Evidence map›Paper›PMID 35434072›Full record

ArticleWorld journal of clinical cases2022

Analysis of bacterial spectrum, activin A, and CD64 in chronic obstructive pulmonary disease patients complicated with pulmonary infections.

Zhao-Yang Fei, Jiang Wang, Jie Liang, Xue Zhou, Min Guo

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 56% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
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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

5 authors at 2 institutions in 1 country.

Zhao-Yang FeiExperimental Research Centre, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China. feizhaoyangwy@163.com.
Jiang WangExperimental Research Centre, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Jie LiangExperimental Research Centre, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Xue ZhouExperimental Research Centre, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Min GuoDepartment of Laboratory Medicine, Lianyungang Second People's Hospital, Lianyungang 222006, Jiangsu Province, China.
The Affiliated Yongchuan Hospital of Chongqing Medical University · CNThe First People’s Hospital of Lianyungang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary infections often lead to poor prognoses in patients with chronic obstructive pulmonary disease (COPD). Activin A and CD64 play crucial pathological roles in the development of COPD.

aimTo explore the bacterial spectrum

methodsBetween March 2015 and January 2018, a total of 85 patients with COPD, who also suffered from pulmonary infections, were enrolled in this study as the pulmonary infection group. In addition, a total of 96 COPD patients, without pulmonary infection, were selected as the control group. Sputum samples of patients in the pulmonary infection group were cultivated for bacterial identification prior to administration of antibiotics. The neutrophil CD64 index was measured using flow cytometry, serum activin A levels were detected

resultsGram-negative bacteria were identified in 57.65% of the sputum samples in the pulmonary infection group. The most prevalent Gram-negative species were

conclusionPulmonary infections in COPD patients are mainly caused by

Indexed as

Activin ACD64 indexChronic obstructive pulmonary diseaseInfection

Identifiers

PMID35434072
PMCPMC8968607
OpenAlexW4220941664

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.