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焦磷酸钙沉积(CPPD)命名法的系统文献综述:疾病要素与临床状态——痛风、高尿酸血症及晶体相关性疾病网络(G-CAN)共识项目

Systematic literature review on Calcium Pyrophosphate Deposition (CPPD) nomenclature: condition elements and clinical states- A Gout, Hyperuricaemia and Crystal-Associated Disease Network (G-CAN) consensus project.

作者信息

Jauffret Charlotte, Adinolfi Antonella, Sirotti Silvia, Cirillo Daniele, Ingrao Luca, Lucia Alessandro, Cipolletta Edoardo, Filippucci Emilio, Tedeschi Sara, Terkeltaub Robert, Dalbeth Nicola, Pascart Tristan, Filippou Georgios

机构信息

Rheumatology Department, Lille Catholic University, Saint Philibert Hospital, EA 7446 - ETHICS, Lille, France.

University of Lille, ULR 2694 - METRICS, CERIM, Lille, France.

出版信息

RMD Open. 2025 Jan 30;11(1):e004847. doi: 10.1136/rmdopen-2024-004847.

DOI:10.1136/rmdopen-2024-004847
PMID:39884730
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11784236/
Abstract

OBJECTIVES

The Gout, Hyperuricaemia and Crystal-Associated Disease Network (G-CAN) has developed a calcium pyrophosphate deposition (CPPD) nomenclature project. This systematic literature review constituted its first step and aimed to provide a state-of-the-art analysis of the medical literature of the last 20 years.

METHODS

A systematic literature search was undertaken in the , and databases between 2000 and 2022, restricted to studies on humans and in the English language. Eight reviewers independently and manually extracted labels related to CPPD concepts, according to an a priori list generated by the authors: pathogenic conditions and pathogenic crystal labels, elementary imaging condition elements and asymptomatic and symptomatic condition states. For each concept, labels were analysed to determine their frequency.

RESULTS

Among the 2375 articles identified, 886 articles were included, of which 394 (44.5%) were case reports and 169 (19.0%) were scoping reviews. Overall, the most common labels used to designate the pathogenic condition were ' in 365/783 (46.6%), ' in 207/783 (26.4%) and ' in 181/783 (23.1%) occurrences. The most common abbreviation was 'CPPD' in 312/390 (80.0%), but with different meanings. CPPD clinical phenotypes were often described as 'pseudo-form' labels.

CONCLUSION

Those results demonstrate the heterogeneity of labels used to describe CPPD condition concepts, with wide variation in condition labels in the medical literature. This work provides the rationale and basis to achieve agreement about CPPD technical nomenclature.

摘要

目的

痛风、高尿酸血症和晶体相关疾病网络(G-CAN)开展了一项焦磷酸钙沉积(CPPD)命名项目。这项系统文献综述是其第一步,旨在对过去20年的医学文献进行最新分析。

方法

于2000年至2022年在 、 和 数据库中进行系统文献检索,仅限于关于人类且为英文的研究。八位评审员根据作者事先生成的列表,独立且手动提取与CPPD概念相关的标签:致病状况和致病晶体标签、基本影像状况要素以及无症状和有症状状况状态。对于每个概念,分析标签以确定其出现频率。

结果

在识别出的2375篇文章中,纳入了886篇文章,其中394篇(44.5%)为病例报告,169篇(19.0%)为范围综述。总体而言,用于指定致病状况的最常见标签是“ ”,出现365/783次(46.6%),“ ”出现207/783次(26.4%),“ ”出现181/783次(23.1%)。最常见的缩写是“CPPD”,出现312/390次(80.0%),但含义不同。CPPD临床表型常被描述为“假形式”标签。

结论

这些结果表明用于描述CPPD状况概念的标签具有异质性,医学文献中的状况标签差异很大。这项工作为就CPPD技术命名达成共识提供了理论依据和基础。

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本文引用的文献

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Curr Opin Rheumatol. 2024 May 1;36(3):241-250. doi: 10.1097/BOR.0000000000001001. Epub 2024 Jan 31.
2
Uptake of the Gout and Crystal Arthritis Network Consensus Statements for Gout Nomenclature.痛风与晶体关节炎网络共识声明对痛风命名的采纳。
Arthritis Care Res (Hoboken). 2024 Mar;76(3):415-420. doi: 10.1002/acr.25250. Epub 2023 Dec 6.
3
The 2023 ACR/EULAR classification criteria for calcium pyrophosphate deposition disease.
2023 年 ACR/EULAR 焦磷酸钙沉积病分类标准。
Ann Rheum Dis. 2023 Oct;82(10):1248-1257. doi: 10.1136/ard-2023-224575. Epub 2023 Jul 26.
4
High prevalence of chondrocalcinosis and frequent comorbidity with calcium pyrophosphate deposition disease in patients with seronegative rheumatoid arthritis.血清阴性类风湿关节炎患者中软骨钙质沉着症的高发率和与焦磷酸钙沉积病的频繁合并症。
RMD Open. 2022 Jun;8(2). doi: 10.1136/rmdopen-2022-002383.
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ICD-11: an international classification of diseases for the twenty-first century.《国际疾病分类第 11 次修订本》:二十一世纪的国际疾病分类。
BMC Med Inform Decis Mak. 2021 Nov 9;21(Suppl 6):206. doi: 10.1186/s12911-021-01534-6.
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The PRISMA 2020 statement: an updated guideline for reporting systematic reviews.PRISMA 2020 声明:系统评价报告的更新指南。
BMJ. 2021 Mar 29;372:n71. doi: 10.1136/bmj.n71.
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Classifying Pseudogout Using Machine Learning Approaches With Electronic Health Record Data.基于电子健康记录数据使用机器学习方法对假性痛风进行分类。
Arthritis Care Res (Hoboken). 2021 Mar;73(3):442-448. doi: 10.1002/acr.24132.
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Issues in CPPD Nomenclature and Classification.CPPD 命名和分类问题。
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