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环境大气风险因素在神经退行性疾病中的地理空间分析:系统评价更新。

Geospatial analysis of environmental atmospheric risk factors in neurodegenerative diseases: a systematic review update.

机构信息

Center for Health Technology and Services Research (CINTESIS@RISE), Faculty of Medicine, University of Porto, Rua Doutor Plácido da Costa, s/n, Porto, 4200-450, Portugal.

Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Rua Doutor Plácido da Costa s/n, 4200-450, Porto, Portugal.

出版信息

Syst Rev. 2024 Oct 24;13(1):267. doi: 10.1186/s13643-024-02637-7.

DOI:10.1186/s13643-024-02637-7
PMID:39449020
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11515500/
Abstract

Following up the previously published systematic review on the same topic and realizing that new studies and evidence had emerged on the matter, we conducted an update on the same research terms. With the objective of updating the information relating environmental risk factors on neurodegenerative diseases and the geographic approaches used to address them, we searched PubMed, Web of Science and Scopus for all scientific studies considering the following three domains: neurodegenerative disease, environmental atmospheric factor and geographical analysis, using the same keywords as in the previously published systematic review. From February 2020 to February 2023, 35 papers were included versus 34 in the previous period, with dementia (including Alzheimer's disease) being the most focused disease (60.0%) in this update, opposed to multiple sclerosis on the last review (55.9%). Also, environmental pollutants such as PM and NO have gained prominence, being represented in 65.7% and 42.9% of the new studies, opposed to 9.8% and 12.2% in the previous review, compared to environmental factors such as sun exposure (5.7% in the update vs 15.9% in the original). The mostly used geographic approach remained the patient's residence (82.9% in the update vs 21.2% in the original and 62.3% in total), and remote sensing was used in 45.7% of the new studies versus 19.7% in the original review, with 42.0% of studies using it globally, being the second most common approach, usually to compute the environmental variable. This review has been registered in PROSPERO with the number CRD42020196188.

摘要

在对同一主题的先前系统评价进行跟进后,我们意识到新的研究和证据已经出现,因此对同一研究主题进行了更新。我们的目标是更新与神经退行性疾病的环境风险因素以及用于解决这些问题的地理方法相关的信息,为此,我们在 PubMed、Web of Science 和 Scopus 中搜索了所有考虑以下三个领域的科学研究:神经退行性疾病、环境大气因素和地理分析,并使用了与先前系统评价相同的关键词。从 2020 年 2 月到 2023 年 2 月,共纳入 35 篇论文,而前一时期为 34 篇,在此更新中,痴呆症(包括阿尔茨海默病)是最受关注的疾病(60.0%),而在上一次评价中,多发性硬化症是最受关注的疾病(55.9%)。此外,环境污染物如 PM 和 NO 的关注度有所提高,分别占新研究的 65.7%和 42.9%,而在上一次评价中,分别占 9.8%和 12.2%,相比之下,环境因素如阳光照射(更新中的 5.7%比原始中的 15.9%)。最常用的地理方法仍然是患者居住地(更新中的 82.9%比原始中的 21.2%和总共的 62.3%),而遥感在新研究中的使用率为 45.7%,而上一次评价中的使用率为 19.7%,全球有 42.0%的研究使用它,是第二常用的方法,通常用于计算环境变量。本评价已在 PROSPERO 注册,注册号为 CRD42020196188。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bced/11515500/8139b98755f0/13643_2024_2637_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bced/11515500/8ad4e56f65f9/13643_2024_2637_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bced/11515500/3c3ed3ae772d/13643_2024_2637_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bced/11515500/39475645d8ab/13643_2024_2637_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bced/11515500/8139b98755f0/13643_2024_2637_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bced/11515500/8ad4e56f65f9/13643_2024_2637_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bced/11515500/3c3ed3ae772d/13643_2024_2637_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bced/11515500/39475645d8ab/13643_2024_2637_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bced/11515500/8139b98755f0/13643_2024_2637_Fig4_HTML.jpg

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本文引用的文献

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Short-term associations between ambient air pollution and emergency department visits for Alzheimer's disease and related dementias.环境空气污染与因阿尔茨海默病及相关痴呆症前往急诊科就诊之间的短期关联。
Environ Epidemiol. 2022 Dec 22;7(1):e237. doi: 10.1097/EE9.0000000000000237. eCollection 2023 Feb.
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