Evidence map›Paper›PMID 37350887›Full record

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

A UMLS-based Investigation of Laterality in Biomedical Terminologies.

Rashmie Abeysinghe, Xubing Hao, Licong Cui, 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. 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

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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

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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

4 authors.

Rashmie AbeysingheDepartment of Neurology, The University of Texas Health Science Center at Houston, Houston, TX.
Xubing HaoSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX.
Licong CuiSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX.
Guo-Qiang ZhangDepartment of Neurology, The University of Texas Health Science Center at Houston, Houston, TX.

Funding

An informatics framework for SUDEP Risk Marker Identification and Risk AssessmentR01NS116287 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI CUI, LICONG · 2020 to 2024
$1.7M
SCH: Neurophysiological AI-Ready Data ResourceR01NS126690 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHANG, GUO-QIANG · 2022 to 2025
$1.2M
Biomedical Terminology Quality Assurance for Enhancing Clinical Queries over Electronic Health RecordsR01LM013335 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI CUI, LICONG · 2020 to 2021
$663k
An Interface Ontology for Alzheimer's Disease ResearchR21AG068994 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI CUI, LICONG · 2020 to 2021
$429k
NIA NIH HHS R21 AG068994NINDS NIH HHS R01 NS116287NINDS NIH HHS R01 NS126690NLM NIH HHS R01 LM013335
6 · The paper itself

Abstract

Laterality is an important anatomic directional property indicating the sidedness of body structures, diseases, and procedures. Errors in laterality could have catastrophic consequences in patient care. In this paper, we investigate how different biomedical terminologies organize terms indicating laterality. We leverage the Unified Medical Language System (UMLS) to identify lateral terms in different terminologies. For each lateral term, we attempt to obtain other matched lateral terms and further analyze how they are interrelated. Our results indicated that only 1.68% of the matched lateral term-pairs are hierarchically related. It was also seen that 44.24% of matched-pairs were siblings. We found that in SNOMED CT, bilateral concepts were hierarchically related to both left and right lateral concepts different to most other terminologies. Further investigation revealed that the likely causes for these relations are how the logical definitions of SNOMED CT concepts are arranged.

Identifiers

PMID37350887
PMCPMC10283118

What OpenQuestion holds

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Registered trials

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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.