Evidence map›Paper›PMID 42282131›Full record

ArticleInternational journal of clinical biostatistics and biometrics2015

Training a Nonclinician to Become a Leader in Transdisciplinary Clinical Research: Clinical Observerships.

Douglas D Gunzler, James C Spilsbury, Michael Fu, Susannah Rose, Neal V Dawson, Shirley Moore, Thomas E Love

Abstract read
In one paragraph

Article in International journal of clinical biostatistics and biometrics, 2015. 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.

Douglas D GunzlerCenter for Health Care Research and Policy, Case Western Reserve University, USA.
James C SpilsburyCenter for Clinical Investigation, Case Western Reserve University, USA.
Michael FuDepartment of Electrical Engineering and Computer Science, Case Western Reserve University, USA.
Susannah RoseDepartment of Bioethics, Cleveland Clinic, USA.
Neal V DawsonCenter for Health Care Research and Policy, Case Western Reserve University, USA.
Shirley MooreFrances Payne Bolton School of Nursing, Case Western Reserve University, USA.
Thomas E LoveCenter for Health Care Research and Policy, Case Western Reserve University, USA.

Funding

Clinical and Translational Science Collaborative of ClevelandKL2TR000440 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$11.1M
NCATS NIH HHS KL2 TR000440
6 · The paper itself

Abstract

As institutions and funders expand their efforts toward multidisciplinary, interdisciplinary, and even transdisciplinary research, there is a substantial need for scientists who can lead such efforts. The traditional image of a leader of transdisciplinary clinical research is a quantitatively savvy clinician conducting research at some point along the continuum from the "bench to the bedside." However, this is not the only alternative. Nonclinician scientists can also provide effective leadership in multidisciplinary clinical research teams. To foster the development of such nonclinician-leaders, we suggest the completion of a comprehensive clinical observership as an appropriate and valuable training activity. The clinical setting can foster unique insight, providing invaluable training for leadership in translational research. Observing both providers and patients immerses nonclinician scientists in the health care experience, providing them with direct exposure to clinicians, patients, and patients' families, and thereby motivating patient-centered research.

Identifiers

PMID42282131
PMCPMC13251792

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.