Evidence map›Paper›PMID 25419124›Full record

Observational studyInternational journal of chronic obstructive pulmonary disease2014

Czech multicenter research database of severe COPD.

Barbora Novotna, Vladimir Koblizek, Jaromir Zatloukal, Marek Plutinsky, Karel Hejduk, Zuzana Zbozinkova, Jiri Jarkovsky, Ondrej Sobotik, Tomas Dvorak, Petr Safranek

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in International journal of chronic obstructive pulmonary disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01923051 (Czech Multicentre Research Database of Chronic Obstructive Pulmonary Disease), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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.

NCT01923051 unknown statusnot on this map

Czech Multicentre Research Database of Chronic Obstructive Pulmonary Disease (COPD): Registry of the Czech Pneumological Society (CPPS) at the Czech Medical Association (CzMA)

TypeobservationalSponsorZuzana Zbožínková, M.Sc.Ran2013 to 2021Enrolled813ConditionsChronic Obstructive Airway Disease
3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Observational
  6. Prognostic Properties of the GOLD 2023 Classification System.International journal of chronic obstructive pulmonary disease · 2023
    Article
  7. Article
  8. Observational
  9. Article
  10. Respiratory parameters predict poor outcome in COPD patients, category GOLD 2017 B.International journal of chronic obstructive pulmonary disease · 2018
    Article
  11. Observational
  12. Observational
  13. 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

10 authors.

Barbora NovotnaDepartment of Pneumology, University Hospital Hradec Kralove, Charles University in Prague, Faculty of Medicine in Hradec Kralove, Hradec Kralove, the Czech Republic.
Vladimir KoblizekDepartment of Pneumology, University Hospital Hradec Kralove, Charles University in Prague, Faculty of Medicine in Hradec Kralove, Hradec Kralove, the Czech Republic.
Jaromir ZatloukalDepartment of Pulmonology, University Hospital, Palacky University, Olomouc, the Czech Republic.
Marek PlutinskyDepartment of Pulmonology, University Hospital, Masaryk University, Brno, the Czech Republic.
Karel HejdukInstitute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, the Czech Republic.
Zuzana ZbozinkovaInstitute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, the Czech Republic.
Jiri JarkovskyInstitute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, the Czech Republic.
Ondrej SobotikDepartment of Pulmonology, University Hospital Motol, Charles University, Praha, the Czech Republic.
Tomas DvorakDepartment of Pulmonology, Hospital Bulovka, Praha, the Czech Republic.
Petr SafranekDepartment of Pulmonology, University Hospital, Charles University, Plzen, the Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeChronic obstructive pulmonary disease (COPD) has been recognized as a heterogeneous, multiple organ system-affecting disorder. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) places emphasis on symptom and exacerbation management. The aim of this study is examine the course of COPD and its impact on morbidity and all-cause mortality of patients, with respect to individual phenotypes and GOLD categories. This study will also evaluate COPD real-life patient care in the Czech Republic. PATIENTS AND

methodsThe Czech Multicentre Research Database of COPD is projected to last for 5 years, with the aim of enrolling 1,000 patients. This is a multicenter, observational, and prospective study of patients with severe COPD (post-bronchodilator forced expiratory volume in 1 second ≤ 60%). Every consecutive patient, who fulfils the inclusion criteria, is asked to participate in the study. Patient recruitment is done on the basis of signed informed consent. The study was approved by the Multicentre Ethical Committee in Brno, Czech Republic.

resultsThe objective of this paper was to outline the methodology of this study.

conclusionThe establishment of the database is a useful step in improving care for COPD subjects. Additionally, it will serve as a source of data elucidating the natural course of COPD, comorbidities, and overall impact on the patients. Moreover, it will provide information on the diverse course of the COPD syndrome in the Czech Republic.

Indexed as

Databases, FactualPulmonary Disease, Chronic ObstructiveComorbidityCzech RepublicDisease ProgressionHumansPhenotypePrognosisProspective StudiesQuality ImprovementQuality Indicators, Health CareResearch DesignRisk FactorsSeverity of Illness IndexTime Factorsall-cause mortalitycomorbiditiesexacerbationsphenotypesprospective study

Identifiers

PMID25419124
PMCPMC4235208

What OpenQuestion holds

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LicenceCC BY-NC
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.