Evidence map›Paper›PMID 36834733›Full record

ReviewInternational journal of molecular sciences2023

Review of Technological Challenges in Personalised Medicine and Early Diagnosis of Neurodegenerative Disorders.

Celtia Domínguez-Fernández, June Egiguren-Ortiz, Jone Razquin, Margarita Gómez-Galán, Laura De Las Heras-García, Elena Paredes-Rodríguez, Egoitz Astigarraga, Cristina Miguélez, Gabriel Barreda-Gómez

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
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  11. Review
  12. The role of nuclear medicine in neurodegenerative diseases: a narrative review.American journal of neurodegenerative disease · 2025
    Review
  13. Review
  14. Review
  15. Article
  16. Review
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  18. Exercise to Counteract Alzheimer's Disease: What Do Fluid Biomarkers Say?International journal of molecular sciences · 2024
    Review
  19. Review
  20. 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

9 authors.

Celtia Domínguez-FernándezResearch and Development Division, IMG Pharma Biotech, 48160 Derio, Spain.ORCID 0000-0002-0668-4672
June Egiguren-OrtizResearch and Development Division, IMG Pharma Biotech, 48160 Derio, Spain.
Jone RazquinDepartment of Pharmacology, Faculty of Medicine and Nursing, University of the Basque Country UPV/EHU, 48940 Leioa, Spain.
Margarita Gómez-GalánDepartment of Pharmacology, Faculty of Medicine and Nursing, University of the Basque Country UPV/EHU, 48940 Leioa, Spain.
Laura De Las Heras-GarcíaDepartment of Pharmacology, Faculty of Medicine and Nursing, University of the Basque Country UPV/EHU, 48940 Leioa, Spain.ORCID 0000-0001-9728-8730
Elena Paredes-RodríguezResearch and Development Division, IMG Pharma Biotech, 48160 Derio, Spain.
Egoitz AstigarragaResearch and Development Division, IMG Pharma Biotech, 48160 Derio, Spain.ORCID 0000-0002-0338-5554
Cristina MiguélezDepartment of Pharmacology, Faculty of Medicine and Nursing, University of the Basque Country UPV/EHU, 48940 Leioa, Spain.ORCID 0000-0001-6624-2932
Gabriel Barreda-GómezResearch and Development Division, IMG Pharma Biotech, 48160 Derio, Spain.ORCID 0000-0002-8330-1567

Funding

Basque Government IT1706-22Basque Government PUE21-03MCIN/AEI 021-126434OB-I00University of the Basque Country COLAB20/07University of the Basque Country GIU19/092
6 · The paper itself

Abstract

Neurodegenerative disorders are characterised by progressive neuron loss in specific brain areas. The most common are Alzheimer's disease and Parkinson's disease; in both cases, diagnosis is based on clinical tests with limited capability to discriminate between similar neurodegenerative disorders and detect the early stages of the disease. It is common that by the time a patient is diagnosed with the disease, the level of neurodegeneration is already severe. Thus, it is critical to find new diagnostic methods that allow earlier and more accurate disease detection. This study reviews the methods available for the clinical diagnosis of neurodegenerative diseases and potentially interesting new technologies. Neuroimaging techniques are the most widely used in clinical practice, and new techniques such as magnetic resonance imaging (MRI) and positron emission tomography (PET) have significantly improved the diagnosis quality. Identifying biomarkers in peripheral samples such as blood or cerebrospinal fluid is a major focus of the current research on neurodegenerative diseases. The discovery of good markers could allow preventive screening to identify early or asymptomatic stages of the neurodegenerative process. These methods, in combination with artificial intelligence, could contribute to the generation of predictive models that will help clinicians in the early diagnosis, stratification, and prognostic assessment of patients, leading to improvements in patient treatment and quality of life.

Indexed as

Alzheimer DiseasePrecision MedicineArtificial IntelligenceBiomarkersEarly DiagnosisHumansQuality of LifeBiomarkersalpha-synucleinAlzheimer’s diseasebeta-amyloidbiomarkerexosomesimaging techniquesneuroinflammationParkinson’s diseasereactive antibodies

Identifiers

PMID36834733
PMCPMC9968142

What Socratic holds

Textmetadata
LicenceCC BY
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.