Evidence map›Paper›PMID 40880775›Full record

ReviewFrontiers in medicine2025

Research hotspots and frontiers of application of mass spectrometry breath test in respiratory diseases.

Yunanji Zhou, Xinyi Qiu, Ting Yuan, Qian Wang, Lei Du, Lihua Wang, Zhaohui Ding

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. [Breath metabolomic characteristics of schizophrenia and their potential for auxiliary diagnosis].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Article
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.

Yunanji ZhouQi Huang Chinese Medicine Academy, Jiangxi University of Chinese Medicine, Nanchang, China.
Xinyi QiuSchool of Clinical Medicine, Jiangxi University of Chinese Medicine, Nanchang, China.
Ting YuanSchool of Clinical Medicine, Jiangxi University of Chinese Medicine, Nanchang, China.
Qian WangQi Huang Chinese Medicine Academy, Jiangxi University of Chinese Medicine, Nanchang, China.
Lei DuSchool of Clinical Medicine, Jiangxi University of Chinese Medicine, Nanchang, China.
Lihua WangDepartment of Pulmonary Disease, Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang, China.
Zhaohui DingDepartment of Pulmonary Disease, Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mass spectrometry (MS)-based breath analysis has emerged as a promising non-invasive approach for diagnosing and monitoring respiratory diseases through the identification of volatile organic compounds (VOCs). This study conducted a comprehensive bibliometric analysis of 467 publications (2003-2024) to map global research trends, influential contributors, and thematic hotspots in this field. Results showed a sustained annual growth rate of 11.03%, with the United States, the United Kingdom, the Netherlands, and China leading in publication output and institutional collaborations. Key research areas included VOC profiling for COPD, asthma, lung cancer, and COVID-19, as well as advances in real-time MS techniques and machine learning-based data interpretation. Co-citation analysis revealed a shift toward precision medicine and multi-omics integration, underscoring the field's transition from discovery to clinical translation. Despite challenges in standardization and reproducibility, MS-based breathomics holds transformative potential for respiratory diagnostics. This study provides a roadmap for future research priorities, emphasizing the need for interdisciplinary collaboration, composite biomarker validation, and artificial intelligence integration.

Indexed as

bibliometricsbiomarkersbreath testmass spectrometryrespiratory diseasesvolatile organic compounds

Identifiers

PMID40880775
PMCPMC12380590

What Socratic 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 Socratic graph.