Evidence map›Paper›PMID 41526409›Full record

ArticleScientific data2026

The Ontology of Adverse Events in 2025.

Chenchen Pan, Qiuyue Yang, Xue Zhang, Shuyue Luo, Yongqun He, Jiangan Xie

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chenchen Pan *School of Life Health Information Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
Qiuyue Yang *School of Life Health Information Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
Xue ZhangSchool of Life Health Information Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
Shuyue LuoSchool of Artificial Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China.
Yongqun HeUnit for Laboratory Animal Medicine, Center of Computational Medicine and Bioinformatics, Department of Learning Health Science, University of Michigan Medical School, Ann Arbor, Michigan, USA. yongqunh@med.umich.edu.ORCID http://orcid.org/0000-0001-9189-9661
Jiangan XieSchool of Life Health Information Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China. xjahardy@hotmail.com.ORCID http://orcid.org/0000-0003-0958-3364

Funding

Natural Science Foundation of Chongqing (Natural Science Foundation of Chongqing Municipality) CSTB2022NSCQ-MSX1234Natural Science Foundation of Chongqing (Natural Science Foundation of Chongqing Municipality) CSTC2018JCYJAX0243
6 · The paper itself

Abstract

The Ontology of Adverse Events (OAE) was launched in 2011 to define, standardize and integrate various adverse events (AEs) arising after medical interventions. The terminological framework of OAE has undergone consistent expansion since its inception, driven by its successful implementation in numerous AE investigations. In this paper, we document substantial ontological extensions addressing patient anatomic regions and clinical manifestations, encompassing symptoms, physical signs, and pathological processes. Current statistical analysis reveals that OAE has 10,829 formally defined terms with unique identifiers. Compared to the 3,088 ontology terms included in the last OAE publication in 2014, 7,741 new terms have been added to OAE, which represents significant progress of the ontology in clinical granularity and domain coverage. The OAE framework enables structured representation of critical determinants influencing clinical outcomes, including but not limited to administration routes, dosage parameters, and demographic variables such as patient age. Through its standardized semantic architecture, OAE provides an integrative platform for cross-disciplinary analysis of AE patterns, etiological factors, and outcome trajectories in clinical interventions.

Indexed as

Biological OntologiesDrug-Related Side Effects and Adverse ReactionsHumans

Identifiers

PMID41526409
PMCPMC12917244

What OpenQuestion holds

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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.