Evidence map›Paper›PMID 39294170›Full record

ArticleScientific data2024

A comprehensive dataset of pattern electroretinograms for ocular electrophysiology research.

Itziar Fernández, Rubén Cuadrado-Asensio, Yolanda Larriba, Cristina Rueda, Rosa M Coco-Martín

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

5 authors.

Itziar FernándezDepartment of Statistics and Operations Research, University of Valladolid, Valladolid, 47011, Spain. itziar.fernandez@uva.es.ORCID 0000-0002-5077-4448
Rubén Cuadrado-AsensioInstitute of Applied Ophthalmobiology (IOBA), University of Valladolid, Valladolid, 47011, Spain.
Yolanda LarribaDepartment of Statistics and Operations Research, University of Valladolid, Valladolid, 47011, Spain. yolanda.larriba@uva.es.
Cristina RuedaDepartment of Statistics and Operations Research, University of Valladolid, Valladolid, 47011, Spain.
Rosa M Coco-MartínInstitute of Applied Ophthalmobiology (IOBA), University of Valladolid, Valladolid, 47011, Spain.

Funding

Fundación Eugenio Rodríguez Pascual (Eugenio Rodríguez Pascual Foundation) Biomedical research grant 2021
6 · The paper itself

Abstract

The Pattern Electroretinogram (PERG) is an essential tool in ophthalmic electrophysiology, providing an objective assessment of the central retinal function. It quantifies the activity of cells in the macula and the ganglion cells of the retina, assisting in the differentiation of macular and optic nerve conditions. In this study, we present the IOBA-PERG dataset, an extensive collection of 1354 transient PERG responses accessible on the PhysioNet repository. These recordings were conducted at the Institute of Applied Ophthalmobiology (IOBA) at University of Valladolid, over an extended period spanning nearly two decades, from 2003 to 2022. The dataset includes 336 records, ensuring at least one PERG signal per eye. The dataset thoughtfully includes demographic and clinical data, comprising information such as age, gender, visual acuity measurements, and expert diagnoses. This comprehensive dataset fills a gap in ocular electrophysiological repositories, enhancing ophthalmology research. Researchers can explore a broad range of eye-related conditions and diseases, leading to enhanced diagnostic accuracy, innovative treatment strategies, methodological advancements, and a deeper understanding of ocular electrophysiology.

Indexed as

ElectroretinographyRetinaHumans

Identifiers

PMID39294170
PMCPMC11410942

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.