ArticleNeurology2018
Neurofilament light, biomarkers, and Charcot-Marie-Tooth disease.
Article in Neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Evaluating Glial Fibrillary Acidic Protein and Neurofilament Light as Potential Biomarkers for Spinocerebellar Ataxia 7.International journal of molecular sciences · 2025Article
- Biallelic variants in COQ7 cause distal hereditary motor neuropathy with upper motor neuron signs.Brain : a journal of neurology · 2023Article
- Intraepidermal nerve fibre density as biomarker in Charcot-Marie-Tooth disease type 1A.Brain communications · 2020Article
- Exploiting Sphingo- and Glycerophospholipid Impairment to Select Effective Drugs and Biomarkers for CMT1A.Frontiers in neurology · 2020Article
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
29321227What OpenQuestion holds
Registered trials
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.