Krebs von den Lungen-6 (KL-6) as a diagnostic marker for pulmonary fibrosis: A systematic review and meta-analysis

医学 荟萃分析 纤维化 肺纤维化 病理
作者
Chuanzhu Wang,Qingbao Wang,Tong Liu,Jun Zhu,Boke Zhang
出处
期刊:Clinical Biochemistry [Elsevier]
卷期号:114: 30-38 被引量:5
标识
DOI:10.1016/j.clinbiochem.2023.01.010
摘要

Pulmonary fibrosis (PF) is a respiratory disease with end-stage pathological changes of interstitial lung disease that severely affects the survival of patients. Among the many biomarkers that have been identified, serum Krebs von den Lungen-6 (KL-6) is by far the most frequent marker for detecting pulmonary fibrosis. We searched Medline (Pubmed), Embase, Web of science, and Cochrane databases for articles published between inception and August 2022 in order to explore the association between KL-6 and pulmonary fibrosis. Characteristics of patients and studies included in the articles were extracted by two independent investigators according to the inclusion and exclusion criteria. We reflected the accuracy of KL-6 in distinguishing between PF and non-PF by calculating sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and area under the curve by SROC curves. The presence of heterogeneity was reflected by I2 in the forest plot, and then the source of heterogeneity was investigated by meta-regression. We searched for 939 research papers, of which 16 met the inclusion criteria. Meta-analysis showed a sensitivity of 0.87 (95 % CI: 0.78–0.92), specificity of 0.91 (95 % CI: 0.86–0.95), positive likelihood ratio of 10.2 (95 % CI: 6.1, 17.0) and negative likelihood ratio of 0.14 (95 % CI: 0.08, 0.25) for KL-6 in diagnosing pulmonary fibrosis. The area under the receiver operating characteristic curve was 0.95 (95 % CI: 0.93–0.97). The results showed significant heterogeneity in both sensitivity and specificity (I2 = 94.55 and 91.52, respectively). Meta-regression analysis identified race as the cause of sensitivity heterogeneity and assay methodology as the cause of specificity heterogeneity. The analysis of this study suggests that serum KL-6 is a better tool for the diagnosis of pulmonary fibrosis when factors such as disease cause and control group category are not specifically considered.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
寒川厚完成签到,获得积分10
1秒前
乐乐应助yiy37采纳,获得10
2秒前
2秒前
3秒前
3秒前
完美世界应助豆包_P12345采纳,获得50
3秒前
3秒前
mojibunny完成签到,获得积分10
3秒前
张益权完成签到,获得积分10
4秒前
5秒前
高高千万完成签到,获得积分10
5秒前
5秒前
科研通AI6应助llh采纳,获得10
5秒前
6秒前
老老实实好好活着完成签到,获得积分10
6秒前
6秒前
6秒前
6秒前
逢春关注了科研通微信公众号
7秒前
7秒前
HQ发布了新的文献求助10
7秒前
乐乐应助科研通管家采纳,获得10
7秒前
专注白昼应助科研通管家采纳,获得20
7秒前
酷波er应助顺利的奇异果采纳,获得10
7秒前
Lucas应助科研通管家采纳,获得10
7秒前
JamesPei应助科研通管家采纳,获得10
7秒前
叶泽完成签到,获得积分10
7秒前
思源应助科研通管家采纳,获得50
7秒前
7秒前
meteor应助科研通管家采纳,获得20
7秒前
天天快乐应助科研通管家采纳,获得10
7秒前
7秒前
小蘑菇应助科研通管家采纳,获得10
7秒前
iNk应助科研通管家采纳,获得20
8秒前
量子星尘发布了新的文献求助10
8秒前
无为完成签到,获得积分10
8秒前
wanci应助科研通管家采纳,获得20
8秒前
天天快乐应助科研通管家采纳,获得50
8秒前
小马甲应助科研通管家采纳,获得10
8秒前
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.).. Frederic G. Reamer 1070
The Complete Pro-Guide to the All-New Affinity Studio: The A-to-Z Master Manual: Master Vector, Pixel, & Layout Design: Advanced Techniques for Photo, Designer, and Publisher in the Unified Suite 1000
按地区划分的1,091个公共养老金档案列表 801
The International Law of the Sea (fourth edition) 800
Machine Learning for Polymer Informatics 500
A Guide to Genetic Counseling, 3rd Edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5409878
求助须知:如何正确求助?哪些是违规求助? 4527416
关于积分的说明 14110521
捐赠科研通 4441833
什么是DOI,文献DOI怎么找? 2437651
邀请新用户注册赠送积分活动 1429598
关于科研通互助平台的介绍 1407728