Evidence map›Paper›PMID 26028643›Full record

ArticleEuropean respiratory review : an official journal of the European Respiratory Society2015

Development of a simple binary response questionnaire to identify airflow obstruction in a smoking population in Argentina.

Miguel A Bergna, Gabriel R García, Ramon Alchapar, Hector Altieri, Juan C Figueroa Casas, Luis Larrateguy, Luis J Nannini, Daniel Pascansky, Pedro Grabre, Gustavo Zabert and 1 more

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in European respiratory review : an official journal of the European Respiratory Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03713931 (BUSQUEDA ACTIVA DE CASOS DE EPOC EN EL PRIMER NIVEL DE ATENCION), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT03713931 unknown statusnot on this mapstarted 2018, after this paper: background citation

Busqueda activa de casos de epoc en el primer nivel de atencion: uso del score puma para tamizaje de epoc

Typeobservational_patient_registrySponsorGustavo Zabert, MDRan2018 to 2019Enrolled1,000ConditionsAdult, Risk Factors, Primary Care, COPDArmsPUMA Score questionnaire
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Association between chronic obstructive pulmonary disease and biomass smoke in rural areas.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2022
    Article
  2. Article
  3. 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

11 authors.

Miguel A BergnaImmunology and Obstructive Diseases Division, Argentine Respiratory Medicine Association, Buenos Aires, Argentina.
Gabriel R GarcíaImmunology and Obstructive Diseases Division, Argentine Respiratory Medicine Association, Buenos Aires, Argentina cenasma@gmail.com.
Ramon AlchaparImmunology and Obstructive Diseases Division, Argentine Respiratory Medicine Association, Buenos Aires, Argentina.
Hector AltieriImmunology and Obstructive Diseases Division, Argentine Respiratory Medicine Association, Buenos Aires, Argentina.
Juan C Figueroa CasasImmunology and Obstructive Diseases Division, Argentine Respiratory Medicine Association, Buenos Aires, Argentina.
Luis LarrateguyImmunology and Obstructive Diseases Division, Argentine Respiratory Medicine Association, Buenos Aires, Argentina.
Luis J NanniniImmunology and Obstructive Diseases Division, Argentine Respiratory Medicine Association, Buenos Aires, Argentina.
Daniel PascanskyImmunology and Obstructive Diseases Division, Argentine Respiratory Medicine Association, Buenos Aires, Argentina.
Pedro GrabreImmunology and Obstructive Diseases Division, Argentine Respiratory Medicine Association, Buenos Aires, Argentina.
Gustavo ZabertImmunology and Obstructive Diseases Division, Argentine Respiratory Medicine Association, Buenos Aires, Argentina.
Marc MiravitllesPneumology Dept, Hospital Universitari Vall d'Hebron, CIBER de Enfermedades Respiratorias (CIBERES), Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The CODE questionnaire (COPD detection questionnaire), a simple, binary response scale (yes/no), screening questionnaire, was developed for the identification of patients with chronic obstructive pulmonary disease (COPD). We conducted a survey of 468 subjects with a smoking history in 10 public hospitals in Argentina. Patients with a previous diagnosis of COPD, asthma and other respiratory illness were excluded. Items that measured conceptual domains in terms of characteristics of symptoms, smoking history and demographics data were considered. 96 (20.5%) subjects had a diagnosis of COPD according to the 2010 Global Initiative for Chronic Obstructive Lung Disease strategy document. The variables selected for the final questionnaire were based on univariate and multivariate analyses and clinical criteria. Finally, we selected the presence or absence of six variables (age ≥50 years, smoking history ≥30 pack-years, male sex, chronic cough, chronic phlegm and dyspnoea). Of patients without any of these six variables (0 points), none had COPD. The ability of the CODE questionnaire to discriminate between subjects with and without COPD was good (the area under the receiver operating characteristic curve was 0.75). Higher scores were associated with a greater probability of COPD. The CODE questionnaire is a brief, accurate questionnaire that can identify smoking individuals likely to have COPD.

Indexed as

Surveys and QuestionnairesAdultAirway ObstructionArea Under CurveArgentinaChi-Square DistributionFemaleHealth SurveysHospitals, PublicHumansLogistic ModelsLungMaleMiddle AgedMultivariate AnalysisOdds Ratio

Identifiers

PMID26028643
PMCPMC9487816

What OpenQuestion holds

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LicenceCC BY-NC
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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.