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影响中国肺癌发病率的因素:一项Meta分析。

Factors Influencing the Lung Cancer Incidence in China: A Meta-Analysis.

作者信息

Yang Kaihan, Jiang Hongwei, Deng Lu, Chi Yang, Xiao Xueyi, Zhang Shuai

机构信息

School of Preclinical Medicine, School of Nursing, Chengdu University, Chengdu, Sichuan Province, China.

Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.

出版信息

Florence Nightingale J Nurs. 2024 Jun 28;32(2):198-205. doi: 10.5152/FNJN.2024.23050.

DOI:10.5152/FNJN.2024.23050
PMID:39552278
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11332445/
Abstract

The aim of the study was to systematically evaluate the main factors associated with lung cancer incidence in China and provide reference for developing successful lung cancer interventions and accelerating progress against cancer. All publications related to the influencing factors of lung cancer incidence were retrieved from four databases from their date of inception through September 2022. Eight Medical Subject Headings and corresponding keywords were utilized to identify eligible trials in China National Knowledge Infrastructure (CNKI), Wanfang Database, Chinese Scientific Journals Database (VIP), and China Biology Medicine Database (CBM). The heterogeneity test and meta-analysis were conducted using Review Manager (RevMan, version 5.4) software. This study was designed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols. Fourteen studies, published from 2000 to 2019, have been chosen and incorporated in a meta-analysis. The mean total quality score across the included studies was 7, with a range of 6-8. The findings of the meta-analysis demonstrated that smoking (odds ratio=2.46, 95% confidence interval: 1.94-3.11), passive smoking (odds ratio=2.44, 95% confidence interval: 2.13-2.80), lung/respiratory disease (odds ratio=2.66, 95% confidence interval: 1.82-3.89), family history of tumor (odds ratio=2.79, 95% confidence interval: 1.80-4.32), oil fume (odds ratio=1.91, 95% confidence interval: 1.50-2.43), and psychological factor (odds ratio=2.27, 95% confidence interval: 1.89-2.73) were risk factors for lung cancer, while more fruits and vegetables (odds ratio=0.51, 95% confidence interval: 0.35-0.75), exercise (odds ratio=0.55, 95% confidence interval: 0.43-0.72), and tea drinking (odds ratio=0.52, 95% confidence interval: 0.32-0.83) were protective factors for lung cancer. Funnel plot analysis demonstrated the absence of any apparent publication bias. The risk and protective factors influencing the lung cancer incidence are diverse. Considering the research limitations, we should have more research projects to explore the factors that affect lung cancer incidence and explain the research results.

摘要

本研究旨在系统评估中国肺癌发病的主要相关因素,为制定成功的肺癌干预措施及加快抗癌进程提供参考。从四个数据库中检索自创建之日起至2022年9月与肺癌发病影响因素相关的所有出版物。在中国知网(CNKI)、万方数据库、维普中文科技期刊数据库(VIP)和中国生物医学文献数据库(CBM)中,使用八个医学主题词及相应关键词来识别符合条件的试验。采用Review Manager(RevMan,版本5.4)软件进行异质性检验和荟萃分析。本研究是根据系统评价和荟萃分析方案的首选报告项目设计的。已选取2000年至2019年发表的14项研究纳入荟萃分析。纳入研究的平均总体质量评分为7分,范围为6 - 8分。荟萃分析结果表明,吸烟(比值比 = 2.46,95%置信区间:1.94 - 3.11)、被动吸烟(比值比 = 2.44,95%置信区间:2.13 - 2.80)、肺部/呼吸系统疾病(比值比 = 2.66,95%置信区间:1.82 - 3.89)、肿瘤家族史(比值比 = 2.79,95%置信区间:1.80 - 4.32)、油烟(比值比 = 1.91,95%置信区间:1.50 - 2.43)和心理因素(比值比 = 2.27,95%置信区间:1.89 - 2.73)是肺癌的危险因素,而更多的水果和蔬菜摄入(比值比 = 0.51,95%置信区间:0.35 - 0.75)、运动(比值比 = 0.55,95%置信区间:0.43 - 0.72)和饮茶(比值比 = 0.52,95%置信区间:0.32 - 0.83)是肺癌的保护因素。漏斗图分析表明不存在明显的发表偏倚。影响肺癌发病的危险因素和保护因素多种多样。考虑到研究局限性,我们应有更多研究项目来探索影响肺癌发病的因素并阐释研究结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1605/11332445/486b52b3275a/fnjn-32-2-198_f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1605/11332445/64e1c0b86a7f/fnjn-32-2-198_f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1605/11332445/5534a8f04420/fnjn-32-2-198_f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1605/11332445/64eb1ae63770/fnjn-32-2-198_f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1605/11332445/486b52b3275a/fnjn-32-2-198_f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1605/11332445/64e1c0b86a7f/fnjn-32-2-198_f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1605/11332445/5534a8f04420/fnjn-32-2-198_f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1605/11332445/64eb1ae63770/fnjn-32-2-198_f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1605/11332445/486b52b3275a/fnjn-32-2-198_f004.jpg

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