Evidence map›Paper›PMID 29218109›Full record

ArticleAmerican journal of translational research2017

Rational lung tissue and animal models for rapid breath tests to determine pneumonia and pathogens.

Yong Zhou, Enguo Chen, Xiaohong Wu, Yanjie Hu, Huiqing Ge, Peifeng Xu, Yingchang Zou, Joy Jin, Ping Wang, Kejing Ying

Abstract read
In one paragraph

Article in American journal of translational research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Review
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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

10 authors.

Yong ZhouRespiratory Department, Sir Run Run Shaw Hospital, Medical School, Zhejiang UniversityHangzhou, Zhejiang, China.
Enguo ChenRespiratory Department, Sir Run Run Shaw Hospital, Medical School, Zhejiang UniversityHangzhou, Zhejiang, China.
Xiaohong WuRespiratory Department, Sir Run Run Shaw Hospital, Medical School, Zhejiang UniversityHangzhou, Zhejiang, China.
Yanjie HuRespiratory Department, Sir Run Run Shaw Hospital, Medical School, Zhejiang UniversityHangzhou, Zhejiang, China.
Huiqing GeRespiratory Therapy Department, Sir Run Run Shaw Hospital, Medical School, Zhejiang UniversityHangzhou, Zhejiang, China.
Peifeng XuRespiratory Therapy Department, Sir Run Run Shaw Hospital, Medical School, Zhejiang UniversityHangzhou, Zhejiang, China.
Yingchang ZouBiosensor National Special Lab, Key Lab for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang UniversityHangzhou, Zhejiang, China.
Joy JinThoracic Oncology Program, Department of Surgery, Helen Diller Family Comprehensive Cancer Center, University of California San FranciscoUSA.
Ping WangBiosensor National Special Lab, Key Lab for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang UniversityHangzhou, Zhejiang, China.
Kejing YingRespiratory Department, Sir Run Run Shaw Hospital, Medical School, Zhejiang UniversityHangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study works to develop novel models that may be adopted for earlier non-invasive breathomics tests to determine pneumonia pathogens.

methodsTwo types of pneumonia models were created, both

resultsPneumonia and pathogen-specific discriminating VOC patterns (1H-Pyrrole-3-carbonitrile, Diethyl phthalate, Cedrol, Decanoic acid, Cyclohexane, Diisooctyl phthalate) were determined.

conclusionOur study successfully generated nosocomial pneumonia models for pneumonia diagnosis and pathogen-discriminating breath tests. The tests may allow for earlier pneumonia and pathogen diagnoses, and may transfer empirical therapy to targeted therapy earlier, thus improving clinical outcomes.

Indexed as

breathomicsBreath testnosocomial pneumonia modelpathogen diagnosisVOC biomarkers

Identifiers

PMID29218109
PMCPMC5714795

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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.