Evidence map›Paper›PMID 33281543›Full record

ReviewFrontiers in neuroscience2020

Neurodegenerative Disorders of the Eye and of the Brain: A Perspective on Their Fluid-Dynamical Connections and the Potential of Mechanism-Driven Modeling.

Giovanna Guidoboni, Riccardo Sacco, Marcela Szopos, Lorenzo Sala, Alice Chandra Verticchio Vercellin, Brent Siesky, Alon Harris

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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.

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 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. C9ORF72 Deficiency Results in Neurodegeneration in the Zebrafish Retina.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  6. Article
  7. Article
  8. Fraction ofThe journal of venomous animals and toxins including tropical diseases · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Understanding the Brain through Aging Eyes.Advances in geriatric medicine and research · 2021
    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

7 authors at 6 institutions in 3 countries.

Giovanna GuidoboniDepartment of Electrical Engineering and Computer Science, Department of Mathematics, University of Missouri, Columbia, MO, United States.
Riccardo SaccoDepartment of Mathematics, Politecnico di Milano, Milan, Italy.
Marcela SzoposUniversité de Paris, CNRS, MAP5 UMR 8145, Paris, France.
Lorenzo SalaInria Paris, Paris, France.
Alice Chandra Verticchio VercellinIRCCS - Fondazione Bietti, Rome, Italy.
Brent SieskyDepartment of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Alon HarrisDepartment of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Icahn School of Medicine at Mount Sinai · USCentre National de la Recherche Scientifique · FRInstitut national de recherche en sciences et technologies du numérique · FRPolitecnico di Milano · ITUniversity of Missouri · USUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodegenerative disorders (NDD) such as Alzheimer's and Parkinson's diseases are significant causes of morbidity and mortality worldwide. The pathophysiology of NDD is still debated, and there is an urgent need to understand the mechanisms behind the onset and progression of these heterogenous diseases. The eye represents a unique window to the brain that can be easily assessed via non-invasive ocular imaging. As such, ocular measurements have been recently considered as potential sources of biomarkers for the early detection and management of NDD. However, the current use of ocular biomarkers in the clinical management of NDD patients is particularly challenging. Specifically, many ocular biomarkers are influenced by local and systemic factors that exhibit significant variation among individuals. In addition, there is a lack of methodology available for interpreting the outcomes of ocular examinations in NDD. Recently, mathematical modeling has emerged as an important tool capable of shedding light on the pathophysiology of multifactorial diseases and enhancing analysis and interpretation of clinical results. In this article, we review and discuss the clinical evidence of the relationship between NDD in the brain and in the eye and explore the potential use of mathematical modeling to facilitate NDD diagnosis and management based upon ocular biomarkers.

Indexed as

cerebrospinal fluid pressurefluid-dynamicsglaucomaintraocular pressuremathematical modelingneurodegenerative disorders

Identifiers

PMID33281543
PMCPMC7689058
OpenAlexW3098258722

What OpenQuestion 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 OpenQuestion graph.