Evidence map›Paper›PMID 25472887›Full record

ReviewJournal of translational medicine2014

Chronic Obstructive Pulmonary Disease heterogeneity: challenges for health risk assessment, stratification and management.

Josep Roca, Claudia Vargas, Isaac Cano, Vitaly Selivanov, Esther Barreiro, Dieter Maier, Francesco Falciani, Peter Wagner, Marta Cascante, Judith Garcia-Aymerich and 7 more

Open access · goldAbstract readReview
In one paragraph

Review in Journal of translational medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

25 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Nonlinear Association Between Monocyte-to-HDL Ratio and Mortality in COPD: Evidence from NHANES.International journal of chronic obstructive pulmonary disease · 2025
    Article
  4. Review
  5. Article
  6. Article
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  9. Skeletal muscle mitochondrial adaptations induced by long-term cigarette smoke exposure.American journal of physiology. Endocrinology and metabolism · 2021
    Article
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  11. Article
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  13. Article
  14. Article
  15. Review
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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

17 authors at 8 institutions in 5 countries.

Josep Roca
Claudia Vargas
Isaac Cano
Vitaly Selivanov
Esther Barreiro
Dieter Maier
Francesco Falciani
Peter Wagner
Marta Cascante
Judith Garcia-Aymerich
Susana Kalko
Igor De Mas
Jesper Tegnér
Joan Escarrabill
Alvar Agustí
David Gomez-Cabrero
Synergy-COPD consortium
Hospital Clínic de Barcelona · ESCentro de Investigación Biomédica en Red de Enfermedades Respiratorias · ESConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESKarolinska University Hospital · SEBiomax Informatics (Germany) · DECenter for Research in Environmental Epidemiology · ESUniversity of California, San Diego · USUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and hypothesisHeterogeneity in clinical manifestations and disease progression in Chronic Obstructive Pulmonary Disease (COPD) lead to consequences for patient health risk assessment, stratification and management. Implicit with the classical "spill over" hypothesis is that COPD heterogeneity is driven by the pulmonary events of the disease. Alternatively, we hypothesized that COPD heterogeneities result from the interplay of mechanisms governing three conceptually different phenomena: 1) pulmonary disease, 2) systemic effects of COPD and 3) co-morbidity clustering, each of them with their own dynamics. OBJECTIVE AND

methodTo explore the potential of a systems analysis of COPD heterogeneity focused on skeletal muscle dysfunction and on co-morbidity clustering aiming at generating predictive modeling with impact on patient management. To this end, strategies combining deterministic modeling and network medicine analyses of the Biobridge dataset were used to investigate the mechanisms of skeletal muscle dysfunction. An independent data driven analysis of co-morbidity clustering examining associated genes and pathways was performed using a large dataset (ICD9-CM data from Medicare, 13 million people). Finally, a targeted network analysis using the outcomes of the two approaches (skeletal muscle dysfunction and co-morbidity clustering) explored shared pathways between these phenomena.

results(1) Evidence of abnormal regulation of skeletal muscle bioenergetics and skeletal muscle remodeling showing a significant association with nitroso-redox disequilibrium was observed in COPD; (2) COPD patients presented higher risk for co-morbidity clustering than non-COPD patients increasing with ageing; and, (3) the on-going targeted network analyses suggests shared pathways between skeletal muscle dysfunction and co-morbidity clustering.

conclusionsThe results indicate the high potential of a systems approach to address COPD heterogeneity. Significant knowledge gaps were identified that are relevant to shape strategies aiming at fostering 4P Medicine for patients with COPD.

Indexed as

Cluster AnalysisComorbidityCytokinesDecision Support Systems, ClinicalGene Expression ProfilingHumansLung DiseasesLung InjuryMuscle, SkeletalOxidation-ReductionOxidative StressOxygenOxygen ConsumptionPulmonary Disease, Chronic ObstructiveRisk AssessmentTreatment OutcomeCytokinesOxygen

Identifiers

PMID25472887
PMCPMC4255905
OpenAlexW2143923504

What OpenQuestion 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 OpenQuestion graph.