Evidence map›Paper›PMID 35115728›Full record

ReviewNature reviews. Neurology2022

Blood GFAP as an emerging biomarker in brain and spinal cord disorders.

Ahmed Abdelhak, Matteo Foschi, Samir Abu-Rumeileh, John K Yue, Lucio D'Anna, Andre Huss, Patrick Oeckl, Albert C Ludolph, Jens Kuhle, Axel Petzold and 4 more

Registry-linked trialOpen access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07585149 (Generating Intervals of Reference FFor Early Life Brain Biomarkers.), which is not on this map. Cited by 469 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
469citing papers in PubMed, 5 pooled it
90.2field-weighted citation impact, top 1% 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.

NCT07585149 recruitingnot on this mapstarted 2026, after this paper: background citation

Generating Intervals of Reference FFor Early Life Brain Biomarkers.

TypeobservationalSponsorUniversity College CorkRan2026 to 2027Enrolled150ConditionsReference Intervals, Biomarker in Early Diagnosis, Neonatal
3 · Its place in the literature

Who cites it

469 citing papers in PubMed, 5 syntheses or guidelines pooled it, 763 citations in OpenAlex.

  1. Pooled it
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  5. Blood-based biomarkers for Alzheimer's disease in Down syndrome: A systematic review and meta-analysis.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Pooled it
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  9. Article
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  17. Use of Fluid Biomarkers in NMOSD and MOGAD: Clinical and Research Applications.Neurology(R) neuroimmunology & neuroinflammation · 2026
    Review
  18. Article
  19. Review
  20. Article

409 more citing papers are in PubMed but not listed here.

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

14 authors at 8 institutions in 6 countries.

Ahmed AbdelhakDepartment of Neurology, University of California San Francisco (UCSF), San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-9731-4169
Matteo FoschiDepartment of Neuroscience, Neurology Unit, S. Maria delle Croci Hospital - AUSL Romagna, ambito di Ravenna, Ravenna, Italy.ORCID http://orcid.org/0000-0002-0321-7155
Samir Abu-RumeilehDepartment of Neurology, University Hospital of Ulm, Ulm, Germany.
John K YueDepartment of Neurosurgery, University of California San Francisco (UCSF), San Francisco, CA, USA.
Lucio D'AnnaDepartment of Stroke and Neuroscience, Charing Cross Hospital, Imperial College London NHS Healthcare Trust, London, UK.
Andre HussDepartment of Neurology, University Hospital of Ulm, Ulm, Germany.
Patrick OecklDepartment of Neurology, University Hospital of Ulm, Ulm, Germany.ORCID http://orcid.org/0000-0002-7652-7023
Albert C LudolphDepartment of Neurology, University Hospital of Ulm, Ulm, Germany.
Jens KuhleMultiple Sclerosis Centre, Neurologic Clinic and Policlinic, Department of Head, Spine and Neuromedicine, University Hospital of Basel, Basel, Switzerland.
Axel PetzoldThe National Hospital for Neurology and Neurosurgery, Queen Square, UCL Institute of Neurology, Moorfields Eye Hospital, London, UK.ORCID http://orcid.org/0000-0002-0344-9749
Geoffrey T ManleyDepartment of Neurosurgery, University of California San Francisco (UCSF), San Francisco, CA, USA.
Ari J GreenDepartment of Neurology, University of California San Francisco (UCSF), San Francisco, CA, USA.
Markus OttoDepartment of Neurology, University Hospital of Ulm, Ulm, Germany.ORCID http://orcid.org/0000-0003-4273-4267
Hayrettin TumaniDepartment of Neurology, University Hospital of Ulm, Ulm, Germany. Hayrettin.tumani@uni-ulm.de.ORCID http://orcid.org/0000-0002-1647-6201
University of California, San Francisco · USUniversity Hospital Ulm · DEGerman Center for Neurodegenerative Diseases · DEAmsterdam Neuroscience · NLCharing Cross Hospital · GBFachklinik für Neurologie Dietenbronn · DEOspedale "Santa Maria delle Croci" di Ravenna · ITUniversity Hospital of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood-derived biomarkers for brain and spinal cord diseases are urgently needed. The introduction of highly sensitive immunoassays led to a rapid increase in the number of potential blood-derived biomarkers for diagnosis and monitoring of neurological disorders. In 2018, the FDA authorized a blood test for clinical use in the evaluation of mild traumatic brain injury (TBI). The test measures levels of the astrocytic intermediate filament glial fibrillary acidic protein (GFAP) and neuroaxonal marker ubiquitin carboxy-terminal hydrolase L1. In TBI, blood GFAP levels are correlated with clinical severity and extent of intracranial pathology. Evidence also indicates that blood GFAP levels hold the potential to reflect, and might enable prediction of, worsening of disability in individuals with progressive multiple sclerosis. A growing body of evidence suggests that blood GFAP levels can be used to detect even subtle injury to the CNS. Most importantly, the successful completion of the ongoing validation of point-of-care platforms for blood GFAP might ameliorate the decision algorithms for acute neurological diseases, such as TBI and stroke, with important economic implications. In this Review, we provide a systematic overview of the evidence regarding the utility of blood GFAP as a biomarker in neurological diseases. We propose a model for GFAP concentration dynamics in different conditions and discuss the limitations that hamper the widespread use of GFAP in the clinical setting. In our opinion, the clinical use of blood GFAP measurements has the potential to contribute to accelerated diagnosis and improved prognostication, and represents an important step forward in the era of precision medicine.

Indexed as

Intermediate FilamentsSpinal Cord DiseasesBiomarkersBrainGlial Fibrillary Acidic ProteinHumansBiomarkersGlial Fibrillary Acidic Protein

Identifiers

PMID35115728
OpenAlexW4213416459

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.