Evidence map›Paper›PMID 22054035›Full record

Trial reportRespiratory research2011

COPD association and repeatability of blood biomarkers in the ECLIPSE cohort.

Jennifer A Dickens, Bruce E Miller, Lisa D Edwards, Edwin K Silverman, David A Lomas, Ruth Tal-Singer, Evaluation of COPD Longitudinally to Identify Surrogate Endpoints (ECLIPSE) study investigators

Registry-linked trialOpen access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Respiratory research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00292552 (A Multicentre 3 Year Longitudinal Prospective Study to Identify Novel Endpoints and Compare These With Forced Expiratory Volume in 1 Second), which is not on this map. Cited by 72 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 2 pooled it
14.2field-weighted citation impact, top 1% 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.

NCT00292552 completednot on this map

A Multicentre 3 Year Longitudinal Prospective Study to Identify Novel Endpoints and Compare These With Forced Expiratory Volume in 1 Second (FEV1) for Their Ability to Measure and Predict COPD Severity and Its Progression Over Time

TypeobservationalSponsorGlaxoSmithKlineRan2005 to 2010Enrolled2,747ConditionsPulmonary Disease, Chronic ObstructiveArmsNovel endpoint determination
3 · Its place in the literature

Who cites it

72 citing papers in PubMed, 2 syntheses or guidelines pooled it, 165 citations in OpenAlex.

  1. Pooled it
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  6. Biomarkers Predictive of Exacerbations in the SPIROMICS and COPDGene Cohorts.American journal of respiratory and critical care medicine · 2017
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  20. Three-Month Variability of Commonly Evaluated Biomarkers in Clinically Stable COPD.International journal of chronic obstructive pulmonary disease · 2023
    Observational

12 more citing papers are in PubMed but not listed here.

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 3 countries.

Jennifer A DickensDepartment of Medicine, University of Cambridge, Cambridge Institute for Medical Research, Cambridge, UK.
Bruce E Miller
Lisa D Edwards
Edwin K Silverman
David A Lomas
Ruth Tal-Singer
Evaluation of COPD Longitudinally to Identify Surrogate Endpoints (ECLIPSE) study investigators
GlaxoSmithKline (United States) · USUniversity of Cambridge · GBBrigham and Women's Hospital · USGlaxoSmithKline (Netherlands) · NL

Funding

Medical Research Council G0901786
6 · The paper itself

Abstract

backgroundThere is a need for biomarkers to better characterise individuals with COPD and to aid with the development of therapeutic interventions. A panel of putative blood biomarkers was assessed in a subgroup of the Evaluation of COPD Longitudinally to Identify Surrogate Endpoints (ECLIPSE) cohort.

methodsThirty-four blood biomarkers were assessed in 201 subjects with COPD, 37 ex-smoker controls with normal lung function and 37 healthy non-smokers selected from the ECLIPSE cohort. Biomarker repeatability was assessed using baseline and 3-month samples. Intergroup comparisons were made using analysis of variance, repeatability was assessed through Bland-Altman plots, and correlations between biomarkers and clinical characteristics were assessed using Spearman correlation coefficients.

resultsFifteen biomarkers were significantly different in individuals with COPD when compared to former or non-smoker controls. Some biomarkers, including tumor necrosis factor-α and interferon-γ, were measurable in only a minority of subjects whilst others such as C-reactive protein showed wide variability over the 3-month replication period. Fibrinogen was the most repeatable biomarker and exhibited a weak correlation with 6-minute walk distance, exacerbation rate, BODE index and MRC dyspnoea score in COPD subjects. 33% (66/201) of the COPD subjects reported at least 1 exacerbation over the 3 month study with 18% (36/201) reporting the exacerbation within 30 days of the 3-month visit. CRP, fibrinogen interleukin-6 and surfactant protein-D were significantly elevated in those COPD subjects with exacerbations within 30 days of the 3-month visit compared with those individuals that did not exacerbate or whose exacerbations had resolved.

conclusionsOnly a few of the biomarkers assessed may be useful in diagnosis or management of COPD where the diagnosis is based on airflow obstruction (GOLD). Further analysis of more promising biomarkers may reveal utility in subsets of patients. Fibrinogen in particular has emerged as a potentially useful biomarker from this cohort and requires further investigation.

trial registrationSCO104960, clinicaltrials.gov identifier NCT00292552.

Indexed as

AdultAgedBiomarkersCohort StudiesCytokinesFemaleHumansMaleMiddle AgedPrevalencePulmonary Disease, Chronic ObstructiveReproducibility of ResultsSensitivity and SpecificityUnited StatesBiomarkersCytokines

Identifiers

PMID22054035
PMCPMC3247194
OpenAlexW2121676520

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.