ArticleAmerican journal of epidemiology2018
Assessment of Quadrivalent Human Papillomavirus Vaccine Safety Using the Self-Controlled Tree-Temporal Scan Statistic Signal-Detection Method in the Sentinel System.
Article in American journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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.
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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
21 citing papers in PubMed, 39 citations in OpenAlex.
- Article
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- PEPRVision: a visualization framework for Pharmacoepidemiology research.American journal of epidemiology · 2026Article
- 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
- Article
- Performance of the Self-Controlled Case Series With Active Comparators for Drug Safety Signal Detection Using Merative MarketScan Research Databases.Pharmacoepidemiology and drug safety · 2025Article
- 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
- Tree-based data mining for safety assessment of first COVID-19 booster doses in the Vaccine Safety Datalink.Vaccine · 2023Article
- A New Drug Safety Signal Detection and Triage System Integrating Sequence Symmetry Analysis and Tree-Based Scan Statistics with Longitudinal Data.Clinical epidemiology · 2023Article
- A Broad Safety Assessment of the Recombinant Herpes Zoster Vaccine.American journal of epidemiology · 2022Article
- A Broad Safety Assessment of the 9-Valent Human Papillomavirus Vaccine.American journal of epidemiology · 2021Article
- A COVID-19-ready public health surveillance system: The Food and Drug Administration's Sentinel System.Pharmacoepidemiology and drug safety · 2021Review
- A novel data mining application to detect safety signals for newly approved medications in routine care of patients with diabetes.Endocrinology, diabetes & metabolism · 2021Article
- Novel vaccine safety issues and areas that would benefit from further research.BMJ global health · 2021Review
- Active Vaccine Safety Surveillance: Global Trends and Challenges in China.Health data science · 2021Review
- Article
- Invited Commentary: Moving From Evidence to Impact for Human Papillomavirus Vaccination-The Critical Role of Translation and Communication in Epidemiology.American journal of epidemiology · 2018Article
- Have Current Systems of Pharmacovigilance Had Their Day?: THE “PRO” SIDEThe Canadian journal of hospital pharmacyArticle
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
The self-controlled tree-temporal scan statistic-a new signal-detection method-can evaluate whether any of a wide variety of health outcomes are temporally associated with receipt of a specific vaccine, while adjusting for multiple testing. Neither health outcomes nor postvaccination potential periods of increased risk need be prespecified. Using US medical claims data in the Food and Drug Administration's Sentinel system, we employed the method to evaluate adverse events occurring after receipt of quadrivalent human papillomavirus vaccine (4vHPV). Incident outcomes recorded in emergency department or inpatient settings within 56 days after first doses of 4vHPV received by 9- through 26.9-year-olds in 2006-2014 were identified using International Classification of Diseases, Ninth Revision, diagnosis codes and analyzed by pairing the new method with a standard hierarchical classification of diagnoses. On scanning diagnoses of 1.9 million 4vHPV recipients, 2 statistically significant categories of adverse events were found: cellulitis on days 2-3 after vaccination and "other complications of surgical and medical procedures" on days 1-3 after vaccination. Cellulitis is a known adverse event. Clinically informed investigation of electronic claims records of the patients with "other complications" did not suggest any previously unknown vaccine safety problem. Considering that thousands of potential short-term adverse events and hundreds of potential risk intervals were evaluated, these findings add significantly to the growing safety record of 4vHPV.
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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.