Evidence map›Paper›PMID 37485051›Full record

Observational studyInternational journal of chronic obstructive pulmonary disease2023

Three-Month Variability of Commonly Evaluated Biomarkers in Clinically Stable COPD.

Seon Cheol Park, Narongkorn Saiphoklang, Jonathan Phillips, May-Lin Wilgus, Russell G Buhr, Donald P Tashkin, Christopher B Cooper, Igor Barjaktarevic

Open access · goldAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study 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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Impact of bronchitis variability on outcomes of COPD.BMJ open respiratory research · 2025
    Observational
  6. Article
  7. Is Disease Stability an Attainable Chronic Obstructive Pulmonary Disease Treatment Goal?American journal of respiratory and critical care medicine · 2025
    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

8 authors at 3 institutions in 3 countries.

Seon Cheol ParkDivision of Pulmonary and Critical Care Medicine, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-7926-1945
Narongkorn SaiphoklangDivision of Pulmonary and Critical Care Medicine, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.ORCID 0000-0003-2462-9471
Jonathan PhillipsInflammation Discovery Research, Amgen, Thousand Oaks, CA, USA.ORCID 0000-0002-9036-649X
May-Lin WilgusDivision of Pulmonary and Critical Care Medicine, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Russell G BuhrDivision of Pulmonary and Critical Care Medicine, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.ORCID 0000-0001-6159-7435
Donald P TashkinDivision of Pulmonary and Critical Care Medicine, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Christopher B CooperDivision of Pulmonary and Critical Care Medicine, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-6314-0903
Igor BarjaktarevicDivision of Pulmonary and Critical Care Medicine, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-8096-0858
University of California, Los Angeles · USAmgen (United States) · USThammasat University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Clinical decisions in chronic obstructive pulmonary disease (COPD) treatment often utilize serially assessed physiologic parameters and biomarkers. To better understand the reliability of these tests, we evaluated changes in commonly assessed biomarkers over 3 months in patients with clinically stable COPD. Methods: We performed an observational prospective cohort study of 89 individuals with clinically stable COPD, defined as no exacerbation history within 3 months of enrollment. Biomarkers included lung function and functional performance status, patient-reported outcomes of symptoms and health status, and blood markers of inflammation. The correlation between testing at baseline and at 3-month follow-up was reported as the intraclass correlation coefficient (ICC). "Outliers" had significant variability between tests, defined as >1.645 standard deviations between the two measurements. Differences in clinical features between outliers and others were compared. Results: Participants with COPD (n = 89) were 70.5 ± 6.7 years old, 54 (61%) male, had a 40 pack-year smoking history with 24.7% being current smokers, and postbronchodilator forced expiratory volume in one second (FEV Conclusion: Our study evaluated the stability of commonly assessed biomarkers in clinically stable COPD and showed excellent agreement between baseline and three-month follow-up values for FEV

Indexed as

Bronchitis, ChronicPulmonary Disease, Chronic ObstructiveAgedBiomarkersC-Reactive ProteinFemaleForced Expiratory VolumeHumansMaleProspective StudiesQuality of LifeReproducibility of ResultsBiomarkersC-Reactive ProteinbiomarkersCOPDrepeatabilitystabilityvariability

Identifiers

PMID37485051
PMCPMC10362903
OpenAlexW4384699976

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.