Evidence map›Paper›PMID 26846363›Full record

ReviewMolecular neurobiology2017

The Next Generation of Biomarker Research in Spinal Cord Injury.

Elke Ydens, Ilse Palmers, Sven Hendrix, Veerle Somers

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular neurobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 22 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

4 authors at 1 institution in 1 country.

Elke YdensBiomedical Research Institute and Transnationale Universiteit Limburg, School of Life Sciences, Diepenbeek, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium.
Ilse PalmersBiomedical Research Institute and Transnationale Universiteit Limburg, School of Life Sciences, Diepenbeek, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium.
Sven HendrixBiomedical Research Institute and Transnationale Universiteit Limburg, School of Life Sciences, Diepenbeek, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium.
Veerle SomersBiomedical Research Institute and Transnationale Universiteit Limburg, School of Life Sciences, Diepenbeek, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium. veerle.somers@uhasselt.be.
Hasselt University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In traumatic spinal cord injury (SCI) patients, the assessment of the exact degree of lesion severity and neurological prognosis has proven to be extremely challenging. The current tools for predicting functional outcome in SCI patients such as clinical examination and magnetic resonance imaging are often inaccessible to unstable or polytraumatized patients, lack sensitivity, and are unreliable in the acute phase of the injury. Multiple candidate protein biomarkers known to be linked to the pathology have been studied for their potential to predict neurological outcome over time. This hypothesis-driven approach, however, has yielded only minimal success, and the reported individual markers lack sensitivity and correlation with specific outcome measures, which highlights the need for an unbiased high-throughput screening approach to identify novel candidate biomarkers. Antibodies were suggested to represent better biomarkers as their counterpart antigens, as they are highly specific and abundantly present in blood due to their inherent amplification and long half-life. Moreover, antibodies are easily accessible and are amenable to high-throughput screening. We therefore suggest an unbiased, high-throughput, and powerful antibody profiling procedure, named Serological antigen selection, based on complementary DNA (cDNA) phage display to combine the multiple benefits of stable and frequent antibodies and those of an unbiased method. The application of such an innovative and unbiased approach can complement the more traditional approaches to aid in the discovery of novel SCI-associated biomarkers.

Indexed as

AnimalsBiomarkersBiomedical ResearchDNA, ComplementaryHumansInflammation MediatorsSpinal Cord InjuriesBiomarkersDNA, ComplementaryInflammation MediatorsAntibodyBiomarkerPatientSerum

Identifiers

PMID26846363
OpenAlexW2261603188

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.