Evidence map›Paper›PMID 20406070›Full record

ReviewBiomarkers in medicine2010

The application of biomarkers in clinical trials for motor neuron disease.

Jeban Ganesalingam, Robert Bowser

Abstract readReview
In one paragraph

Review in Biomarkers in medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Therapeutic neuroprotective agents for amyotrophic lateral sclerosis.Cellular and molecular life sciences : CMLS · 2013
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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

2 authors.

Jeban GanesalingamDepartment of Clinical Neurosciences, Institute of Psychiatry, Kings College London, UK.
Robert Bowser

Funding

Peptide and Protein Biomarkers for Amyotrophic Lateral Sclerosis (ALS)R01NS061867 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BOWSER, ROBERT P · 2009 to 2013
$1.6M
Peptide and Protein Biomarkers for Amyotrophic Lateral Sclerosis (ALS)R56NS061867 · NINDS · ST. JOSEPH'S HOSPITAL AND MEDICAL CENTER · PI BOWSER, ROBERT P · 2014 to 2014
$687k
NINDS NIH HHS NS061867NINDS NIH HHS R01 NS061867NINDS NIH HHS R56 NS061867
6 · The paper itself

Abstract

The interest and research into disease-related biomarkers has greatly accelerated over the last 10 years. The potential clinical benefits for disease-specific biomarkers include a more rapid and accurate disease diagnosis, and potential reduction in size and duration of clinical drug trials, which would speed up drug development. The application of biomarkers into the clinical arena of motor neuron disease should both determine if a drug hits its proposed target and whether the drug alters the course of disease. This article will highlight the progress made in discovering suitable biomarker candidates from a variety of sources, including imaging, neurophysiology and proteomics. For biomarkers to have clinical utility, specific criteria must be satisfied. While there has been tremendous effort to discover biomarkers, very few have been translated to the clinic. The bottlenecks in the biomarker pipeline will be highlighted as well as lessons that can be learned from other disciplines, such as oncology.

Indexed as

BiomarkersAmyotrophic Lateral SclerosisBiological Specimen BanksBiomarkers, PharmacologicalClinical Trials as TopicDiagnostic ImagingHumansMotor Neuron DiseaseNervous System Physiological PhenomenaProteomicsBiomarkersBiomarkers, Pharmacological

Identifiers

PMID20406070
PMCPMC2897051

What OpenQuestion holds

Textmetadata
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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.