Evidence map›Paper›PMID 34955637›Full record

ArticleInternational journal of chronic obstructive pulmonary disease

Associations of Clinical Characteristics and Intestinal Flora Imbalance in Stable Chronic Obstructive Pulmonary Disease (COPD) Patients and the Construction of an Early Warning Model.

Xuetao Zeng, Hongfeng Yang, Yan Yang, Xinnan Gu, Xiuqin Ma, Taofeng Zhu

Open access · goldAbstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Xuetao Zeng *Department of Respiratory and Critical Medicine, The Affiliated Yixing Hospital of Jiangsu University, Yixing, Jiangsu, People's Republic of China.
Hongfeng Yang *Department of Critical Medicine,The Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, People's Republic of China.
Yan YangDepartment of Respiratory and Critical Medicine, The Affiliated Yixing Hospital of Jiangsu University, Yixing, Jiangsu, People's Republic of China.
Xinnan GuDepartment of Respiratory and Critical Medicine, The Affiliated Yixing Hospital of Jiangsu University, Yixing, Jiangsu, People's Republic of China.
Xiuqin MaDepartment of Respiratory and Critical Medicine, The Affiliated Yixing Hospital of Jiangsu University, Yixing, Jiangsu, People's Republic of China.
Taofeng ZhuDepartment of Respiratory and Critical Medicine, The Affiliated Yixing Hospital of Jiangsu University, Yixing, Jiangsu, People's Republic of China.
Jiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEstablish a simple predictive model and scoring rule that is suitable for clinical medical staff in respiratory departments to assess intestinal flora imbalance occurrence in stable chronic obstructive pulmonary disease (COPD) patients.

methodsFrom January 1, 2019, to December 31, 2020, COPD patients (195 cases) - who attended the Outpatient Department, Respiratory and Critical Care, Yixing Hospital, Jiangsu University - were enrolled in a cross-sectional study. Based on stool examination results, patients were divided into experimental (41 cases) and control (154 cases) groups. Single-factor and logistic regression analyses were performed with the baseline data of the two groups to obtain a new predictive model, which was further simplified.

resultsFive predictive factors composed the model: body mass index (BMI), serum albumin (ALB), Charlson's Comorbidity Index (CCI), gastrointestinal symptom score (GSRs), and Global Initiative for Chronic Obstructive Lung Disease (GOLD) classification. The model to predict intestinal flora imbalance in stable COPD patients had an area under the ROC curve (AUC) of 0.953 [95% CI (0.924, 0.982)]. After simplifying the scoring rules, the AUC was 0.767 [95% CI (0.676, 0.858)].

conclusionIn the current study, we obtained a model that could effectively predict intestinal flora imbalance risk in stable COPD patients, being suitable for implementation in early treatments to improve the prognosis. Moreover, all indicators can be easily and simply obtained.

Indexed as

Gastrointestinal MicrobiomePulmonary Disease, Chronic ObstructiveArea Under CurveCross-Sectional StudiesHumansPrognosischronic obstructionearly warning scoreflora imbalancegastrointestinal tractlung diseasepredictive model

Identifiers

PMID34955637
PMCPMC8694711
OpenAlexW4200496070

What OpenQuestion holds

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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 OpenQuestion graph.