Evidence map›Paper›PMID 38596203›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2024

Promising Intestinal Microbiota Associated with Clinical Characteristics of COPD Through Integrated Bioinformatics Analysis.

Tianwen Lai, Chaole Luo, Yalian Yuan, Jia Fang, Yun Wang, Xiantong Tang, Lihuan Ouyang, Keyan Lin, Bin Wu, Weimin Yao and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Observational
  2. Review
  3. Observational
  4. Review
  5. Review
  6. Article
  7. CD27 on IgD-CD38-B Cells Mediates the Coprococcus-COPD Link.International journal of chronic obstructive pulmonary disease · 2025
    Article
  8. 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

11 authors at 1 institution in 1 country.

Tianwen Lai *Department of Respiratory and Critical Care Medicine, the First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523121, People's Republic of China.ORCID 0000-0001-9921-3425
Chaole Luo *Department of Respiratory and Critical Care Medicine, the First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523121, People's Republic of China.
Yalian Yuan *Respiratory Diseases Research Institute, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001, People's Republic of China.
Jia Fang *Department of Respiratory and Critical Care Medicine, the First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523121, People's Republic of China.
Yun WangDepartment of Respiratory and Critical Care Medicine, the First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523121, People's Republic of China.
Xiantong TangDepartment of Respiratory and Critical Care Medicine, the First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523121, People's Republic of China.
Lihuan OuyangDepartment of Respiratory and Critical Care Medicine, the First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523121, People's Republic of China.
Keyan LinDepartment of Respiratory and Critical Care Medicine, the First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523121, People's Republic of China.
Bin WuRespiratory Diseases Research Institute, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001, People's Republic of China.ORCID 0000-0002-2305-1519
Weimin YaoDepartment of Respiratory and Critical Care Medicine, the First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523121, People's Republic of China.
Ruina HuangDepartment of Respiratory and Critical Care Medicine, the First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523121, People's Republic of China.ORCID 0009-0003-4028-7202
Guangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Chronic obstructive pulmonary disease (COPD), an incurable chronic respiratory disease, has become a major public health problem. The relationship between the composition of intestinal microbiota and the important clinical factors affecting COPD remains unclear. This study aimed to identify specific intestinal microbiota with high clinical diagnostic value for COPD. Methods: The fecal microbiota of patients with COPD and healthy individuals were analyzed by 16S rDNA sequencing. Random forest classification was performed to analyze the different intestinal microbiota. Spearman correlation was conducted to analyze the correlation between different intestinal microbiota and clinical characteristics. A microbiota-disease network diagram was constructed using the gut MDisorder database to identify the possible pathogenesis of intestinal microorganisms affecting COPD, screen for potential treatment, and guide future research. Results: No significant difference in biodiversity was shown between the two groups but significant differences in microbial community structure. Fifteen genera of bacteria with large abundance differences were identified, including Conclusion: The dominant intestinal microbiota with significant differences is related to the clinical characteristics of COPD, and the

Indexed as

AsthmaGastrointestinal MicrobiomeMicrobiotaPulmonary Disease, Chronic ObstructiveAnimalsCattleFecesHumans16S rDNA sequencingchronic obstructive pulmonary diseasegut-lung axisintestinal microbiotaLachnospira

Identifiers

PMID38596203
PMCPMC11003469
OpenAlexW4393989126

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.