Evidence map›Paper›PMID 35600148›Full record

ReviewCentral-European journal of immunology2022

Novel therapies for diabetic retinopathy.

Magdalena Kupis, Katarzyna Samelska, Jacek Szaflik, Piotr Skopiński

Open access · goldAbstract readReview
In one paragraph

Review in Central-European journal of immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 11% of its field
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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Diabetic Retinopathy-A Review.Current diabetes reviews · 2025
    Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. 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

4 authors at 1 institution in 1 country.

Magdalena KupisDepartment of Ophthalmology, Medical University of Warsaw, Warsaw, Poland.
Katarzyna SamelskaDepartment of Ophthalmology, Medical University of Warsaw, Warsaw, Poland.
Jacek SzaflikDepartment of Ophthalmology, Medical University of Warsaw, Warsaw, Poland.
Piotr SkopińskiDepartment of Histology and Embryology, Medical University of Warsaw, Warsaw, Poland.
Medical University of Warsaw · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) is a metabolic disease characterized by high blood glucose levels as well as microvascular and macrovascular changes. According to the latest statistics the growth of DM incidence is very fast. Diabetic retinopathy (DR) - one of the common DM complications - is the leading cause of blindness among professionally active people. Traditional treatment of DR including drugs controlling hyperglycemia, laser therapy, vitrectomy, and intravitreal injections of anti-VEGF is effectively administered with the effect of neovascularization and macular edema prevention. However, new potential DR therapies - focusing on a longer therapeutic effect and potentially fewer side effects - are being widely investigated. Gene therapy - targeting retinal vasculopathy or targeting retinal protection, mesenchymal stem cell injections, SGLT2 inhibitors, and islet cell transplantation have been proved to stop DR progression. The majority of the new treatment research was performed on an animal model and did not reach the final study stage. A further future human model and randomized studies with optimized delivery vectors will hopefully confirm positive outcomes of the new DR therapies.

Indexed as

diabetic retinopathygene therapyislet cell transplantationmesenchymal stem cellsSGLT2 inhibitors

Identifiers

PMID35600148
PMCPMC9115596
OpenAlexW4210537487

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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 OpenQuestion graph.