SynthesisFrontiers in endocrinology2025
Effectiveness of hyaluronic acid and its derivatives on diabetic foot ulcer: a systematic review and meta-analysis.
Synthesis in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- A Composite Ovine Forestomach Matrix and Hyaluronic Acid CAMP for the Treatment of Full Thickness Wounds of the Foot in People With Diabetes: A Randomized Controlled Trial.International wound journal · 2026Trial
- Hyaluronic Acid-Based Biomaterials for Soft Tissue Repair and Wound Healing: Clinical Evidence and Emerging Applications.Gels (Basel, Switzerland) · 2026Review
- Hydrogen-Enriched Hyaluronic Acid Dressing Ameliorates Diabetic Foot Ulcer via Promoting Mitophagy.Journal of diabetes · 2026Article
- Combining Hyaluronic Acid and Amino Acids for Improved Healing of Post-Extraction Tooth Socket in Type 2 Diabetes Mellitus Subjects: A Randomized Clinical Trial.Dentistry journal · 2026Article
- Molecular mechanisms and structure-activity relationships of natural polysaccharides in ameliorating type 2 diabetes mellitus: a comprehensive review.Frontiers in nutrition · 2026Review
- Hyaluronic acid-based tissue-engineered biomaterials for infected diabetic foot ulcers: mechanisms, evidence, and translational challenges.Frontiers in bioengineering and biotechnology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: In this study, we aim to evaluate the effects of hyaluronic acid and its derivatives on wound healing in diabetic foot ulcer. Methods: The electronic databases included PubMed, BIOSIS, EMBASE, Cochrane Central Register of Controlled Trials (CENTRAL), and Google Scholar internet. The final search was updated on Aug 31, 2024. We assessed eligible studies that comparing the effects of hyaluronic acid and its derivatives with other dressings on wound healing in diabetic foot ulcer. The primary outcomes included the rate of ulcers completely healed, time to healing and adverse event. The standard mean differences (SMDs) or the odds ratios (ORs) were calculated for continuous or dichotomous data, respectively. Data were analyzed by using the Cochrane Collaboration's RevMan 5.0 software. Results: We assessed each included study with the Cochrane 'Risk of bias' tool. Seven RCTs involving 444 patients and 456 ulcers were included in our study. Hyaluronic acid may improve the complete ulcer healing rate (OR 3.92, 95% CI 1.74 to 8.81, P = 0.02, I Conclusion: In conclusion, HA and its derivatives could be a potentially beneficial therapy for DFU treatment that promotes the complete ulcer healing rate, shortens healing time, without increasing incidence of adverse events. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024588743, identifier CRD42024588743.
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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 OpenQuestion graph.