Evidence map›Paper›PMID 24781789›Full record

ReviewMolecular diagnosis & therapy2014

Defining phenotypes in COPD: an aid to personalized healthcare.

Andrea Segreti, Emanuele Stirpe, Paola Rogliani, Mario Cazzola

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Molecular diagnosis & therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
7.5field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Influence of N-acetylcysteine on chronic bronchitis or COPD exacerbations: a meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2015
    Pooled it
  2. Single-Breath Simultaneous Measurement of DLInternational journal of chronic obstructive pulmonary disease · 2024
    Observational
  3. Emerging Anti-Inflammatory COPD Treatments: Potential Cardiovascular Impacts.International journal of chronic obstructive pulmonary disease · 2024
    Review
  4. Novel Anti-Inflammatory Approaches to COPD.International journal of chronic obstructive pulmonary disease · 2023
    Review
  5. Article
  6. Review
  7. Article
  8. Observational
  9. Article
  10. Use of clinical characteristics to predict spirometric classification of obstructive lung disease.International journal of chronic obstructive pulmonary disease · 2018
    Article
  11. Observational
  12. The Challenges of Precision Medicine in COPD.Molecular diagnosis & therapy · 2017
    Article
  13. Article
  14. Dual bronchodilation and exacerbations of COPD.Journal of thoracic disease · 2016
    Article
  15. Review
  16. Airflow obstruction: is it asthma or is it COPD?International journal of chronic obstructive pulmonary disease · 2016
    Review
  17. Article
  18. Article
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

4 authors at 1 institution in 1 country.

Andrea SegretiUnit of Respiratory Medicine, Department of System Medicine, University of Rome Tor Vergata, via Montpellier 1, 00131, Rome, Italy.
Emanuele Stirpe
Paola Rogliani
Mario Cazzola
University of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of chronic obstructive pulmonary disease (COPD) is based on a post-bronchodilator fixed forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC) <70 % ratio and the presence of symptoms such as shortness of breath and productive cough. Despite the simplicity in making a diagnosis of COPD, this morbid condition is very heterogeneous, and at least three different phenotypes can be recognized: the exacerbator, the emphysema-hyperinflation and the overlap COPD-asthma. These subgroups show different clinical and radiological features. It has been speculated that there is an enormous variability in the response to drugs among the COPD phenotypes, and it is expected that subjects with the same phenotype will have a similar response to each specific treatment. We believe that phenotyping COPD patients would be very useful to predict the response to a treatment and the progression of the disease. This personalized approach allows identification of the right treatment for each COPD patient, and at the same time, leads to improvement in the effectiveness of therapies, avoidance of treatments not indicated, and reduction in the onset of adverse effects. The objective of the present review is to report the current knowledge about different COPD phenotypes, focusing on specific treatments for each subgroup. However, at present, COPD phenotypes have not been studied by randomized clinical trials and therefore we hope that well designed studies will focus on this topic.

Indexed as

HumansPhenotypePrecision MedicinePulmonary Disease, Chronic Obstructive

Identifiers

PMID24781789
OpenAlexW2069908728

What OpenQuestion holds

Textmetadata
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.