慢性阻塞性肺疾病的检测：障碍与挑战 - Suppr

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超能文献

COPD Detection: Hurdles and Struggles.

作者信息

Regard Lucile, Perez Thierry, Roche Nicolas

机构信息

Hôpital Cochin, APHP, Paris, France.

Université de Paris, Paris, France.

出版信息

Am J Respir Crit Care Med. 2025 Jan 23;211(5):681-3. doi: 10.1164/rccm.202411-2330ED.

DOI:10.1164/rccm.202411-2330ED

PMID:39847722

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12091023/

Abstract

摘要

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec3d/12091023/756fa4cb5ce4/rccm.202411-2330EDf1.jpg

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本文引用的文献

Early Diagnosis and Treatment of COPD and Asthma - A Randomized, Controlled Trial.慢性阻塞性肺疾病和哮喘的早期诊断和治疗 - 一项随机对照试验。

N Engl J Med. 2024 Jun 13;390(22):2061-2073. doi: 10.1056/NEJMoa2401389. Epub 2024 May 19.

Global Burden of Chronic Obstructive Pulmonary Disease Through 2050.全球慢性阻塞性肺疾病负担研究报告 2050 年展望

JAMA Netw Open. 2023 Dec 1;6(12):e2346598. doi: 10.1001/jamanetworkopen.2023.46598.

Impact of Undiagnosed Chronic Obstructive Pulmonary Disease and Asthma on Symptoms, Quality of Life, Healthcare Use, and Work Productivity.未诊断的慢性阻塞性肺疾病和哮喘对症状、生活质量、医疗保健利用及工作生产力的影响

Am J Respir Crit Care Med. 2023 Dec 15;208(12):1271-1282. doi: 10.1164/rccm.202307-1264OC.

Use of CAPTURE to Identify Individuals Who May or May Not Require Treatment for Chronic Obstructive Pulmonary Disease.使用CAPTURE识别可能需要或可能不需要慢性阻塞性肺疾病治疗的个体。

Am J Respir Crit Care Med. 2023 Aug 15;208(4):435-441. doi: 10.1164/rccm.202303-0504OC.

Discriminative Accuracy of the CAPTURE Tool for Identifying Chronic Obstructive Pulmonary Disease in US Primary Care Settings.用于识别美国初级保健环境中慢性阻塞性肺疾病的 CAPTURE 工具的判别准确性。

JAMA. 2023 Feb 14;329(6):490-501. doi: 10.1001/jama.2023.0128.

Screening for Chronic Obstructive Pulmonary Disease: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force.慢性阻塞性肺疾病筛查：美国预防服务工作组的更新证据报告和系统评价。

JAMA. 2022 May 10;327(18):1812-1816. doi: 10.1001/jama.2022.4708.

Performance of alternative COPD case-finding tools: a systematic review and meta-analysis.替代 COPD 病例发现工具的性能：系统评价和荟萃分析。

Eur Respir Rev. 2021 May 25;30(160). doi: 10.1183/16000617.0350-2020. Print 2021 Jun 30.

Artificial Intelligence/Machine Learning in Respiratory Medicine and Potential Role in Asthma and COPD Diagnosis.人工智能/机器学习在呼吸医学中的应用及其在哮喘和 COPD 诊断中的潜在作用。

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