Evidence map›Paper›PMID 30758078›Full record

ArticleJournal of veterinary internal medicine2019

Time course and prognostic value of serum GFAP, pNFH, and S100β concentrations in dogs with complete spinal cord injury because of intervertebral disc extrusion.

Natasha J Olby, Ji-Hey Lim, Nikki Wagner, Natalia Zidan, Peter J Early, Christopher L Mariani, Karen R Muñana, Eric Laber

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
6.8field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 38 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Natasha J OlbyDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina.ORCID https://orcid.org/0000-0003-1349-3484
Ji-Hey LimDepartment of Veterinary Medicine and Surgery, College of Veterinary Medicine, University of Missouri, Columbia, MO.
Nikki WagnerDepartment of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Natalia ZidanDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina.
Peter J EarlyDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina.ORCID https://orcid.org/0000-0003-3399-8500
Christopher L MarianiDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina.
Karen R MuñanaDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina.ORCID https://orcid.org/0000-0001-9592-6276
Eric LaberDepartment of Statistics, North Carolina State University, Raleigh, North Carolina.
North Carolina State University · USMissouri College · USUniversity of North Carolina at Chapel Hill · US

Funding

Statistical Methods for Cancer Clinical TrialsP01CA142538 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KOSOROK, MICHAEL R · 2010 to 2019
$21.3M
Assisi Animal HealthCongressionally Directed Medical Research Programs W81XWH-11-1-0772NCI NIH HHS P01 CA142538
6 · The paper itself

Abstract

backgroundA noninvasive biomarker is needed to predict recovery from severe spinal cord injury (SCI) because of thoracolumbar intervertebral disc extrusion (TL-IVDE). Proteins released from neural and glial cells can be detected in the blood and show promise as prognostic tools, but their concentration is influenced by time after injury. HYPOTHESIS/

objectivesSerum concentrations of glial fibrillary acidic protein (GFAP), phosphorylated neurofilament heavy chain (pNFH), and S100β will follow different time courses; measurement of combinations of these proteins will predict outcome. ANIMALS: Thirty-one dogs with TL-IVDE causing paralysis with no pain perception.

methodsProspective study. Serum samples were taken at presentation and intervals over 56 days and banked at -80°C. Glial fibrillary acidic protein, pNFH, and S100β concentrations were measured using ELISA tests and plotted against time from onset of nonambulatory status. Outcome was established at 6 months. The association between biomarker concentration and outcome was examined using logistic regression, receiver operator characteristics curve analysis, and model development.

resultsThirty-one dogs participated, 3/31 (10%) developed progressive myelomalacia and 19/31 (62%) recovered ambulation. Glial fibrillary acidic protein and S100β concentrations rose for the first 1 to 3 days, and were undetectable by 14 and 28 days, respectively. Phosphorylated neurofilament heavy chain concentrations peaked at 14 days and were detectable at 56 days. Glial fibrillary acidic protein concentrations in the first 72 hours after onset of nonambulatory status predicted recovery with an accuracy of 76.7%-89% depending on sample timing. CONCLUSIONS AND CLINICAL IMPORTANCE: Serum GFAP concentrations can be used to predict outcome in clinically complete SCI. A rapid inexpensive bedside test is needed.

Indexed as

AnimalsBiomarkersDogsGlial Fibrillary Acidic ProteinIntermediate FilamentsIntervertebral Disc DegenerationIntervertebral Disc DisplacementParalysisPhosphorylationPrognosisProspective StudiesS100 Calcium Binding Protein beta SubunitSpinal Cord InjuriesTime FactorsBiomarkersGlial Fibrillary Acidic ProteinS100 Calcium Binding Protein beta Subunitbiomarkerintervertebral disc diseasemyelomalaciaprognosis

Identifiers

PMID30758078
PMCPMC6430936
OpenAlexW2911456174

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.