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遗传性视网膜疾病健康术语系统:内容覆盖评估及分类建议。

A health terminological system for inherited retinal diseases: Content coverage evaluation and a proposed classification.

机构信息

Ophthalmic Epidemiology Research Center, Research Institute for Ophthalmology and Vision Science, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Department of Optometry, School of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

出版信息

PLoS One. 2023 Aug 4;18(8):e0281858. doi: 10.1371/journal.pone.0281858. eCollection 2023.

Abstract

PURPOSE

To present a classification of inherited retinal diseases (IRDs) and evaluate its content coverage in comparison with common standard terminology systems.

METHODS

In this comparative cross-sectional study, a panel of subject matter experts annotated a list of IRDs based on a comprehensive review of the literature. Then, they leveraged clinical terminologies from various reference sets including Unified Medical Language System (UMLS), Online Mendelian Inheritance in Man (OMIM), International Classification of Diseases (ICD-11), Systematized Nomenclature of Medicine (SNOMED-CT) and Orphanet Rare Disease Ontology (ORDO).

RESULTS

Initially, we generated a hierarchical classification of 62 IRD diagnosis concepts in six categories. Subsequently, the classification was extended to 164 IRD diagnoses after adding concepts from various standard terminologies. Finally, 158 concepts were selected to be classified into six categories and genetic subtypes of 412 cases were added to the related concepts. UMLS has the greatest content coverage of 90.51% followed respectively by SNOMED-CT (83.54%), ORDO (81.01%), OMIM (60.76%), and ICD-11 (60.13%). There were 53 IRD concepts (33.54%) that were covered by all five investigated systems. However, 2.53% of the IRD concepts in our classification were not covered by any of the standard terminologies.

CONCLUSIONS

This comprehensive classification system was established to organize IRD diseases based on phenotypic and genotypic specifications. It could potentially be used for IRD clinical documentation purposes and could also be considered a preliminary step forward to developing a more robust standard ontology for IRDs or updating available standard terminologies. In comparison, the greatest content coverage of our proposed classification was related to the UMLS Metathesaurus.

摘要

目的

提出遗传性视网膜疾病(IRDs)的分类,并与常用的标准术语系统进行内容覆盖范围的比较评估。

方法

在这项比较性的横断面研究中,一组主题专家根据对文献的全面回顾,对一系列 IRD 进行注释。然后,他们利用来自各种参考集的临床术语,包括统一医学语言系统(UMLS)、在线孟德尔遗传数据库(OMIM)、国际疾病分类(ICD-11)、系统医学命名法(SNOMED-CT)和孤儿病本体论(ORDO)。

结果

最初,我们生成了一个包含 62 个 IRD 诊断概念的 6 个类别的分层分类。随后,在添加来自各种标准术语的概念后,该分类扩展到 164 个 IRD 诊断。最后,选择了 158 个概念进行分类,归入 6 个类别,并为相关概念添加了 412 个病例的遗传亚型。UMLS 的内容覆盖率最高,为 90.51%,其次是 SNOMED-CT(83.54%)、ORDO(81.01%)、OMIM(60.76%)和 ICD-11(60.13%)。有 53 个 IRD 概念(33.54%)被所有五个调查系统覆盖。然而,我们分类中的 2.53%的 IRD 概念没有被任何一个标准术语涵盖。

结论

本研究建立了一个全面的分类系统,根据表型和基因型特征对 IRD 疾病进行分类。它可以用于 IRD 临床文档的目的,也可以被视为开发更强大的 IRD 标准本体或更新现有标准术语的初步步骤。相比之下,我们提出的分类中最大的内容覆盖范围与 UMLS Metathesaurus 相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce97/10403057/91fd09186805/pone.0281858.g001.jpg

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