ArticlePloS one2023
Efficacy and safety of curcumin in diabetic retinopathy: A protocol for systematic review and meta-analysis.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Antidiabetic and Anti-Inflammatory Potential of Zingiberaceae Plants in Dietary Supplement Interventions.Molecules (Basel, Switzerland) · 2026Review
- Nutrients and Natural Substances for Hypoglycemic Effects and Management in Diabetic Retinopathy.Nutrients · 2025Review
- Study on the mechanism of plant metabolites to intervene oxidative stress in diabetic retinopathy.Frontiers in pharmacology · 2025Review
- Targeting oxidative stress in diabetic retinopathy: mechanisms, pathology, and novel treatment approaches.Frontiers in immunology · 2025Review
- The Role of Diet and Oral Supplementation for the Management of Diabetic Retinopathy and Diabetic Macular Edema: A Narrative Review.BioMed research international · 2025Review
- Role of MMP-9 and NF-κB in Diabetic Retinopathy: Progression and Potential Role of Bioflavonoids in the Mitigation of Diabetic Retinopathy.Current medicinal chemistry · 2025Review
- Biocompatible Anisole-Nonlinear PEG Core-Shell Nanogels for High Loading Capacity, Excellent Stability, and Controlled Release of Curcumin.Gels (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiabetic retinopathy (DR) is one of the most common complications of diabetes and has become a major global cause of blindness. Curcumin, an extract of Curcuma longa (turmeric), is effective in preventing and treating diabetes. Recent studies have shown that curcumin can delay DR development. However, there has been no systematic review of its treatment of DR. This study will conduct a systematic review and meta-analysis of currently published randomized controlled trials (RCT) of curcumin for treating DR patients to evaluate its efficacy and safety.
methodsWe will search the relevant studies of curcumin in the treatment of DR in PubMed, Medline, EMBASE, Cochrane Library, China National Knowledge Infrastructure (CNKI), VIP, and Wanfang databases from their respective inception dates to May 2022. A meta-analysis of the data extracted from qualified RCTs will be conducted, including the progression of DR, visual acuity, visual field, macular edema, quality of life, and adverse events. The meta-analysis will be performed using Review Manager 5.4.1 software, and the results will be based on either random-effects or fixed-effects models, depending on the heterogeneity. The Grading of Recommendations, Development, and Evaluation (GRADE) system will be used to evaluate the reliability and quality of evidence.
resultsThe results of this study will provide sound and high-quality evidence for the efficacy and safety of curcumin in the treatment of DR.
conclusionThis study will be the first meta-analysis to comprehensively assess the efficacy and safety of curcumin in the treatment of DR and will provide helpful evidence for the clinical management of this disease. SYSTEMATIC REVIEW REGISTRATION: INPLASY202250002.
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Registered trials
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.