these recommendations to consulting services primarily staffed by graduate students, which have the dual role of providing a professional service and training, remains unclear.

methodsGuidelines and recommendations, primarily from the Clinical and Translational Science (CTSA) consortium, were applied to a SCS staffed primarily by graduate students in an academic health center. A description of the organizational structure and outcomes after 3 years of operation is presented.

resultsThe guidelines recommended by the CTSA consortium and other groups were successfully incorporated into the graduate consulting laboratory. At almost one new project request per week, the consulting laboratory demonstrated a large bandwidth and had an excellent feedback from investigators.

conclusionsGuidelines developed for larger statistical consulting organizations are able to be applied in student-led consultation organizations. Outcomes and recommendations from 3.5 years of operation are used to describe the successes and challenges we have encountered.

Indexed as

BERDBiostatistical consultingcollaborationconsulting laboratoryCTSA guidelinesgraduate studentmetrics

Identifiers

PMID33948282
PMCPMC8057384

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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.