Evidence map›Paper›PMID 30370071›Full record

ArticleJournal of clinical and translational science2018

Participatory methods to support team science development for predictive analytics in health.

Armen C Arevian, Doug Bell, Mark Kretzman, Connie Kasari, Shrikanth Narayanan, Carl Kesselman, Shinyi Wu, Paul Di Capua, William Hsu, Mathew Keener and 3 more

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. 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

13 authors.

Armen C ArevianSemel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA.
Doug BellGeneral Internal Medicine, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Mark KretzmanSemel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA.
Connie KasariSemel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA.
Shrikanth NarayananViterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
Carl KesselmanEpstein Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, CA, USA.
Shinyi WuSchool of Social Work, University of Southern California, Los Angeles, CA, USA.
Paul Di CapuaBaptist Health Medical Group, Miami, FL, USA.
William HsuMedical Imaging Informatics Group, Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-5168-070X
Mathew KeenerBlackbird Health, Pittsburgh, PA, USA.
Joshua PevnickDivision of General Internal Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Kenneth B WellsSemel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA.
Bowen ChungSemel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA.

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
UCLA Clinical and Translational Science InstituteKL2TR000122 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$4.5M
1/2-Early Intervention for Youth at Risk for Bipolar DisorderR01MH093676 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MIKLOWITZ, DAVID JAY · 2012 to 2016
$3.6M
Minimizing Errors in Medication Histories Obtained at Hospital AdmissionK23AG049181 · NIA · CEDARS-SINAI MEDICAL CENTER · PI PEVNICK, JOSHUA M · 2015 to 2018
$707k
NCATS NIH HHS KL2 TR000122NCATS NIH HHS UL1 TR000124NIA NIH HHS K23 AG049181NIMH NIH HHS R01 MH093676
6 · The paper itself

Abstract

Predictive analytics in health is a complex, transdisciplinary field requiring collaboration across diverse scientific and stakeholder groups. Pilot implementation of participatory research to foster team science in predictive analytics through a partnered-symposium and funding competition. In total, 85 stakeholders were engaged across diverse translational domains, with a significant increase in perceived importance of early inclusion of patients and communities in research. Participatory research approaches may be an effective model for engaging broad stakeholders in predictive analytics.

Indexed as

participatory researchPredictive analyticsstakeholder engagementteam sciencetranslational research

Identifiers

PMID30370071
PMCPMC6199545

What OpenQuestion holds

Textmetadata
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.