Evidence map›Paper›PMID 40677416›Full record

ArticleChinese medical journal pulmonary and critical care medicine2025

Clinical characteristics of patients with positive fungal pathogens during acute exacerbation of chronic obstructive pulmonary disease: A retrospective study.

Lijuan Luo, Lijun Liu, Yiming Ma, Herui Li, Zihang Zeng, Yan Chen

Abstract read
In one paragraph

Article in Chinese medical journal pulmonary and critical care medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Association betweenFrontiers in immunology · 2026
    Article
  4. Article
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  6. 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

6 authors.

Lijuan LuoDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.
Lijun LiuDepartment of Respiratory Medicine, Shaodong People's Hospital, Shaodong, Hunan 422800, China.
Yiming MaDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.
Herui LiDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.
Zihang ZengDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.
Yan ChenDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fungal infections in acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients are poorly understood and often result in a poor prognosis. This study aimed to investigate the distribution of common fungi and the clinical features of AECOPD patients positive for fungal pathogens. Methods: Data were collected from inpatients with AECOPD at the Second Xiangya Hospital of Central South University from January 2016 to December 2019. The enrolled patients were divided into an infection group and a colonization group, and clinical data were compared between the two groups. A 1:1 propensity score matching (PSM) process was employed to ensure balanced samples to analyze the impact of positive fungal pathogens on the clinical features of AECOPD patients. The incidence of acute exacerbations one year after discharge was determined via telephone follow-up. Results: The most frequently isolated fungal pathogen was Conclusion:

Indexed as

Chronic obstructive pulmonary diseaseColonizationFungal pathogenInfectionRisk factor

Identifiers

PMID40677416
PMCPMC12266253

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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.