Evidence map›Paper›PMID 22624038›Full record

Trial reportPloS one2012

Persistent systemic inflammation is associated with poor clinical outcomes in COPD: a novel phenotype.

Alvar Agustí, Lisa D Edwards, Stephen I Rennard, William MacNee, Ruth Tal-Singer, Bruce E Miller, Jørgen Vestbo, David A Lomas, Peter M A Calverley, Emiel Wouters and 8 more

2 registry-linked trialsOpen access · goldAbstract readClinical TrialComparative Study
In one paragraph

Trial report in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 373 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
373citing papers in PubMed, 3 pooled it
66.2field-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
NCT02633280 completednot on this mapstarted 2016, after this paper: background citation

A Predictive "Molecular Biology Signature" for Diagnosis and Treatment of Chronic Obstructive Pulmonary Disease

TypeobservationalSponsorUniversity of CatanzaroRan2016 to 2018Enrolled195ConditionsCOPD
3 · Its place in the literature

Who cites it

373 citing papers in PubMed, 3 syntheses or guidelines pooled it, 837 citations in OpenAlex.

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313 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

18 authors at 13 institutions in 7 countries.

Alvar AgustíThorax Institute, Hospital Clinic, Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona and Centro de investigación en red de enfermedades respiratorias (CIBERES), Barcelona, Spain. alvar.agusti@clinic.ub.es
Lisa D Edwards
Stephen I Rennard
William MacNee
Ruth Tal-Singer
Bruce E Miller
Jørgen Vestbo
David A Lomas
Peter M A Calverley
Emiel Wouters
Courtney Crim
Julie C Yates
Edwin K Silverman
Harvey O Coxson
Per Bakke
Ruth J Mayer
Bartolome Celli
Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) Investigators
GlaxoSmithKline (United States) · USResearch Triangle Park Foundation · USBrigham and Women's Hospital · USCentro de Investigación Biomédica en Red de Enfermedades Respiratorias · ESHarvard University · USMaastricht University · NLManchester Academic Health Science Centre · GBUniversity of Bergen · NOUniversity of British Columbia · CAUniversity of Cambridge · GBUniversity of Edinburgh · GBUniversity of Liverpool · GBUniversity of Nebraska Medical Center · US

Funding

Medical Research Council G0901697Medical Research Council G0901786
6 · The paper itself

Abstract

backgroundBecause chronic obstructive pulmonary disease (COPD) is a heterogeneous condition, the identification of specific clinical phenotypes is key to developing more effective therapies. To explore if the persistence of systemic inflammation is associated with poor clinical outcomes in COPD we assessed patients recruited to the well-characterized ECLIPSE cohort (NCT00292552). METHODS AND

findingsSix inflammatory biomarkers in peripheral blood (white blood cells (WBC) count and CRP, IL-6, IL-8, fibrinogen and TNF-α levels) were quantified in 1,755 COPD patients, 297 smokers with normal spirometry and 202 non-smoker controls that were followed-up for three years. We found that, at baseline, 30% of COPD patients did not show evidence of systemic inflammation whereas 16% had persistent systemic inflammation. Even though pulmonary abnormalities were similar in these two groups, persistently inflamed patients during follow-up had significantly increased all-cause mortality (13% vs. 2%, p<0.001) and exacerbation frequency (1.5 (1.5) vs. 0.9 (1.1) per year, p<0.001) compared to non-inflamed ones. As a descriptive study our results show associations but do not prove causality. Besides this, the inflammatory response is complex and we studied only a limited panel of biomarkers, albeit they are those investigated by the majority of previous studies and are often and easily measured in clinical practice.

conclusionsOverall, these results identify a novel systemic inflammatory COPD phenotype that may be the target of specific research and treatment.

Indexed as

PhenotypeBiomarkersCohort StudiesC-Reactive ProteinCross-Sectional StudiesFibrinogenHumansInterleukin-6Interleukin-8Leukocyte CountPulmonary Disease, Chronic ObstructiveSmokingSpirometrySurveys and QuestionnairesSystemic Inflammatory Response SyndromeTumor Necrosis Factor-alphaBiomarkersC-Reactive ProteinFibrinogenInterleukin-6Interleukin-8Tumor Necrosis Factor-alpha

Identifiers

PMID22624038
PMCPMC3356313
OpenAlexW2161713331

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.