Evidence map›Paper›PMID 40761583›Full record

ReviewJournal of multidisciplinary healthcare2025

Worldwide Research Trends on Lung Cancer and Microbiota: A Bibliometric and Visualized Analysis.

Yi-Feng Ren, Shi-Yan Tan, Qian Wang, Jia-Wei He, Feng-Ming You, Qiong Ma, Li-Ting You

Abstract readReview
In one paragraph

Review in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yi-Feng Ren *Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, People's Republic of China.ORCID 0000-0003-2976-4250
Shi-Yan Tan *Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, People's Republic of China.
Qian WangHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, People's Republic of China.
Jia-Wei HeHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, People's Republic of China.
Feng-Ming YouHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, People's Republic of China.
Qiong MaHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, People's Republic of China.
Li-Ting YouDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, 610041, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The microbiota is intricately linked to lung cancer's development, progression, diagnosis, and treatment, garnering significant academic interest. This study employs bibliometric methods to trace trends and advancements, emphasizing the extraction and analysis of clinical research data, and outlines current challenges and future research directions. Methods: We selected the literature in the Web of Science Core Collection database. To provide an overview, annual publications, countries/regions, and keywords were evaluated through a bibliometric analysis, and extracted and analyzed key clinical information. Results: A total of 579 publications were reviewed, with 177 clinical studies chosen for detailed analysis. These publications, spanning from 1997 to 2025, showed a consistent yearly increase in the number of articles, despite some fluctuations. Conclusion: This field has a bright research prospect, and there is a huge unmet clinical need. Future studies need to expand the sample size and further explore microbiota associated with the mechanisms, diagnosis, treatment and prognosis of lung cancer. Solving problems such as small sample size, heterogeneity of the population, sequencing bias, and precise diagnosis, conducting cross-regional and multicenter research, and identifying specific microbiota that have an important impact on cancer treatment are future challenges.

Indexed as

bibliometriclung cancermicrobiota

Identifiers

PMID40761583
PMCPMC12318835

What OpenQuestion holds

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LicenceCC BY-NC
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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.