Evidence map›Paper›PMID 30815200›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2018

Identification of Rare Adverse Events with Year-varying Reporting Rates for FLU4 Vaccine in VAERS.

Jiayi Tong, Jing Huang, Jingcheng Du, Yi Cai, Cui Tao, Yong Chen

Open access · greenAbstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018. 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, top 84% of its field
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, 4 citations in OpenAlex.

  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

6 authors at 2 institutions in 1 country.

Jiayi TongPerelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.
Jing HuangPerelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.
Jingcheng DuSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Yi CaiPieces Technology, Dallas, TX, USA.
Cui TaoSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Yong ChenPerelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.
University of Pennsylvania · USThe University of Texas Health Science Center at Houston · US

Funding

Dynamic learning for post-vaccine event prediction using temporal information in VAERSR01AI130460 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI CHEN, YONG, TAO, CUI · 2017 to 2021
$3.4M
Patient Medical History Representation, Extraction, and Inference from EHR DataR01LM011829 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI TAO, CUI · 2014 to 2018
$1.7M
A General Framework to Account for Outcome Reporting Bias in Systematic ReviewsR01LM012607 · NLM · UNIVERSITY OF PENNSYLVANIA · PI CHEN, YONG · 2017 to 2020
$1.4M
NIAID NIH HHS R01 AI130460NLM NIH HHS R01 LM011829NLM NIH HHS R01 LM012607
6 · The paper itself

Abstract

In 2012, a new influenza vaccine - FLU4 was first licensed in the US. FLU4 is a quadrivalent flu vaccine, which can protect against four flu viruses. Compared to FLU and FLU3, FLU4 gives broader protection against the flu viruses. To our knowledge, few studies have focused on the FLU4 vaccine and its adverse events. Since safety signal detection is important in vaccination, it is necessary to launch such studies on FLU4. In this paper, we used the Vaccine Adverse Event Reporting System (VAERS), which is a national post-marketing vaccine safety surveillance program to identify rare adverse events with year-varying reporting rates for FLU4. The differences in the reporting rates over years are potential signals of vaccine safety issues caused by updates of FLU4 ingredients. We used a likelihood ratio test to simultaneously test the sparsity of events and the differences of event rates over years. We identified 4 adverse events that are rare and have significantly different reporting rates over years.

Indexed as

Adverse Drug Reaction Reporting SystemsLikelihood FunctionsHumansInfluenza VaccinesPoisson DistributionUnited StatesVaccinationInfluenza Vaccines

Identifiers

PMID30815200
PMCPMC6371315
OpenAlexW2941274749

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.