Evidence map›Paper›PMID 37350900›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2023

Data Mining Pipeline for COVID-19 Vaccine Safety Analysis Using a Large Electronic Health Record.

Yan Huang, Xiaojin Li, Deepa Dongarwar, Hulin Wu, Guo-Qiang Zhang

Abstract read
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Temporal Ensemble Logic for Integrative Representation of the Entirety of Clinical Trials.LIPIcs : Leibniz international proceedings in informatics · 2025
    Article
  2. 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

5 authors.

Yan HuangMcGovern Medical School.
Xiaojin LiMcGovern Medical School.
Deepa DongarwarMcGovern Medical School.
Hulin WuSchool of Biomedical Informatics.
Guo-Qiang ZhangMcGovern Medical School.

Funding

SCH: Neurophysiological AI-Ready Data ResourceR01NS126690 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHANG, GUO-QIANG · 2022 to 2025
$1.2M
NINDS NIH HHS R01 NS126690
6 · The paper itself

Abstract

We developed a novel data mining pipeline that automatically extracts potential COVID-19 vaccine-related adverse events from a large Electronic Health Record (EHR) dataset. We applied this pipeline to Optum

Identifiers

PMID37350900
PMCPMC10283124

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.