Evidence map›Paper›PMID 27788142›Full record

ArticlePloS one2016

The Pre-Eclampsia Ontology: A Disease Ontology Representing the Domain Knowledge Specific to Pre-Eclampsia.

Satoshi Mizuno, Soichi Ogishima, Hidekazu Nishigori, Daniel G Jamieson, Karin Verspoor, Hiroshi Tanaka, Nobuo Yaegashi, Jun Nakaya

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Association between rs1799724 of TNF- α gene and early onset preeclampsia in Chinese: A pilot study.European journal of obstetrics & gynecology and reproductive biology: X · 2024
    Article
  2. Review
  3. Article
  4. Article
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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

8 authors.

Satoshi MizunoDepartment of Clinical Informatics, Tohoku University Graduate School of Medicine 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
Soichi OgishimaDepartment of Bioclinical Inforamtics, Tohoku Medical Megabank Organization, Tohoku University 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
Hidekazu NishigoriDepartment of Gynecology and Obstetrics, Tohoku University Graduate School of Medicine 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
Daniel G JamiesonBiorelate Ltd., Manchester, United Kingdom.
Karin VerspoorDepartment of Computing and Information Systems, University of Melbourne, Parkville, VIC, Australia.
Hiroshi TanakaDepartment of Bioclinical Inforamtics, Tohoku Medical Megabank Organization, Tohoku University 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
Nobuo YaegashiDepartment of Gynecology and Obstetrics, Tohoku University Graduate School of Medicine 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
Jun NakayaDepartment of Clinical Informatics, Tohoku University Graduate School of Medicine 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pre-eclampsia (PE) is a clinical syndrome characterized by new-onset hypertension and proteinuria at ≥20 weeks of gestation, and is a leading cause of maternal and perinatal morbidity and mortality. Previous studies have gathered abundant data about PE such as risk factors and pathological findings. However, most of these data are not semantically structured. Clinical data on PE patients are often generated with semantic heterogeneity such as using disparate terminology to describe the same phenomena. In clinical studies, interoperability of heterogenic clinical data is required in various situations. In such a situation, it is necessary to develop an interoperable and standardized semantic framework to research the pathology of PE more comprehensively and to achieve interoperability of heterogenic clinical data of PE patients. In this study, we developed an ontology representing clinical features, treatments, genetic factors, environmental factors, and other aspects of the current knowledge in the domain of PE. We call this pre-eclampsia ontology "PEO". To achieve interoperability with other ontologies, the core structure of PEO was compliant with the hierarchy of the Basic Formal Ontology (BFO). The PEO incorporates a wide range of key concepts and terms of PE from clinical and biomedical research in structuring the knowledge base that is specific to PE; therefore, PEO is expected to enhance PE-specific information retrieval and knowledge discovery in both clinical and biomedical research fields.

Indexed as

Biological OntologiesFemaleHumansPre-EclampsiaPregnancyTerminology as Topic

Identifiers

PMID27788142
PMCPMC5082890

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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.