Evidence mapPaperPMID 37092467Full record

ReviewVision (Basel, Switzerland)2023

Circulating Biomarkers to Predict Diabetic Retinopathy in Patients with Diabetic Kidney Disease.

Jonny, Laurencia Violetta, Arief S Kartasasmita, Rudi Supriyadi, Coriejati Rita

Open access · goldAbstract readReview
In one paragraph

Review in Vision (Basel, Switzerland), 2023. 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
2.8field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  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 at 2 institutions in 1 country.

JonnyNephrology Division, Department of Internal Medicine, Gatot Soebroto Indonesia Army Central Hospital, Jakarta 10410, Indonesia.ORCID 0000-0002-8564-7430
Laurencia ViolettaNephrology Division, Department of Internal Medicine, Gatot Soebroto Indonesia Army Central Hospital, Jakarta 10410, Indonesia.ORCID 0000-0001-7798-2792
Arief S KartasasmitaFaculty of Medicine, Universitas Padjajaran, Bandung 40132, Indonesia.ORCID 0000-0003-2249-8965
Rudi SupriyadiFaculty of Medicine, Universitas Padjajaran, Bandung 40132, Indonesia.
Coriejati RitaFaculty of Medicine, Universitas Padjajaran, Bandung 40132, Indonesia.
Padjadjaran University · IDGatot Soebroto Army Hospital · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this review is to outline the currently available circulating biomarkers to predict diabetic retinopathy (DR) in patients with diabetic kidney disease (DKD). Studies have extensively reported the association between DR and DKD, suggesting the presence of common pathways of microangiopathy. The presence of other ocular complications including diabetic cataracts may hinder the detection of retinopathy, which may affect the visual outcome after surgery. Unlike DKD screening, the detection of DR requires complex, costly machines and trained technicians. Recognizing potential biological markers related to glycation and oxidative stress, inflammation and endothelial dysfunction, basement membrane thickening, angiogenesis, and thrombosis as well as novel molecular markers involved in the microangiopathy process may be useful as predictors of retinopathy and identify those at risk of DR progression, especially in cases where retinal visualization becomes a clinical challenge. Further investigations could assist in deciding which biomarkers possess the highest predictive power to predict retinopathy in clinical settings.

Indexed as

biomarkersdiabetes mellitusdiabetic kidney diseasediabetic retinopathymicroangiopathy

Identifiers

PMID37092467
PMCPMC10123608
OpenAlexW4363674135

What Socratic holds

Textmetadata
LicenceCC BY
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.