Evidence map›Paper›PMID 31399453›Full record

ArticleBMJ open2019

VOC biomarkers identification and predictive model construction for lung cancer based on exhaled breath analysis: research protocol for an exploratory study.

Wenwen Li, Wei Dai, Mingxin Liu, Yijing Long, Chunyan Wang, Shaohua Xie, Yuanling Liu, Yinchenxi Zhang, Qiuling Shi, Xiaoqin Peng and 3 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
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  11. The role of Exosomal miRNAs in cancer.Journal of translational medicine · 2022
    Review
  12. Article
  13. Article
  14. Early diagnosis and screening in lung cancer.American journal of cancer research · 2020
    Review
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

13 authors.

Wenwen Li *West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Wei Dai *Department of Thoracic Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0000-0003-1650-1590
Mingxin LiuDepartment of Thoracic Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Yijing LongResearch Center of Analytical Instrumentation, The College of Life Sciences, Sichuan University, Chengdu, China.
Chunyan WangResearch Center of Analytical Instrumentation, The College of Life Sciences, Sichuan University, Chengdu, China.
Shaohua XieDepartment of Thoracic Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Yuanling LiuResearch Center of Analytical Instrumentation, The College of Life Sciences, Sichuan University, Chengdu, China.
Yinchenxi ZhangResearch Center of Analytical Instrumentation, The College of Life Sciences, Sichuan University, Chengdu, China.
Qiuling ShiDepartment of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Xiaoqin PengDepartment of Thoracic Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Yifeng LiuDepartment of Thoracic Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Qiang LiDepartment of Thoracic Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Yixiang DuanResearch Center of Analytical Instrumentation, The College of Life Sciences, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLung cancer is the most common cancer and the leading cause of cancer death in China, as well as in the world. Late diagnosis is the main obstacle to improving survival. Currently, early detection methods for lung cancer have many limitations, for example, low specificity, risk of radiation exposure and overdiagnosis. Exhaled breath analysis is one of the most promising non-invasive techniques for early detection of lung cancer. The aim of this study is to identify volatile organic compound (VOC) biomarkers in lung cancer and to construct a predictive model for lung cancer based on exhaled breath analysis. METHODS AND ANALYSIS: The study will recruit 389 lung cancer patients in one cancer centre and 389 healthy subjects in two lung cancer screening centres. Bio-VOC breath sampler and Tedlar bag will be used to collect breath samples. Gas chromatography-mass spectrometry coupled with solid phase microextraction technique will be used to analyse VOCs in exhaled breath. VOC biomarkers with statistical significance and showing abilities to discriminate lung cancer patients from healthy subjects will be selected for the construction of predictive model for lung cancer. ETHICS AND DISSEMINATION: The study was approved by the Ethics Committee of Sichuan Cancer Hospital on 6 April 2017 (No. SCCHEC-02-2017-011). The results of this study will be disseminated in presentations at academic conferences, publications in peer-reviewed journals and the news media. TRIAL REGISTRATION NUMBER: ChiCTR-DOD-17011134; Pre-results.

Indexed as

AgedBiomarkersBreath TestsChinaEarly Detection of CancerFemaleHumansLung NeoplasmsMaleMiddle AgedMulticenter Studies as TopicRandomized Controlled Trials as TopicVolatile Organic CompoundsBiomarkersVolatile Organic Compoundsbiomarkerearly diagnosisexhaled breathlung cancervolatile organic compounds

Identifiers

PMID31399453
PMCPMC6701581

What OpenQuestion holds

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LicenceCC BY-NC
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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.