Evidence map›Paper›PMID 40351459›Full record

SynthesisFrontiers in medicine2025

Trends and hotspots in pulmonary fibrosis biomarker research: a bibliometric analysis.

Ling Wang, Jianliang Huang, Gan Tan, Yurou Zhang, Mingkai Xia, Zhen Kang, Yun Xiao, Mingsheng Lei

Abstract readSystematic Review
In one paragraph

Synthesis 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 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. 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

8 authors.

Ling Wang *Department of Pulmonary and Critical Care Medicine, Zhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, Hunan, China.
Jianliang Huang *Department of Pulmonary and Critical Care Medicine, Zhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, Hunan, China.
Gan TanDepartment of Pulmonary and Critical Care Medicine, Zhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, Hunan, China.
Yurou ZhangDepartment of Pulmonary and Critical Care Medicine, Zhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, Hunan, China.
Mingkai XiaDepartment of Pulmonary and Critical Care Medicine, Zhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, Hunan, China.
Zhen KangThe Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China.
Yun XiaoDepartment of Pulmonary and Critical Care Medicine, Changsha Central Hospital, Changsha, Hunan, China.
Mingsheng LeiDepartment of Pulmonary and Critical Care Medicine, Zhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary fibrosis is a fatal disease characterized by progressive scarring of lung tissue, with a complex pathogenesis and limited therapeutic options. The identification of robust biomarkers is critical for addressing key clinical challenges, including delayed diagnosis and poor prognostic assessment. Methods: This study systematically analyzes global research trends and emerging hotspots in pulmonary fibrosis biomarkers by examining literature from 2001 to 2024 indexed in the Web of Science Core Collection. Utilizing a suite of bibliometric tools including VOSviewer, CiteSpace, Bibliometrix, Scimago Graphica, and OriginPro 2021, this work provides the first comprehensive insight into the evolving landscape of biomarker research in pulmonary fibrosis. Results: This study included a total of 2,519 articles and reviews related to pulmonary fibrosis biomarkers. Since 2005, publication trends in this field have steadily increased. Research on pulmonary fibrosis biomarkers has involved 71 countries, 3,036 institutions, 760 journals, and over 14,000 researchers. China produced the highest number of publications ( Conclusion: The clinical application of gene and imaging biomarkers achieved through the integration of multiple parameters and multi-omics fusion represents a promising future trend and emerging hotspot in pulmonary fibrosis biomarker research.

Indexed as

bibliometric analysisbiomarkersdisease managementMUC5Bpulmonary fibrosis

Identifiers

PMID40351459
PMCPMC12061669

What OpenQuestion holds

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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.