Evidence map›Paper›PMID 40927634›Full record

ReviewInternational journal of chronic obstructive pulmonary disease2025

Prognostic Value of Biomarkers in Chronic Obstructive Pulmonary Disease: A Comprehensive Review.

Yunpeng Xu, Lei Zhang, Lei Zhu, Zi Yang, Xue Bai, Fanqi Wu, Cuifang He, Dan Zhang, Qingjuan Ai, Hong Guo and 1 more

Abstract readReview
In one paragraph

Review in International journal of chronic obstructive pulmonary disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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

13 citing papers in PubMed.

  1. Article
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  6. Article
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  9. Article
  10. Review
  11. Observational
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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

11 authors.

Yunpeng XuThe First Clinical Medical College of Lanzhou University, Lanzhou, People's Republic of China.ORCID 0009-0002-4693-0222
Lei ZhangThe First Clinical Medical College of Lanzhou University, Lanzhou, People's Republic of China.
Lei ZhuDepartment of ICU, the First Hospital of Lanzhou University, Lanzhou, People's Republic of China.
Zi YangInformation Center, The First Hospital of Lanzhou University, Lanzhou, People's Republic of China.
Xue BaiDepartment of Respiratory and Critical Care Medicine, The First Hospital of Lanzhou University, Lanzhou, People's Republic of China.
Fanqi WuDepartment of Respiratory and Critical Care Medicine, The Second Hospital of Lanzhou University, Lanzhou, People's Republic of China.ORCID 0000-0002-5267-2322
Cuifang HeThe First Clinical Medical College of Lanzhou University, Lanzhou, People's Republic of China.
Dan ZhangThe second Clinical Medical College of Lanzhou University, Lanzhou, People's Republic of China.
Qingjuan AiDepartment of ICU, the First Hospital of Lanzhou University, Lanzhou, People's Republic of China.
Hong GuoDepartment of ICU, Gansu Province Maternity and Child-Care Hospital (Gansu Provincial Central Hospital), Lanzhou, People's Republic of China.
Jian LiuThe First Clinical Medical College of Lanzhou University, Lanzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic Obstructive Pulmonary Disease (COPD) is a prevalent chronic respiratory disorder characterized by airway inflammation and irreversible airflow limitation. Its marked heterogeneity and complexity pose significant challenges to traditional clinical assessments in terms of prognostic prediction and personalized management. In recent years, the exploration of biomarkers has opened new avenues for the precise evaluation of COPD, particularly through multi-biomarker prediction models and integrative multimodal data strategies, which have substantially improved the accuracy and reliability of prognostic assessments. This review summarizes the key biomarkers associated with COPD prognosis, systematically discusses the practical applications and future potential of combined predictive models and multimodal data integration, and evaluates their translational value in clinical practice. As a narrative review, this study aims to provide a scientific foundation for the precision management of patients with COPD.

Indexed as

LungPulmonary Disease, Chronic ObstructiveBiomarkersHumansPredictive Value of TestsPrognosisReproducibility of ResultsRisk FactorsBiomarkersbiomarkerschronic obstructiveprognosis predictionpulmonary disease

Identifiers

PMID40927634
PMCPMC12416393

What OpenQuestion holds

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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.