Evidence map›Paper›PMID 35046633›Full record

ArticleClinical ophthalmology (Auckland, N.Z.)2022

Effects of Photo-Biomodulation in Stargardt Disease.

Sergio Zaccaria Scalinci, Nicola Valsecchi, Elena Pacella, Edoardo Trovato Battagliola

Abstract read
In one paragraph

Article in Clinical ophthalmology (Auckland, N.Z.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
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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

4 authors.

Sergio Zaccaria ScalinciOphthalmology Unit, DIMEC (Department of Medical and Surgical Sciences), Department of Ophthalmology, Alma Mater Studiorum University of Bologna, Bologna, Italy.
Nicola ValsecchiOphthalmology Unit, DIMES (Department of Experimental, Diagnostic and Specialty Medicine), Department of Ophthalmology, Alma Mater Studiorum University of Bologna, Bologna, Italy.ORCID 0000-0002-3887-7655
Elena PacellaDepartment of Sense Organs, Faculty of Medicine and Dentistry, Sapienza University of Rome, Rome, Italy.ORCID 0000-0002-5431-6399
Edoardo Trovato BattagliolaDepartment of Sense Organs, Faculty of Medicine and Dentistry, Sapienza University of Rome, Rome, Italy.ORCID 0000-0002-8718-4054

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeStargardt disease (STGD1) is the most common hereditary macular degeneration and currently no treatments have been approved to interrupt the progression of the disease. The aim of this study was to evaluate the efficacy of photo-biomodulation in patients with Stargardt disease 1 year after treatment, considering as primary outcomes improvements in best corrected visual acuity (BCVA), microperimetry, and pattern electroretinography (PERG) amplitude. MATERIALS AND

methodsNinety eyes of 45 patients with a diagnosis of Stargardt disease stage 1 were prospectively recruited at the University of Bologna. Selected patients were treated with photo-biomodulation therapy for 1 year for 10 minutes a day, twice a day, and 5 days per week for 12 months. A light emitting diode (LED) of 10 Hz and wavelength 650 nm was used. BCVA and microperimetry were assessed before treatment and 1 year after photo-biomodulation, whereas PERG was assessed at baseline, 1, 3, 6, and 12 months after treatment.

resultsBCVA improved from 0.7 [interquartile range (IQR)=0.6-0.9)] to 0.4 (IQR=0.2-0.5)] after treatment (95% CI=-0.3, -0.35;

conclusionBCVA, PERG, and MP-1 significantly improved 1 year after treatment. Also, improvement of PERG N35-P50 amplitude at 3 and 6 months was correlated to BCVA improvement at 1 year, suggesting that PERG could be useful in predicting visual outcome after photo-biomodulation.

Indexed as

LEDmicroperimetryPERGphoto-biomodulationStargardt disease

Identifiers

PMID35046633
PMCPMC8760100

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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.