Evidence map›Paper›PMID 42878568›Full record

ArticleTranslational vision science & technology2026

Physical Parameters Influencing the Rate of Subretinal Injection: A Microfluidic Analysis.

Aaron Nagiel, Lamberto Rondoni

Abstract read
In one paragraph

Article in Translational vision science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Aaron NagielVision Center, Department of Surgery, Children's Hospital Los Angeles, Los Angeles, CA, USA.
Lamberto RondoniDipartimento di Scienze Matematiche, Politecnico di Torino, Torino, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Subretinal injection during vitrectomy has become an important technique owing to the growing number of cell and gene therapy trials for retinal disease. Reducing the injection rate can mitigate trauma or shear forces on the retinal pigment epithelium, yet many surgeons alter the subretinal injection system in ways that could influence this rate. Methods: We created a theoretical model of a standard subretinal injection system by applying the Hagen-Poiseuille equation, assuming steady, incompressible, laminar flow of a water-like Newtonian fluid. The system consisted of the vitrectomy console, plastic tubing, the MedOne Microdose kit, and the MedOne 38G/41G subretinal cannula set. Results: This model generated an open-access web app allowing user modification of parameters including cannula length and diameter, beveling, viscosity, console injection pressure, and intraocular pressure. The internal diameter of the cannula had the most prominent effect on flow, with small increases producing large increases in flow. Increasing console pressure linearly increased tip flow. Trimming the tip by 3 mm modestly increased flow by 18%, whereas beveling the tip or altering intraocular pressure produced negligible changes. Conclusions: With this theoretical model, we were able to identify key parameters that influence the rate of subretinal injection, thus providing important guidance for surgeons. Translational Relevance: This open-access web application enables vitreoretinal surgeons and gene- and cell-therapy trialists to assess how modifications to the subretinal injection system alter flow at the cannula tip, supporting standardized and reproducible delivery that minimizes flow-related trauma to the outer retina.

Indexed as

Microfluidic Analytical TechniquesMicrofluidicsRetinaRetinal DiseasesVitrectomyHumansInjectionsIntraocular PressureModels, Theoretical

Identifiers

PMID42878568
PMCPMC13676224

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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.