Evidence map›Paper›PMID 36769127›Full record

ReviewInternational journal of molecular sciences2023

Precision Medicine in Glaucoma: Artificial Intelligence, Biomarkers, Genetics and Redox State.

Antonio Maria Fea, Federico Ricardi, Cristina Novarese, Francesca Cimorosi, Veronica Vallino, Giacomo Boscia

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. A Review of the Use of Artificial Intelligence in Ophthalmology Imaging: Approximation to Ocular Histopathology.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Current perspectives in tackling glaucoma blindness.Indian journal of ophthalmology · 2025
    Review
  7. Article
  8. Review
  9. 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

6 authors.

Antonio Maria FeaDepartment of Ophthalmology, University of Turin, Via Cherasco 23, 10126 Turin, Italy.
Federico RicardiDepartment of Ophthalmology, University of Turin, Via Cherasco 23, 10126 Turin, Italy.ORCID 0000-0002-9004-8547
Cristina NovareseDepartment of Ophthalmology, University of Turin, Via Cherasco 23, 10126 Turin, Italy.
Francesca CimorosiDepartment of Ophthalmology, University of Turin, Via Cherasco 23, 10126 Turin, Italy.
Veronica VallinoDepartment of Ophthalmology, University of Turin, Via Cherasco 23, 10126 Turin, Italy.
Giacomo BosciaDepartment of Ophthalmology, University of Turin, Via Cherasco 23, 10126 Turin, Italy.ORCID 0000-0002-8768-899X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glaucoma is a multifactorial neurodegenerative illness requiring early diagnosis and strict monitoring of the disease progression. Current exams for diagnosis and prognosis are based on clinical examination, intraocular pressure (IOP) measurements, visual field tests, and optical coherence tomography (OCT). In this scenario, there is a critical unmet demand for glaucoma-related biomarkers to enhance clinical testing for early diagnosis and tracking of the disease's development. The introduction of validated biomarkers would allow for prompt intervention in the clinic to help with prognosis prediction and treatment response monitoring. This review aims to report the latest acquisitions on biomarkers in glaucoma, from imaging analysis to genetics and metabolic markers.

Indexed as

Artificial IntelligenceGlaucomaBiomarkersHumansIntraocular PressureOxidation-ReductionPrecision MedicineTomography, Optical CoherenceBiomarkersartificial intelligencebiomarkersexosomesgeneticsglaucomaophthalmologyoptical coherence tomographyprecision medicineredox statevisual fields

Identifiers

PMID36769127
PMCPMC9917798

What OpenQuestion holds

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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.