Evidence map›Paper›PMID 31065299›Full record

ArticleCanadian respiratory journal2019

Endocan, a Risk Factor for Developing Acute Respiratory Distress Syndrome among Severe Pneumonia Patients.

Jun Ying, Danfei Zhou, Tongjie Gu, Jianda Huang

Abstract read
In one paragraph

Article in Canadian respiratory journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

4 authors.

Jun YingDepartment of Respiratory, Hwa Mei Hospital, University of Chinese Academy of Sciences, No. 41, Xibei Street, Ningbo 315000, Zhejiang, China.
Danfei ZhouDepartment of Respiratory, Hwa Mei Hospital, University of Chinese Academy of Sciences, No. 41, Xibei Street, Ningbo 315000, Zhejiang, China.
Tongjie GuDepartment of Respiratory, Hwa Mei Hospital, University of Chinese Academy of Sciences, No. 41, Xibei Street, Ningbo 315000, Zhejiang, China.
Jianda HuangDepartment of Respiratory, Hwa Mei Hospital, University of Chinese Academy of Sciences, No. 41, Xibei Street, Ningbo 315000, Zhejiang, China.ORCID 0000-0002-9599-4137

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Severe pneumonia (SP) has been widely accepted as a major cause for acute respiratory distress syndrome (ARDS), and the development of ARDS is significantly associated with increased mortality. This study aimed to identify potential predictors for ARDS development in patients with SP. Methods: Eligible SP patients at admission from January 2013 to June 2017 were prospectively enrolled, and ARDS development within hospital stay was identified. Risk factors for ARDS development in SP patients were analyzed by univariate and multivariate logistic regression analysis. The receiver operating characteristic (ROC) curve analysis with the area under the curve (AUC) was performed for the predictive value of endocan for ARDS development. Results: A total of 145 SP patients were eventually enrolled into the final analysis, of which 37 developed ARDS during the hospital stay. Our final multivariate logistic regression analysis suggested plasma endocan expression as the only independent risk factor for ARDS development in SP patients (OR: 1.57, 95% CI: 1.14-2.25, Conclusions: Endocan expression at ICU admission is a reliable predictive factor in predicting ARDS in patients with SP.

Indexed as

AgedBiomarkersFemaleHumansMaleMiddle AgedNeoplasm ProteinsPneumoniaProspective StudiesProteoglycansRespiratory Distress SyndromeRisk FactorsBiomarkersESM1 protein, humanNeoplasm ProteinsProteoglycans

Identifiers

PMID31065299
PMCPMC6466887

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Registered trials

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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.