Evidence mapPaperPMID 35330379Full record

ReviewJournal of personalized medicine2022

Incorporating Biomarkers in COPD Management: The Research Keeps Going.

Ioannis Pantazopoulos, Kalliopi Magounaki, Ourania Kotsiou, Erasmia Rouka, Fotis Perlikos, Sotirios Kakavas, Konstantinos Gourgoulianis

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 4 pooled it
6.1field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 4 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Definitions of early COPD and predictors for disease progression: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2026
    Pooled it
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  3. Predictors of Acute Exacerbations in COPD: A Systematic Review.International journal of chronic obstructive pulmonary disease · 2026
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  9. A Combined Bioinformatics and Clinical Validation Study IdentifiesInternational journal of molecular sciences · 2025
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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

7 authors at 4 institutions in 2 countries.

Ioannis PantazopoulosDepartment of Emergency Medicine, Faculty of Medicine, University of Thessaly, Biopolis, 41500 Larissa, Greece.ORCID 0000-0002-8846-519X
Kalliopi MagounakiMedical School, European University of Cyprus, Nicosia 2404, Cyprus.
Ourania KotsiouDepartment of Respiratory Medicine, Faculty of Medicine, University of Thessaly, Biopolis, 41500 Larissa, Greece.ORCID 0000-0001-5219-6971
Erasmia RoukaDepartment of Respiratory Medicine, Faculty of Medicine, University of Thessaly, Biopolis, 41500 Larissa, Greece.ORCID 0000-0003-2885-4510
Fotis PerlikosICU Department, Henry Dynant Hospital Center, 11526 Athens, Greece.ORCID 0000-0002-2579-6522
Sotirios KakavasCritical Care Department, "Sotiria" General Hospital of Chest Diseases, 11527 Athens, Greece.ORCID 0000-0003-0079-2477
Konstantinos GourgoulianisDepartment of Respiratory Medicine, Faculty of Medicine, University of Thessaly, Biopolis, 41500 Larissa, Greece.
University of Thessaly · GREuropean University Cyprus · CYHenry Dunant Hospital · GRSotiria General Hospital · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, chronic obstructive pulmonary disease (COPD) remains a major cause of morbidity and mortality, having a significant socioeconomic effect. Several molecular mechanisms have been related to COPD including chronic inflammation, telomere shortening, and epigenetic modifications. Nowadays, there is an increasing need for novel therapeutic approaches for the management of COPD. These treatment strategies should be based on finding the source of acute exacerbation of COPD episodes and estimating the patient's own risk. The use of biomarkers and the measurement of their levels in conjunction with COPD exacerbation risk and disease prognosis is considered an encouraging approach. Many types of COPD biomarkers have been identified which include blood protein biomarkers, cellular biomarkers, and protease enzymes. They have been isolated from different sources including peripheral blood, sputum, bronchoalveolar fluid, exhaled air, and genetic material. However, there is still not an exclusive biomarker that is used for the evaluation of COPD but rather a combination of them, and this is attributed to disease complexity. In this review, we summarize the clinical significance of COPD-related biomarkers, their association with disease outcomes, and COPD patients' management. Finally, we depict the various samples that are used for identifying and measuring these biomarkers.

Indexed as

biomarkerschronic obstructive pulmonary diseaseexacerbationslung agingoxidative stress

Identifiers

PMID35330379
PMCPMC8955907
OpenAlexW4214819580

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.