ArticlePharmacoepidemiology and drug safety2018
Meningococcal conjugate vaccine safety surveillance in the Vaccine Safety Datalink using a tree-temporal scan data mining method.
Article in Pharmacoepidemiology and drug safety, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.
- Real-world evidence of quadrivalent meningococcal conjugate vaccine safety in the United States: a systematic review.Human vaccines & immunotherapeutics · 2021Pooled it
- Meningococcal Vaccination: Recommendations of the Advisory Committee on Immunization Practices, United States, 2020.MMWR. Recommendations and reports : Morbidity and mortality weekly report. Recommendations and reports · 2020Guideline
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- Asyndromic surveillance of New York City emergency department diagnoses with the tree-temporal scan statistic.Journal of public health research · 2026Article
- A broad assessment of rotavirus vaccine safety in infants in Korea: Insights from a data-driven signal detection approach.Human vaccines & immunotherapeutics · 2025Article
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- Signal detection statistics of adverse drug events in hierarchical structure for matched case-control data.Biostatistics (Oxford, England) · 2024Article
- Active surveillance for adverse events of influenza vaccine safety in elderly cancer patients using self-controlled tree-temporal scan statistic analysis.Scientific reports · 2023Article
- A broad assessment of covid-19 vaccine safety using tree-based data-mining in the vaccine safety datalink.Vaccine · 2023Article
- A Broad Safety Assessment of the Recombinant Herpes Zoster Vaccine.American journal of epidemiology · 2022Article
- A novel data mining application to detect safety signals for newly approved medications in routine care of patients with diabetes.Endocrinology, diabetes & metabolism · 2021Article
- A Broad Safety Assessment of the 9-Valent Human Papillomavirus Vaccine.American journal of epidemiology · 2021Article
- Health care professionals' preference for a fully liquid, ready-to-use hexavalent vaccine in Spain.Preventive medicine reports · 2021Article
- Post-Marketing Surveillance Observational Study of Quadrivalent Meningococcal Diphtheria Toxoid Conjugate Vaccine (MenACWY-DT, MCV4/MenactraInfectious diseases and therapy · 2021Article
- Data Mining for Adverse Events of Tumor Necrosis Factor-Alpha Inhibitors in Pediatric Patients: Tree-Based Scan Statistic Analyses of Danish Nationwide Health Data.Clinical drug investigation · 2020Article
- Review
- Article
- An Implementation and Visualization of the Tree-Based Scan Statistic for Safety Event Monitoring in Longitudinal Electronic Health Data.Drug safety · 2019Article
- Identifying signals of interest when screening for drug-outcome associations in health care data.British journal of clinical pharmacology · 2018Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
Abstract
purposeThe objective of our study was to conduct a data mining analysis to identify potential adverse events (AEs) following MENACWY-D using the tree-temporal scan statistic in the Vaccine Safety Datalink population and demonstrate the feasibility of this method in a large distributed safety data setting.
methodsTraditional pharmacovigilance techniques used in vaccine safety are generally geared to detecting AEs based on pre-defined sets of conditions or diagnoses. Using a newly developed tree-temporal scan statistic data mining method, we performed a pilot study to evaluate the safety profile of the meningococcal conjugate vaccine Menactra® (MenACWY-D), screening thousands of potential AE diagnoses and diagnosis groupings. The study cohort included enrolled participants in the Vaccine Safety Datalink aged 11 to 18 years who had received MenACWY-D vaccination(s) between 2005 and 2014. The tree-temporal scan statistic was employed to identify statistical associations (signals) of AEs following MENACWY-D at a 0.05 level of significance, adjusted for multiple testing.
resultsWe detected signals for 2 groups of outcomes: diseases of the skin and subcutaneous tissue, fever, and urticaria. Both groups are known AEs following MENACWY-D vaccination. We also identified a statistical signal for pleurisy, but further examination suggested it was likely a false signal. No new MENACWY-D safety concerns were raised.
conclusionsAs a pilot study, we demonstrated that the tree-temporal scan statistic data mining method can be successfully applied to screen broadly for a wide range of vaccine-AE associations within a large health care data network.
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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.