Evidence map›Paper›PMID 30592902›Full record

ReviewAmerican journal of respiratory and critical care medicine2019

Chronic Obstructive Pulmonary Disease Biomarkers and Their Interpretation.

Robert A Stockley, David M G Halpin, Bartolome R Celli, Dave Singh

Registry-linked trialAbstract readComparative StudyReview
PubMed Publisher
In one paragraph

Review in American journal of respiratory and critical care medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04876833 (Characteristics of Intestinal Microbiome in the Progression of Early Chronic Obstructive Pulmonary Disease), which is not on this map. Cited by 92 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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.

NCT04876833 unknown statusnot on this mapstarted 2021, after this paper: background citation

Characteristics of Intestinal Microbiome in the Progression of Early Chronic Obstructive Pulmonary Disease

Typeobservational_patient_registrySponsorSecond Affiliated Hospital of Xi'an Jiaotong UniversityRan2021 to 2022Enrolled120ConditionsChronic Obstructive Pulmonary Disease
3 · Its place in the literature

Who cites it

92 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
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  7. Potential value streams of an integrated Canadian serosurveillance network.Canadian journal of public health = Revue canadienne de sante publique · 2026
    Article
  8. Article
  9. The Evolving Landscape of COPD Typization.Medicina (Kaunas, Lithuania) · 2026
    Review
  10. Review
  11. Article
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  15. Review
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  19. Article
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32 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Robert A Stockley1 Lung Investigation Unit, Medicine, University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom.
David M G Halpin2 Department of Respiratory Medicine, Royal Devon & Exeter Hospital, Exeter, United Kingdom.
Bartolome R Celli3 Pulmonary and Critical Care Department, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; and.
Dave Singh4 Medicines Evaluation Unit, University of Manchester, Manchester University NHS Foundation Hospital Trust, Manchester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pathology and impact of chronic obstructive pulmonary disease (COPD) results from an abnormal inflammatory process resulting in tissue damage with ineffective repair in response to toxic inhalants (especially cigarette smoke). Identification of mechanisms provides the opportunity to develop new therapies and a personalized approach to management. The collection of multiple genetic and detailed biochemical data from small and large patient cohorts has led to an explosion of studies investigating biomarkers to achieve these aims. Despite widespread enthusiasm and many statistically significant associations, the interpretation of COPD biomarker results requires thought and leaves many questions unanswered. The present review assesses the importance of these associations, whether they represent cause or effect, reflect disease severity or activity, the complexity of the pathway to the final pathogenic and hence interventional step, and problems with interpreting cross-sectional studies without knowing individual disease trajectories. The complexity of biomarker specificity without sufficient clinical phenotype and endotype information contributes to problems of interpretation. A strategic change is needed to develop useful COPD biomarkers; this includes focusing on endotype biomarkers within specific clinical phenotypes, biomarkers in early COPD, exacerbation subtype biomarkers, and biomarkers to predict or measure drug effects.

Indexed as

AdultAgedAged, 80 and overBiomarkersCross-Sectional StudiesFemaleHealthy VolunteersHumansLongitudinal StudiesMaleMiddle AgedPhenotypePulmonary Disease, Chronic ObstructiveBiomarkers

Identifiers

What OpenQuestion holds

Textmetadata
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.