Evidence map›Paper›PMID 28135827›Full record

ArticleClinical trials (London, England)2017

A conceptual model for the development process of confirmatory adaptive clinical trials within an emergency research network.

Samkeliso C Mawocha, Michael D Fetters, Laurie J Legocki, Timothy C Guetterman, Shirley Frederiksen, William G Barsan, Roger J Lewis, Donald A Berry, William J Meurer

Abstract read
In one paragraph

Article in Clinical trials (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

9 authors.

Samkeliso C Mawocha1 Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA.
Michael D Fetters2 Department of Family Medicine, University of Michigan, Ann Arbor, MI, USA.
Laurie J Legocki2 Department of Family Medicine, University of Michigan, Ann Arbor, MI, USA.
Timothy C Guetterman2 Department of Family Medicine, University of Michigan, Ann Arbor, MI, USA.
Shirley Frederiksen1 Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA.
William G Barsan1 Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA.
Roger J Lewis3 Department of Emergency Medicine, Los Angeles Biomedical Research Institute, David Geffen School of Medicine at UCLA, Harbor-UCLA Medical Center, Torrance, CA, USA.
Donald A Berry4 Berry Consultants, Austin, TX, USA.
William J Meurer1 Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA.

Funding

Neurologic Emergencies Treatment Trials Network: Clinical Coordinating CenterU01NS056975 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BARSAN, WILLIAM G · 2006 to 2015
$40.4M
Center for Clinical and Translational Sciences (CCTS)UL1TR000371 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2012 to 2016
$13.4M
Neurological Emergencies Treatment Trials Network Statistical and Data ManagementU01NS059041 · NINDS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DURKALSKI, VALERIE L, PALESCH, YUKO Y · 2006 to 2015
$9.1M
Accelerating Drug and Device Evaluation through Innovative Clinical Trial DesignU01NS073476 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BARSAN, WILLIAM G, BERRY, DONALD A · 2010 to 2012
$2.0M
NCATS NIH HHS UL1 TR000371NINDS NIH HHS U01 NS056975NINDS NIH HHS U01 NS059041NINDS NIH HHS U01 NS073476
6 · The paper itself

Abstract

backgroundAdaptive clinical trials use accumulating data from enrolled subjects to alter trial conduct in pre-specified ways based on quantitative decision rules. In this research, we sought to characterize the perspectives of key stakeholders during the development process of confirmatory-phase adaptive clinical trials within an emergency clinical trials network and to build a model to guide future development of adaptive clinical trials.

methodsWe used an ethnographic, qualitative approach to evaluate key stakeholders' views about the adaptive clinical trial development process. Stakeholders participated in a series of multidisciplinary meetings during the development of five adaptive clinical trials and completed a Strengths-Weaknesses-Opportunities-Threats questionnaire. In the analysis, we elucidated overarching themes across the stakeholders' responses to develop a conceptual model.

resultsFour major overarching themes emerged during the analysis of stakeholders' responses to questioning: the perceived statistical complexity of adaptive clinical trials and the roles of collaboration, communication, and time during the development process. Frequent and open communication and collaboration were viewed by stakeholders as critical during the development process, as were the careful management of time and logistical issues related to the complexity of planning adaptive clinical trials.

conclusionThe Adaptive Design Development Model illustrates how statistical complexity, time, communication, and collaboration are moderating factors in the adaptive design development process. The intensity and iterative nature of this process underscores the need for funding mechanisms for the development of novel trial proposals in academic settings.

Indexed as

Research DesignAdaptive Clinical Trials as TopicBiomedical ResearchCommunicationCooperative BehaviorHumansModels, StatisticalQualitative ResearchSurveys and QuestionnairesAdaptive clinical trialsconfirmatory-phase clinical trialsmixed methodsneurology clinical trialsqualitative researchStrength–Weaknesses–Opportunities–Threats

Identifiers

PMID28135827
PMCPMC5446276

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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.