SynthesisFrontiers in pediatrics2025
Prevalence of IVIG resistance in Kawasaki disease: a systematic review and meta-analysis.
Synthesis in Frontiers in pediatrics, 2025. 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
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
7 citing papers in PubMed.
- The Autophagy-Inflammasome Axis as a Molecular Switch: From Persistent Inflammation to Vascular Remodeling in IVIG-Resistant Kawasaki Disease.International journal of molecular sciences · 2026Review
- Coronary Artery Ectasia and Aneurysm: Benign Variant or High-Risk Substrate in Need of Tailored Treatment?Journal of cardiovascular development and disease · 2026Review
- The predictive value of the ratio of multi-dimensional inflammatory biomarkers in pediatric diseases from the perspective of pro-inflammatory/anti-inflammatory balance: a systematic review.Translational pediatrics · 2026Review
- Clinical characteristics and vascular involvement of Takayasu arteritis versus Kawasaki disease in infants and young children.Pediatric rheumatology online journal · 2026Article
- Development and validation of a novel interpretable machine learning model integrating immune-inflammatory indicators for intravenous immunoglobulin resistance in Kawasaki disease.Translational pediatrics · 2026Article
- Predicting coronary artery lesions in patients with Kawasaki disease in China using a machine-learning algorithm: a retrospective cohort study.Frontiers in immunology · 2026Article
- Polymorphism-driven immune disruptions in Kawasaki disease across populations: decoding the role of T and B-cells.Frontiers in immunology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Kawasaki Disease (KD) is an acute vasculitis primarily affecting children, with intravenous immunoglobulin (IVIG) being the standard treatment and leading to increased risk of coronary artery abnormalities. Objective: This systematic review and meta-analysis aim to evaluate the prevalence of IVIG resistance in KD and identify potential predictors and outcomes associated with this resistance. Methods: A comprehensive search of PubMed, Medline, Embase, and other relevant databases was conducted to identify studies reporting IVIG resistance in KD patients. Data on prevalence rates, patient demographics, and associated factors were extracted and analyzed. Results: The analysis included 26 studies with a total of 46,461 patients. The overall prevalence of IVIG resistance was found to be 14% (95% CI: 12%-16%), and The prevalence among males and females was 9% (95% CI; 7% to 10%) and 4% (95% CI; 3.7% to 4.3%), respectively. Conclusion: IVIG resistance remains a significant challenge in the management of KD. Identifying patients at higher risk for IVIG resistance and developing alternative treatment strategies are crucial for improving outcomes in this population.
Indexed as
Identifiers
What Socratic 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 Socratic graph.