Evidence map›Paper›PMID 30794049›Full record

ReviewJournal of neurotrauma2020

Data Dissemination: Shortening the Long Tail of Traumatic Brain Injury Dark Data.

Bridget E Hawkins, J Russell Huie, Carlos Almeida, Jiapei Chen, Adam R Ferguson

Abstract readReview
In one paragraph

Review in Journal of neurotrauma, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Increasing Rigor of Preclinical Research to Maximize Opportunities for Translation.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Review
  4. Review
  5. Article
  6. Article
  7. Article
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  11. Review
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.

Bridget E HawkinsThe Moody Project for Translational Traumatic Brain Injury Research, Department of Anesthesiology, University of Texas Medical Branch, Galveston, Texas, USA.
J Russell HuieWeill Institutes for Neurosciences, Brain and Spinal Injury Center, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.
Carlos AlmeidaWeill Institutes for Neurosciences, Brain and Spinal Injury Center, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.
Jiapei ChenWeill Institutes for Neurosciences, Brain and Spinal Injury Center, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.
Adam R FergusonWeill Institutes for Neurosciences, Brain and Spinal Injury Center, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.

Funding

Maladaptive Plasticity in Spinal Cord Injury: Cellular MechanismsR01NS088475 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERGUSON, ADAM R · 2015 to 2019
$1.7M
Translational Outcomes Project: Visualizing Syndromic Information and Outcomes for Neurotrauma (TOP-VISION)UH3NS106899 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BEATTIE, MICHAEL S, BRESNAHAN, JACQUELINE C · 2020 to 2022
$1.2M
Translational Outcomes Project: Visualizing Syndromic Information and Outcomes for Neurotrauma (TOP-VISION)UG3NS106899 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BEATTIE, MICHAEL S, BRESNAHAN, JACQUELINE C · 2018 to 2019
$480k
SCI Consortium Study: Harnessing big-data for plasticity and rehabilitation in translational SCII01RX002245 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI ADAM R FERGUSON · 2017 to 2026
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Leveraging data-science for discovery in chronic TBII01RX002787 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI FERGUSON, ADAM R · 2018 to 2025
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NINDS NIH HHS R01 NS088475NINDS NIH HHS UG3 NS106899NINDS NIH HHS UH3 NS106899RRD VA I01 RX002245RRD VA I01 RX002787
6 · The paper itself

Abstract

Translation of traumatic brain injury (TBI) research findings from bench to bedside involves aligning multi-species data across diverse data types including imaging and molecular biomarkers, histopathology, behavior, and functional outcomes. In this review we argue that TBI translation should be acknowledged for what it is: a problem of big data that can be addressed using modern data science approaches. We review the history of the term

Indexed as

Big DataBrain Injuries, TraumaticInformation DisseminationTranslational Research, BiomedicalAnimalsDisease Models, AnimalHumansanalyticsbig datadata sharingFAIR principlestraumatic brain injury

Identifiers

PMID30794049
PMCPMC7698976

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.