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.

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
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
谨慎雪碧完成签到 ,获得积分10
1秒前
汉堡包应助Viv采纳,获得30
4秒前
冷傲的以旋完成签到,获得积分10
6秒前
科研通AI6.2应助儒雅寒天采纳,获得10
9秒前
HuiLang完成签到 ,获得积分10
12秒前
KY完成签到 ,获得积分10
12秒前
笨笨的怜雪完成签到 ,获得积分10
12秒前
Wjh123456完成签到,获得积分10
13秒前
眼睛大凤完成签到 ,获得积分10
13秒前
16秒前
大模型应助ll采纳,获得10
16秒前
su完成签到 ,获得积分10
18秒前
aizhujun发布了新的文献求助10
19秒前
FashionBoy应助cc采纳,获得10
22秒前
大气灵枫完成签到,获得积分10
25秒前
26秒前
28秒前
YukiXu完成签到 ,获得积分10
31秒前
吴晨曦发布了新的文献求助10
32秒前
cc发布了新的文献求助10
33秒前
34秒前
36秒前
36秒前
大胆博发布了新的文献求助10
38秒前
YDY发布了新的文献求助10
40秒前
heavenhorse发布了新的文献求助30
42秒前
Rebeccaiscute发布了新的文献求助10
42秒前
YDY完成签到,获得积分10
46秒前
大胆博完成签到,获得积分20
51秒前
心灵美鑫完成签到 ,获得积分0
52秒前
吉星高照完成签到,获得积分10
53秒前
soda完成签到,获得积分10
54秒前
微风完成签到 ,获得积分10
55秒前
King完成签到 ,获得积分10
56秒前
涵霸天发布了新的文献求助10
1分钟前
orixero应助zsw2366采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
高分求助中
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 800
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 600
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
T/SNFSOC 0002—2025 独居石精矿碱法冶炼工艺技术标准 300
The Impact of Lease Accounting Standards on Lending and Investment Decisions 250
The Linearization Handbook for MILP Optimization: Modeling Tricks and Patterns for Practitioners (MILP Optimization Handbooks) 200
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5852038
求助须知:如何正确求助?哪些是违规求助? 6275378
关于积分的说明 15627594
捐赠科研通 4967959
什么是DOI,文献DOI怎么找? 2678844
邀请新用户注册赠送积分活动 1623076
关于科研通互助平台的介绍 1579499