Evidence map›Paper›PMID 38845997›Full record

ArticleHeliyon2024

Comprehensive analysis of the gut microbiota in patients with chronic obstructive pulmonary disease of varying severity-A prospective, observational study.

Jiali Yan, Zhenhu Wu, Li Deng, Chunzhen Huang, Yuting Jing, Xiao-Yin Chen, Yinji Xu

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

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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.

Jiali YanGuangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, Guangdong Province, China.
Zhenhu WuGuangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, Guangdong Province, China.
Li DengSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, Guangdong, 510632, China.
Chunzhen HuangGuangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, Guangdong Province, China.
Yuting JingGuangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, Guangdong Province, China.
Xiao-Yin ChenSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, Guangdong, 510632, China.
Yinji XuGuangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating evidence has highlighted the influence of the gut microbiota on lung immunity. We examined the effects of changes in intestinal microecology on the development of Chronic Obstructive Pulmonary Disease (COPD) and identified microbial biomarkers for acute exacerbations of COPD (AECOPD). Fecal samples were collected from 30 patients with stable COPD, 30 patients with AECOPD, and 10 healthy individuals. Fecal microbiological profiles were analyzed using 16S rRNA gene sequencing. The results showed a distinct difference in the bacterial community composition between the AECOPD, COPD, and healthy control groups. The COPD and AECOPD groups had higher levels of Firmicutes but lower levels of Bacteroidetes compared to the healthy control group at the phylum level. At the genus level, there was an increased abundance of Lachnoclostridium, Alistipes, Streptococcus, and Prevotella in COPD and AECOPD patients. Increasing levels of Lachnoclostridium and Prevotella may indicate an acute exacerbation of COPD. This study identified specific microbial biomarkers associated with AECOPD and characterized the composition of gut microbiota in patients with AECOPD.

Indexed as

AECOPDChronic obstructive pulmonary diseaseGut microbiota

Identifiers

PMID38845997
PMCPMC11153110

What OpenQuestion holds

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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.