Evidence map›Paper›PMID 36326395›Full record

Observational studyTurkish journal of medical sciences2022

Chronic obstructive pulmonary disease phenotypes in Turkey: the COPET study-a national, multicenter cross-sectional observational study.

Esra Ertan Yazar, Burcu Arpınar Yiğitbaş, Can Öztürk, Mukadder Çalıkoğlu, Gazi Gülbaş, Muzaffer Onur Turan, Hülya Şahin, Nurhan Sarıoğlu, Nevin Taci Hoca, Fulsen Bozkuş and 11 more

Open access · bronzeAbstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Turkish journal of medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Observational
  2. Article
  3. Can the ADO Index Be Used as a Predictor of Mortality from COVID-19 in Patients with COPD?International journal of chronic obstructive pulmonary disease · 2024
    Observational
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

21 authors at 3 institutions in 1 country.

Esra Ertan YazarDepartment of Chest Diseases, Faculty of Medicine, İstanbul Medeniyet University, İstanbul, Turkey.
Burcu Arpınar YiğitbaşDepartment of Chest Diseases, Faculty of Medicine, İstanbul Medeniyet University, İstanbul, Turkey.
Can ÖztürkDepartment of Chest Diseases, Faculty of Medicine, Gazi University, Ankara, Turkey.
Mukadder ÇalıkoğluDepartment of Chest Diseases, Faculty of Medicine, Mersin University, Mersin, Turkey.
Gazi GülbaşDepartment of Chest Diseases, Faculty of Medicine, İnönü University, Malatya, Turkey.
Muzaffer Onur TuranDepartment of Chest Diseases, Faculty of Medicine, İzmir Katip Çelebi University, İzmir, Turkey.
Hülya ŞahinDepartment of Chest Diseases, Dr Suat Seren Chest Disease and Chest Surgery Research and Training Hospital, İzmir, Turkey.
Nurhan SarıoğluDepartment of Chest Diseases, Faculty of Medicine, Balıkesir University, Balıkesir, Turkey.
Nevin Taci HocaDepartment of Chest Diseases, Atatürk Chest Disease and Chest Surgery Research and Training Hospital, Ankara, Turkey.
Fulsen BozkuşDepartment of Chest Diseases, Faculty of Medicine, Kahramanmaraş Sütçü İmam University, Kahramanmaraş, Turkey.
Seda Tural ÖnürDepartment of Chest Diseases, Yedikule Chest Disease and Chest Surgery Research and Training Hospital, İstanbul, Turkey.
Nihal Arzu MiriciDepartment of Chest Diseases, Faculty of Medicine, Çanakkale On Sekiz Mart University, Çanakkale, Turkey.
Nalan OganDepartment of Chest Diseases, Faculty of Medicine, Ufuk University, Ankara, Turkey.
Nilgün Yılmaz DemirciDepartment of Chest Diseases, Faculty of Medicine, Gazi University, Ankara, Turkey.
Burcu YormazDepartment of Chest Diseases, Faculty of Medicine, Selçuk University, Konya, Turkey.
Ayperi ÖztürkDepartment of Chest Diseases, Atatürk Chest Disease and Chest Surgery Research and Training Hospital, Ankara, Turkey.
Filiz KoşarDepartment of Chest Diseases, Yedikule Chest Disease and Chest Surgery Research and Training Hospital, İstanbul, Turkey.
Evrim Eylem AkpınarDepartment of Chest Diseases, Faculty of Medicine, Ufuk University, Ankara, Turkey.
Gülşah GünlüoğluDepartment of Chest Diseases, Yedikule Chest Disease and Chest Surgery Research and Training Hospital, İstanbul, Turkey.
Burak MeteDepartment of Public Health, Faculty of Medicine, Çukurova University, Adana, Turkey.
Mecit SüerdemDepartment of Chest Diseases, Medical Park Hospital, İstanbul, Turkey.
Gazi University · TRSelçuk University · TRUfuk University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile mortality rates decrease in many chronic diseases, it continues to increase in COPD. This situation has led to the need to develop new approaches such as phenotypes in the management of COPD. We aimed to investigate the distribution, characteristics and treatment preference of COPD phenotypes in Turkey.

methodsThe study was designed as a national, multicenter, observational and cross-sectional. A total of 1141 stable COPD patients were included in the analysis.

resultsThe phenotype distribution was as follows: 55.7% nonexacerbators (NON-AE), 25.6% frequent exacerbators without chronic bronchitis (AE NON-CB), 13.9% frequent exacerbators with chronic bronchitis (AE-CB), and 4.8% with asthma and COPD overlap (ACO). The FEV1 values were significantly higher in the ACO and NON-AE than in the AE-CB and AE NON-CB (p < 0.001). The symptom scores, ADO (age, dyspnoea and FEV1 ) index and the rates of exacerbations were significantly higher in the AE-CB and AE NON-CB phenotypes than in the ACO and NON-AE phenotypes (p < 0.001). Treatment preference in patients with COPD was statistically different among the phenotypes (p < 0.001). Subgroup analysis was performed in terms of emphysema, chronic bronchitis and ACO phenotypes of 1107 patients who had thoracic computed tomography. A total of 202 patients had more than one phenotypic trait, and 149 patients showed no features of a specific phenotype. DISCUSSION: Most of the phenotype models have tried to classify the patient into a certain phenotype so far. However, we observed that some of the patients with COPD had two or more phenotypes together. Therefore, rather than determining which phenotype the patients are classified in, searching for the phenotypic traits of each patient may enable more effective and individualized treatment.

Indexed as

AsthmaBronchitis, ChronicPulmonary Disease, Chronic ObstructiveCross-Sectional StudiesDisease ProgressionHumansLungPhenotypeTurkeyACOchronic bronchitisCOPDemphysemaphenotype

Identifiers

PMID36326395
PMCPMC10388116
OpenAlexW4291498091

What OpenQuestion holds

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LicenceCC BY
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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.