Evidence map›Paper›PMID 39433678›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Full-Field Electroretinogram Responses in Rodent Models of Ganglion Cell Injury.

Da Zhao, Pei Ying Lee, Vickie H Y Wong, Anh Hoang, Katie K N Tran, Anna K Van Koeverden, Brianna C Afiat, Christine T O Nguyen, Bang V Bui

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Da ZhaoDepartment of Optometry and Vision Sciences, University of Melbourne, Parkville, VIC, Australia.
Pei Ying LeeDepartment of Optometry and Vision Sciences, University of Melbourne, Parkville, VIC, Australia.
Vickie H Y WongDepartment of Optometry and Vision Sciences, University of Melbourne, Parkville, VIC, Australia.
Anh HoangDepartment of Optometry and Vision Sciences, University of Melbourne, Parkville, VIC, Australia.
Katie K N TranDepartment of Optometry and Vision Sciences, University of Melbourne, Parkville, VIC, Australia.
Anna K Van KoeverdenDepartment of Optometry and Vision Sciences, University of Melbourne, Parkville, VIC, Australia.
Brianna C AfiatDepartment of Optometry and Vision Sciences, University of Melbourne, Parkville, VIC, Australia.
Christine T O NguyenDepartment of Optometry and Vision Sciences, University of Melbourne, Parkville, VIC, Australia.
Bang V BuiDepartment of Optometry and Vision Sciences, University of Melbourne, Parkville, VIC, Australia. bvb@unimelb.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preclinical studies of optic nerve injury models have led to significant insight into the mechanism underlying retinal ganglion cell neurodegeneration. During the process of ganglion cell injury, morphological changes can occur prior to gross structural changes and cell death. Similarly, following injury, functional changes can occur in the absence of substantive structural changes. These more subtle effects can often be detected using functional tools such as the electroretinogram. Moreover, the electroretinogram is a sensitive and complementary means to quantify treatment efficacy. Here, we describe in vivo electroretinography for assessing ganglion cell injury in rodent models.

Indexed as

Disease Models, AnimalElectroretinographyOptic Nerve InjuriesRetinal Ganglion CellsAnimalsMiceRatsRodentiaElectroretinogramIn vivo retinal assessmentRetinal functionRodentsSmall animal models

Identifiers

PMID39433678

What OpenQuestion holds

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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.