Evidence map›Paper›PMID 31979304›Full record

ArticleLife (Basel, Switzerland)2020

A Theoretical Approach for the Electrochemical Characterization of Ciliary Epithelium.

Riccardo Sacco, Giovanna Guidoboni, Joseph W Jerome, Giulio Bonifazi, Nicholas M Marazzi, Alice C Verticchio Vercellin, Matthew S Lang, Alon Harris

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. A Model of the Mechanisms Underpinning Unconventional Aqueous Humor Outflow.Investigative ophthalmology & visual science · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. A Mathematical Model of Aqueous Humor Production and Composition.Investigative ophthalmology & visual science · 2022
    Article
  6. Review
  7. Review
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

8 authors.

Riccardo SaccoDipartimento di Matematica, Politecnico di Milano, 20133 Milano MI, Italy.ORCID 0000-0003-3239-9995
Giovanna GuidoboniDepartment of Electrical Engineering and Computer Science, University of Missouri, Columbia , MO 65211, USA.
Joseph W JeromeDepartment of Mathematics, George Washington University, Washington, DC 20052, USA.
Giulio BonifaziBasque Center for Applied Mathematics, Bilbao 48009, Spain.
Nicholas M MarazziDepartment of Electrical Engineering and Computer Science, University of Missouri, Columbia , MO 65211, USA.
Alice C Verticchio VercellinDepartment of Ophthalmology, Icahn School of Medicine at Mount Sinai Hospital, New York , NY 10029, USA.
Matthew S LangSchool of Medicine, Indiana University, Indianapolis, IN 47405, USA.
Alon HarrisDepartment of Ophthalmology, Icahn School of Medicine at Mount Sinai Hospital, New York , NY 10029, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ciliary epithelium (CE) is the primary site of aqueous humor (AH) production, which results from the combined action of ultrafiltration and ionic secretion. Modulation of ionic secretion is a fundamental target for drug therapy in glaucoma, and therefore it is important to identify the main factors contributing to it. As several ion transporters have been hypothesized as relevant players in CE physiology, we propose a theoretical approach to complement experimental methods in characterizing their role in the electrochemical and fluid-dynamical conditions of CE. As a first step, we compare two model configurations that differ by

Indexed as

aqueous humorciliary epitheliumelectrochemical conditionsfluid-dynamical conditionsionic secretionion transportersmathematical modelphysiologysimulationultrafiltration

Identifiers

PMID31979304
PMCPMC7175328

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Registered trials

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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.