Evidence map›Paper›PMID 24876284›Full record

ArticleInvestigative ophthalmology & visual science2014

Intraocular pressure, blood pressure, and retinal blood flow autoregulation: a mathematical model to clarify their relationship and clinical relevance.

Giovanna Guidoboni, Alon Harris, Simone Cassani, Julia Arciero, Brent Siesky, Annahita Amireskandari, Leslie Tobe, Patrick Egan, Ingrida Januleviciene, Joshua Park

Erratum issuedOpen access · greenAbstract readComparative Study
In one paragraph

Article in Investigative ophthalmology & visual science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

70 citing papers in PubMed, 141 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Effect of IOP-lowering treatment and Pentoxifylline on retrobulbar blood flow in normal tension glaucoma: a color doppler imaging study.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
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  10. Gas Concentration Errors in Vitreoretinal Surgery: Insights from a Model of Gas Mass Transfer Dynamics.Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift fur Augenheilkunde · 2026
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  13. Review
  14. A Hybrid ODE-NN Framework for Modeling Incomplete Physiological Systems.IEEE transactions on bio-medical engineering · 2025
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  16. Comparing Interface Conditions for a 3D-0D Multiscale Interface Coupling With Applications in Tissue Perfusion.International journal for numerical methods in biomedical engineering · 2025
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  19. Learning Physics Informed Neural ODEs with Partial Measurements.Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence · 2025
    Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Giovanna GuidoboniDepartment of Mathematical Sciences, Indiana University Purdue University Indianapolis, Indianapolis, Indiana, United States Eugene and Marilyn Glick Eye Institute and Department of Ophthalmology, Indiana University School of Medicine, Indianapolis, Indiana, United States.
Alon HarrisEugene and Marilyn Glick Eye Institute and Department of Ophthalmology, Indiana University School of Medicine, Indianapolis, Indiana, United States.
Simone CassaniDepartment of Mathematical Sciences, Indiana University Purdue University Indianapolis, Indianapolis, Indiana, United States.
Julia ArcieroDepartment of Mathematical Sciences, Indiana University Purdue University Indianapolis, Indianapolis, Indiana, United States.
Brent SieskyEugene and Marilyn Glick Eye Institute and Department of Ophthalmology, Indiana University School of Medicine, Indianapolis, Indiana, United States.
Annahita AmireskandariEugene and Marilyn Glick Eye Institute and Department of Ophthalmology, Indiana University School of Medicine, Indianapolis, Indiana, United States.
Leslie TobeEugene and Marilyn Glick Eye Institute and Department of Ophthalmology, Indiana University School of Medicine, Indianapolis, Indiana, United States.
Patrick EganEugene and Marilyn Glick Eye Institute and Department of Ophthalmology, Indiana University School of Medicine, Indianapolis, Indiana, United States.
Ingrida JanulevicieneEye Clinic, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Joshua ParkEugene and Marilyn Glick Eye Institute and Department of Ophthalmology, Indiana University School of Medicine, Indianapolis, Indiana, United States.
Indiana University – Purdue University Indianapolis · USIndiana University School of MedicineHospital of Lithuanian University of Health Sciences Kaunas Clinics · LT

Funding

African and European Descent, Ocular Blood Flow and Glaucoma ProgressionR21EY022101 · NEI · INDIANA UNIVERSITY INDIANAPOLIS · PI HARRIS, ALON · 2012 to 2013
$419k
NEI NIH HHS 1R21EY022101-01A1NEI NIH HHS R21 EY022101
6 · The paper itself

Abstract

purposeThis study investigates the relationship between intraocular pressure (IOP) and retinal hemodynamics and predicts how arterial blood pressure (BP) and blood flow autoregulation (AR) influence this relationship.

methodsA mathematical model is developed to simulate blood flow in the central retinal vessels and retinal microvasculature as current flowing through a network of resistances and capacitances. Variable resistances describe active and passive diameter changes due to AR and IOP. The model is validated by using clinically measured values of retinal blood flow and velocity. The model simulations for six theoretical patients with high, normal, and low BP (HBP-, NBP-, LBP-) and functional or absent AR (-wAR, -woAR) are compared with clinical data.

resultsThe model predicts that NBPwAR and HBPwAR patients can regulate retinal blood flow (RBF) as IOP varies between 15 and 23 mm Hg and between 23 and 29 mm Hg, respectively, whereas LBPwAR patients do not adequately regulate blood flow if IOP is 15 mm Hg or higher. Hemodynamic alterations would be noticeable only if IOP changes occur outside of the regulating range, which, most importantly, depend on BP. The model predictions are consistent with clinical data for IOP reduction via surgery and medications and for cases of induced IOP elevation.

conclusionsThe theoretical model results suggest that the ability of IOP to induce noticeable changes in retinal hemodynamics depends on the levels of BP and AR of the individual. These predictions might help to explain the inconsistencies found in the clinical literature concerning the relationship between IOP and retinal hemodynamics.

Indexed as

Models, TheoreticalBlood PressureHomeostasisHumansIntraocular PressureLaser-Doppler FlowmetryOcular HypertensionOptic DiskRegional Blood FlowRetinaRetinal VesselsVascular Resistanceautoregulationblood flowintraocular pressuremathematical modelretina

Identifiers

PMID24876284
PMCPMC4083771
OpenAlexW1990024488

What OpenQuestion holds

Textmetadata
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.