Evidence map›Paper›PMID 37408604›Full record

ReviewInternational journal of chronic obstructive pulmonary disease2023

Prognostic Biomarkers Based on Proteomic Technology in COPD: A Recent Review.

Hanyu Fang, Ying Liu, Qiwen Yang, Siyu Han, Hongchun Zhang

Abstract readReview
In one paragraph

Review in International journal of chronic obstructive pulmonary disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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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.

Hanyu Fang *Beijing University of Chinese Medicine, Beijing, 100029, People's Republic of China.
Ying Liu *The Second Health and Medical Department, China-Japan Friendship Hospital, Beijing, 100029, People's Republic of China.
Qiwen YangBeijing University of Chinese Medicine, Beijing, 100029, People's Republic of China.ORCID 0009-0008-9652-6950
Siyu HanBeijing University of Chinese Medicine, Beijing, 100029, People's Republic of China.
Hongchun ZhangBeijing University of Chinese Medicine, Beijing, 100029, 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 common heterogeneous respiratory disease which is characterized by persistent and incompletely reversible airflow limitation. Due to the heterogeneity and phenotypic complexity of COPD, traditional diagnostic methods provide limited information and pose a great challenge to clinical management. In recent years, with the development of omics technologies, proteomics, metabolomics, transcriptomics, etc., have been widely used in the study of COPD, providing great help to discover new biomarkers and elucidate the complex mechanisms of COPD. In this review, we summarize the prognostic biomarkers of COPD based on proteomic studies in recent years and evaluate their association with COPD prognosis. Finally, we present the prospects and challenges of COPD prognostic-related studies. This review is expected to provide cutting-edge evidence in prognostic evaluation of clinical patients with COPD and to inform future proteomic studies on prognostic biomarkers of COPD.

Indexed as

Pulmonary Disease, Chronic ObstructiveBiomarkersHumansLungPrognosisProteomicsBiomarkersbiomarkerchronic obstructive pulmonary diseaseomicsprognosisproteome

Identifiers

PMID37408604
PMCPMC10319291

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.