Evidence map›Paper›PMID 23544088›Full record

ArticlePloS one2013

Derivation of multivariate syndromic outcome metrics for consistent testing across multiple models of cervical spinal cord injury in rats.

Adam R Ferguson, Karen-Amanda Irvine, John C Gensel, Jessica L Nielson, Amity Lin, Johnathan Ly, Mark R Segal, Rajiv R Ratan, Jacqueline C Bresnahan, Michael S Beattie

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 5% of its field
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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 5 institutions in 1 country.

Adam R FergusonBrain and Spinal Injury Center (BASIC), Department of Neurological Surgery, University of California San Francisco, San Francisco, California, United States of America. adam.ferguson@ucsf.edu
Karen-Amanda Irvine
John C Gensel
Jessica L Nielson
Amity Lin
Johnathan Ly
Mark R Segal
Rajiv R Ratan
Jacqueline C Bresnahan
Michael S Beattie
University of California, San Francisco · USNeurological Surgery · USCornell University · USStanford University · USUniversity of Kentucky · US

Funding

TRANSCRIPTIONAL RESPONSES TO MITOCHONDRIAL DYSFUNCTIONP01AG014930 · NIA · WINIFRED MASTERSON BURKE MED RES INST · PI GIBSON, GARY E · 1999 to 2020
$30.7M
Mechanisms of secondary injury after SCIR01NS038079 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BEATTIE, MICHAEL S, BRESNAHAN, JACQUELINE C · 1999 to 2015
$5.8M
Recovery of sacral spinal reflexes after transplantationR01NS031193 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BEATTIE, MICHAEL S · 1994 to 2006
$2.3M
Bioinformatics For Translational Spinal Cord Injury ResearchR01NS067092 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERGUSON, ADAM R · 2010 to 2014
$1.6M
Metaplasticity and Recovery After Spinal Cord Injury: Cellular MechanismsR01NS069537 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERGUSON, ADAM R · 2010 to 2012
$981k
Cervical spinal injury and demyelination in aged ratsR21AG032518 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BEATTIE, MICHAEL S · 2009 to 2010
$346k
Translational outcome measures of cervical spinal cord injuryF32NS079030 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NIELSON, JESSICA LEIGH · 2012 to 2014
$107k
NIA NIH HHS AG032518NIA NIH HHS P01 AG014930NIA NIH HHS R21 AG032518NINDS NIH HHS F32 NS079030NINDS NIH HHS F32NS079030NINDS NIH HHS NS031193NINDS NIH HHS NS038079NINDS NIH HHS NS067092NINDS NIH HHS NS069537NINDS NIH HHS R01 NS031193NINDS NIH HHS R01 NS038079NINDS NIH HHS R01 NS067092NINDS NIH HHS R01 NS069537
6 · The paper itself

Abstract

Spinal cord injury (SCI) and other neurological disorders involve complex biological and functional changes. Well-characterized preclinical models provide a powerful tool for understanding mechanisms of disease; however managing information produced by experimental models represents a significant challenge for translating findings across research projects and presents a substantial hurdle for translation of novel therapies to humans. In the present work we demonstrate a novel 'syndromic' information-processing approach for capitalizing on heterogeneous data from diverse preclinical models of SCI to discover translational outcomes for therapeutic testing. We first built a large, detailed repository of preclinical outcome data from 10 years of basic research on cervical SCI in rats, and then applied multivariate pattern detection techniques to extract features that are conserved across different injury models. We then applied this translational knowledge to derive a data-driven multivariate metric that provides a common 'ruler' for comparisons of outcomes across different types of injury (NYU/MASCIS weight drop injuries, Infinite Horizons (IH) injuries, and hemisection injuries). The findings revealed that each individual endpoint provides a different view of the SCI syndrome, and that considering any single outcome measure in isolation provides a misleading, incomplete view of the SCI syndrome. This limitation was overcome by taking a novel multivariate integrative approach for leveraging complex data from preclinical models of neurological disease to identify therapies that target multiple outcomes. We suggest that applying this syndromic approach provides a roadmap for translating therapies for SCI and other complex neurological diseases.

Indexed as

AnimalsBehavior, AnimalCervical VertebraeContusionsDisease Models, AnimalFemaleLocomotionMultivariate AnalysisPrincipal Component AnalysisRatsRats, Long-EvansRecovery of FunctionReproducibility of ResultsSeverity of Illness IndexSpinal Cord InjuriesSyndrome

Identifiers

PMID23544088
PMCPMC3609747
OpenAlexW2073751266

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.