Evidence map›Paper›PMID 35164762›Full record

Observational studyRespiratory research2022

COPD profiles and treatable traits using minimal resources: identification, decision tree and stability over time.

Alda Marques, Sara Souto-Miranda, Ana Machado, Ana Oliveira, Cristina Jácome, Joana Cruz, Vera Enes, Vera Afreixo, Vitória Martins, Lília Andrade and 5 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Respiratory research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Can Treatable Traits Be the Approach to Addressing the Complexity and Heterogeneity of COPD?International journal of chronic obstructive pulmonary disease · 2023
    Trial
  2. Review
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Article
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  10. RETRO-POPE: A Retrospective, Multicenter, Real-World Study of All-Cause Mortality in COPD.International journal of chronic obstructive pulmonary disease · 2023
    Article
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  12. Review
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

15 authors at 7 institutions in 2 countries.

Alda MarquesLab3R - Respiratory Research and Rehabilitation Laboratory, School of Health Sciences, University of Aveiro (ESSUA), Agras do Crasto - Campus Universitário de Santiago, Edifício 30, 3810-193, Aveiro, Portugal. amarques@ua.pt.
Sara Souto-MirandaLab3R - Respiratory Research and Rehabilitation Laboratory, School of Health Sciences, University of Aveiro (ESSUA), Agras do Crasto - Campus Universitário de Santiago, Edifício 30, 3810-193, Aveiro, Portugal.
Ana MachadoLab3R - Respiratory Research and Rehabilitation Laboratory, School of Health Sciences, University of Aveiro (ESSUA), Agras do Crasto - Campus Universitário de Santiago, Edifício 30, 3810-193, Aveiro, Portugal.
Ana OliveiraLab3R - Respiratory Research and Rehabilitation Laboratory, School of Health Sciences, University of Aveiro (ESSUA), Agras do Crasto - Campus Universitário de Santiago, Edifício 30, 3810-193, Aveiro, Portugal.
Cristina JácomeCenter for Health Technology and Services Research (CINTESIS) and Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Porto, Portugal.
Joana CruzCentre for Innovative Care and Health Technology (ciTechCare), Polytechnic of Leiria, Leiria, Portugal.
Vera EnesiBiMED - Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Agras do Crasto - Campus Universitário de Santiago, Edifício 30, 3810-193, Aveiro, Portugal.
Vera AfreixoCenter for Research & Development in Mathematics and Applications (CIDMA), University of Aveiro, Aveiro, Portugal.
Vitória MartinsPulmonology Department, Hospital Distrital Figueira Foz, Figueira da Foz, Portugal.
Lília AndradePulmonology Department, Centro Hospitalar do Baixo Vouga, Aveiro, Portugal.
Carla ValentePulmonology Department, Centro Hospitalar do Baixo Vouga, Aveiro, Portugal.
Diva FerreiraPulmonology Department, Centro Hospitalar do Médio Ave, Famalicão, Portugal.
Paula SimãoPulmonology Department, Unidade Local de Saúde de Matosinhos, Matosinhos, Portugal.
Dina BrooksSchool of Rehabilitation Science, McMaster University, Hamilton, Canada.
Ana Helena TavaresLab3R - Respiratory Research and Rehabilitation Laboratory, School of Health Sciences, University of Aveiro (ESSUA), Agras do Crasto - Campus Universitário de Santiago, Edifício 30, 3810-193, Aveiro, Portugal.
University of Aveiro · PTCentro Hospitalar do Baixo Vouga · PTAdministração Regional de Saúde de Lisboa e Vale do Tejo · PTCentro Hospitalar do Porto · PTInstituto Politécnico de Leiria · PTMcMaster University · CAUniversidade do Porto · PT

Funding

Fundação para a Ciência e a Tecnologia PTDC/SAU-SER/28806/2017Fundação para a Ciência e Tecnologia PTDC/DTP-PIC/2284/2014
6 · The paper itself

Abstract

BACKGROUND AND

objectiveProfiles of people with chronic obstructive pulmonary disease (COPD) often do not describe treatable traits, lack validation and/or their stability over time is unknown. We aimed to identify COPD profiles and their treatable traits based on simple and meaningful measures; to develop and validate a decision tree and to explore profile stability over time.

methodsAn observational, prospective study was conducted. Clinical characteristics, lung function, symptoms, impact of the disease (COPD Assessment Test-CAT), health-related quality of life, physical activity, lower-limb muscle strength and functional status were collected cross-sectionally and a subsample was followed-up monthly over six months. A principal component analysis and a clustering procedure with k-medoids were applied to identify profiles. A decision tree was developed and validated cross-sectionally. Stability was explored over time with the ratio between the number of timepoints that a participant was classified in the same profile and the total number of timepoints (i.e., 6).

results352 people with COPD (67.4 ± 9.9 years; 78.1% male; FEV

conclusionFour profiles and treatable traits were identified with simple and meaningful measures possibly available in low-resource settings. A decision tree with three commonly used variables in the routine assessment of people with COPD is now available for quick allocation to the identified profiles in clinical practice. Profiles and treatable traits may change over time in people with COPD hence, regular assessments to deliver goal-targeted personalised treatments are needed.

Indexed as

Decision TreesDisease ManagementQuality of LifeAgedCross-Sectional StudiesDisease ProgressionExerciseFemaleHealth ResourcesHumansMaleMiddle AgedPhenotypePortugalProspective StudiesPulmonary Disease, Chronic ObstructiveCluster analysisCOPDDecision treesPhenotypeTreatable traits

Identifiers

PMID35164762
PMCPMC8842856
OpenAlexW4212827403

What Socratic 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 Socratic graph.