Evidence map›Paper›PMID 30755248›Full record

SynthesisCritical care (London, England)2019

Lung fluid biomarkers for acute respiratory distress syndrome: a systematic review and meta-analysis.

Yishan Wang, Huijuan Wang, Chunfang Zhang, Chao Zhang, Huqin Yang, Ruiyue Gao, Zhaohui Tong

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Critical care (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 citations in OpenAlex.

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  17. Wnt5a/β-catenin axis is involved in the downregulation of AT2 lineage by PAI-1.American journal of physiology. Lung cellular and molecular physiology · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Yishan WangDepartment of Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Beijing Institute of Respiratory Medicine, Beijing Engineering Research Center of Respiratory and Critical Care Medicine, Capital Medical University, NO. 8, Gong Ti South Road, Chao-Yang District, Beijing, 100020, China.
Huijuan WangDepartment of Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Beijing Institute of Respiratory Medicine, Beijing Engineering Research Center of Respiratory and Critical Care Medicine, Capital Medical University, NO. 8, Gong Ti South Road, Chao-Yang District, Beijing, 100020, China.
Chunfang ZhangDepartment of Anesthesiology, Pain Medicine and Critical Care Medicine, Aviation General Hospital of China Medical University and Beijing Institute of Translational Medicine, Chinese Academy of Sciences, Beijing, 100012, China.
Chao ZhangDepartment of Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Beijing Institute of Respiratory Medicine, Beijing Engineering Research Center of Respiratory and Critical Care Medicine, Capital Medical University, NO. 8, Gong Ti South Road, Chao-Yang District, Beijing, 100020, China.
Huqin YangDepartment of Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Beijing Institute of Respiratory Medicine, Beijing Engineering Research Center of Respiratory and Critical Care Medicine, Capital Medical University, NO. 8, Gong Ti South Road, Chao-Yang District, Beijing, 100020, China.
Ruiyue GaoDepartment of Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Beijing Institute of Respiratory Medicine, Beijing Engineering Research Center of Respiratory and Critical Care Medicine, Capital Medical University, NO. 8, Gong Ti South Road, Chao-Yang District, Beijing, 100020, China.
Zhaohui TongDepartment of Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Beijing Institute of Respiratory Medicine, Beijing Engineering Research Center of Respiratory and Critical Care Medicine, Capital Medical University, NO. 8, Gong Ti South Road, Chao-Yang District, Beijing, 100020, China. tongzhaohuicy@sina.com.ORCID 0000-0002-5341-6857
Capital Medical University · CN

Funding

Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support ZYLX201312Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support (CN) DFL20150302Beijing Natural Science Foundation of China 7172084Capital's Funds for Health Improvement and Research 2016-1-1061National Natural Science Foundation of China 81500003
6 · The paper itself

Abstract

backgroundWith the development of new techniques to easily obtain lower respiratory tract specimens, bronchoalveolar lavage fluid and other lung fluids are gaining importance in pulmonary disease diagnosis. We aimed to review and summarize lung fluid biomarkers associated with acute respiratory distress syndrome diagnosis and mortality.

methodsAfter searching PubMed, Embase, Web of Science, and the Cochrane Library for articles published prior to January 11, 2018, we performed a meta-analysis on biomarkers for acute respiratory distress syndrome diagnosis in at-risk patients and those related to disease mortality. From the included studies, we then extracted the mean and standard deviation of the biomarker concentrations measured in the lung fluid, acute respiratory distress syndrome etiologies, sample size, demographic variables, diagnostic criteria, mortality, and protocol for obtaining the lung fluid. The effect size was measured by the ratio of means, which was then synthesized by the inverse-variance method using its natural logarithm form and transformed to obtain a pooled ratio and 95% confidence interval.

resultsIn total, 1156 articles were identified, and 49 studies were included. Increases in total phospholipases A2 activity, total protein, albumin, plasminogen activator inhibitor-1, soluble receptor for advanced glycation end products, and platelet activating factor-acetyl choline were most strongly associated with acute respiratory distress syndrome diagnosis. As for biomarkers associated with acute respiratory distress syndrome mortality, interleukin-1β, interleukin-6, interleukin-8, Kerbs von Lungren-6, and plasminogen activator inhibitor-1 were significantly increased in the lung fluid of patients who died. Decreased levels of Club cell protein and matrix metalloproteinases-9 were associated with increased odds for acute respiratory distress syndrome diagnosis, whereas decreased levels of Club cell protein and interleukin-2 were associated with increased odds for acute respiratory distress syndrome mortality.

conclusionsThis meta-analysis provides a ranking system for lung fluid biomarkers, according to their association with diagnosis or mortality of acute respiratory distress syndrome. The performance of biomarkers among studies shown in this article may help to improve acute respiratory distress syndrome diagnosis and outcome prediction.

Indexed as

Antigens, Human PlateletBiomarkersBronchoalveolar Lavage FluidHepatocyte Growth FactorHumansInterleukin-8LungPlasminogen Activator Inhibitor 1Platelet Activating FactorReceptor for Advanced Glycation End ProductsRespiratory Distress SyndromeAGER protein, humanAntigens, Human PlateletBiomarkersHepatocyte Growth FactorHGF protein, humanhuman platelet antigen 1bInterleukin-8Plasminogen Activator Inhibitor 1Platelet Activating FactorReceptor for Advanced Glycation End ProductsSERPINE1 protein, humanAcute lung injuryAdultBiomarkersBronchoalveolar lavage fluidDiagnosisMortalityRespiratory distress syndrome

Identifiers

PMID30755248
PMCPMC6373030
OpenAlexW2912361388

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.