Evidence map›Paper›PMID 37949994›Full record

ReviewNature reviews. Neurology2023

Biomarkers in amyotrophic lateral sclerosis: current status and future prospects.

Roisin McMackin, Peter Bede, Caroline Ingre, Andrea Malaspina, Orla Hardiman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Methodological insights and clinical outcomes in ALS and FTLD: lessons from the SPIN cohort.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  5. Article
  6. Article
  7. Microglial HVCN1 Deficiency Improves Movement and Survival of SOD1Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. [Advances in the Structure and Function of Neurofilament Protein and Its Application in Early Diagnosis of Amyotrophic Lateral Sclerosis].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Review
  17. Review
  18. miRNA-214 to predict progression and survival in ALS.Journal of neurology, neurosurgery, and psychiatry · 2025
    Article
  19. Article
  20. 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.

Roisin McMackinDiscipline of Physiology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College Dublin, The University of Dublin, Dublin, Ireland.ORCID 0000-0002-9223-2241
Peter BedeAcademic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College Dublin, The University of Dublin, Dublin, Ireland.
Caroline IngreDepartment of Neuroscience, Karolinska Institute, Stockholm, Sweden.
Andrea MalaspinaDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID 0000-0002-8020-7567
Orla HardimanAcademic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College Dublin, The University of Dublin, Dublin, Ireland. hardimao@tcd.ie.ORCID 0000-0003-2610-1291

Funding

Motor Neurone Disease Association MALASPINA/APR13/817-791Motor Neurone Disease Association TURNER/OCT15/972-797
6 · The paper itself

Abstract

Disease heterogeneity in amyotrophic lateral sclerosis poses a substantial challenge in drug development. Categorization based on clinical features alone can help us predict the disease course and survival, but quantitative measures are also needed that can enhance the sensitivity of the clinical categorization. In this Review, we describe the emerging landscape of diagnostic, categorical and pharmacodynamic biomarkers in amyotrophic lateral sclerosis and their place in the rapidly evolving landscape of new therapeutics. Fluid-based markers from cerebrospinal fluid, blood and urine are emerging as useful diagnostic, pharmacodynamic and predictive biomarkers. Combinations of imaging measures have the potential to provide important diagnostic and prognostic information, and neurophysiological methods, including various electromyography-based measures and quantitative EEG-magnetoencephalography-evoked responses and corticomuscular coherence, are generating useful diagnostic, categorical and prognostic markers. Although none of these biomarker technologies has been fully incorporated into clinical practice or clinical trials as a primary outcome measure, strong evidence is accumulating to support their clinical utility.

Indexed as

Amyotrophic Lateral SclerosisBiomarkersDisease ProgressionDrug DevelopmentHumansPrognosisBiomarkers

Identifiers

What Socratic 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 Socratic graph.