SynthesisFrontiers in endocrinology2023
Systematic evaluation of combined herbal adjuvant therapy for proliferative diabetic retinopathy.
Synthesis in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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
9 citing papers in PubMed, 10 citations in OpenAlex.
- The therapeutic potential of medicinal mushrooms in ophthalmology: from ethnomycology to evidence-based applications.Frontiers in pharmacology · 2026Review
- Huangqi fuling decoction inhibits the invasion and metastasis of gastric cancer via the TNF signaling pathway.Scientific reports · 2025Article
- Curcumol ameliorates diabetic retinopathyWorld journal of diabetes · 2025Article
- GPR30-driven fatty acid oxidation targeted by ginsenoside Rd maintains mitochondrial redox homeostasis to restore vascular barrier in diabetic retinopathy.Cardiovascular diabetology · 2025Article
- An evidence mapping study based on systematic reviews of traditional Chinese medicine (TCM) for diabetic retinopathy.Systematic reviews · 2025Article
- Development of a Training Content Index System for Pressure Injury Prevention Training Programs for Healthcare Assistants in Tertiary Hospitals.Risk management and healthcare policy · 2025Article
- Knowledge graph for traditional Chinese medicine diagnosis and treatment of diabetic retinopathy: design, construction, and applications.International journal of ophthalmology · 2025Article
- Dilemmas in Elderly Diabetes and Clinical Practice Involving Traditional Chinese Medicine.Pharmaceuticals (Basel, Switzerland) · 2024Review
- Role of traditional Chinese medicine in age-related macular degeneration: exploring the gut microbiota's influence.Frontiers in pharmacology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To evaluate the efficacy and safety of combined traditional Chinese medicine in the adjuvant treatment of proliferative diabetic retinopathy (PDR) by Meta-analysis. Methods: PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang databases were searched by computer. Random controlled clinical trials (RCTS) using traditional Chinese medicine as adjuvant therapy for proliferative diabetic retinopathy were screened, and Stata16.0 software was used to perform meta-analysis on the final included literatures. Results: A total of 18 studies involving 1392 patients were included. Meta-analysis showed that the clinical effective rate OR=2.99 ( Conclusion: The combination of traditional Chinese medicine adjuvant therapy has a good curative effect on PDR patients. However, the relevant clinical trials are few and more high-quality clinical trials are still needed, what's more the attention should be paid to the exploration of its safety.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.