Evidence map›Paper›PMID 40478262›Full record

ArticleEuropean journal of clinical pharmacology2025

Global burden of vaccine-associated Raynaud's phenomenon, 1968-2024: A comprehensive analysis of the pharmacovigilance database.

Jinyoung Jeong, Hyunjee Kim, Hyesu Jo, Jaeyu Park, Jaehyeong Cho, Hayeon Lee, Hanseul Cho, Masoud Rahmati, Ho Geol Woo, Dong Keon Yon

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Article in European journal of clinical pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jinyoung JeongDepartment of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Hyunjee KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Hyesu JoCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Jaeyu ParkCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Jaehyeong ChoCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Hayeon LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Hanseul ChoDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Masoud RahmatiCEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hôpitaux de Marseille, Aix-Marseille Université, Marseille, France. masoud2_rahmati@yahoo.com.
Ho Geol WooDepartment of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea. nr85plasma@naver.com.
Dong Keon YonDepartment of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea. yonkkang@gmail.com.

Funding

Institute for Information & Communications Technology Planning & Evaluation IITP-2024-RS-2024-00438239Ministry of Science and ICT MSIT; RS-2023-00239251
6 · The paper itself

Abstract

purposeReports of Raynaud's phenomenon following vaccination have been steadily increasing; however, research on vaccine-associated Raynaud's phenomenon remains limited. This study aims to provide a comprehensive analysis of the association between Raynaud's phenomenon and various vaccines.

methodThis study used data from international pharmacovigilance, which contains over 35 million adverse event cases from more than 140 countries. Two established pharmacovigilance indicators, the information component (IC) and reporting odds ratio (ROR), were employed in the analysis with 95% confidence interval (CI). The IC was derived using a Bayesian methodology to compare the reporting and non-reporting groups, while the ROR, a frequentist measure of association, was calculated using contingency tables based on the number of adverse events.

resultsThe signal with Raynaud's phenomenon was highest for papillomavirus vaccines (ROR: 11.49 [95% CI, 9.66-13.67]; IC: 3.45 [IC

conclusionThis study suggests the potential signal association between various vaccines and Raynaud's phenomenon. Although our study does not imply causality, we propose the need to strengthen post-vaccination monitoring and establish support policies to address such adverse events.

Indexed as

PharmacovigilanceRaynaud DiseaseVaccinesAdolescentAdultAdverse Drug Reaction Reporting SystemsAgedChildChild, PreschoolDatabases, FactualFemaleHumansInfantMaleMiddle AgedYoung AdultVaccinesGlobalRaynaud’s phenomenonVaccines

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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.