Evidence map›Paper›PMID 39815228›Full record

ArticleBMC pulmonary medicine2025

CAD-Q (COPD-Asthma Differentiation Questionnaire): Performance of a new diagnostic score to differentiate between COPD and asthma in adults.

Alejandra Lozano-Forero, Eduardo Tuta-Quintero, Alirio R Bastidas, Blanka Pacheco, Juan Cordero, Kamil Faizal, Miguel Molina, Irma Méndez, Andrés Cardona, Nicoll Navarro and 7 more

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Alejandra Lozano-ForeroMaster's Student in Epidemiology, Universidad de La Sabana, Chía, Colombia.
Eduardo Tuta-QuinteroSchool of Medicine, Universidad de La Sabana, Chía, Colombia.
Alirio R BastidasSchool of Medicine, Universidad de La Sabana, Chía, Colombia. alirio.bastidas@unisabana.edu.co.ORCID https://orcid.org/0000-0002-8873-9779
Blanka PachecoInternal Medicine, Universidad de La Sabana, Chía, Colombia.
Juan CorderoInternal Medicine, Universidad de La Sabana, Chía, Colombia.
Kamil FaizalSchool of Medicine, Universidad de La Sabana, Chía, Colombia.
Miguel MolinaSchool of Medicine, Universidad de La Sabana, Chía, Colombia.
Irma MéndezSchool of Medicine, Universidad de La Sabana, Chía, Colombia.
Andrés CardonaSchool of Medicine, Universidad de La Sabana, Chía, Colombia.
Nicoll NavarroSchool of Medicine, Universidad de La Sabana, Chía, Colombia.
Gabriela BonillaSchool of Medicine, Universidad de La Sabana, Chía, Colombia.
Manuela FrancoSchool of Medicine, Universidad de La Sabana, Chía, Colombia.
Juan SamboníSchool of Medicine, Universidad de La Sabana, Chía, Colombia.
Julio de La HozSchool of Medicine, Universidad de La Sabana, Chía, Colombia.
Georgina DoumatSchool of Medicine, Universidad de La Sabana, Chía, Colombia.
David PortillaSchool of Medicine, Universidad de La Sabana, Chía, Colombia.
Hannah EljachSchool of Medicine, Universidad de La Sabana, Chía, Colombia.

Funding

Universidad de La Sabana MED-263-2019
6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) and asthma are the two most prevalent chronic respiratory diseases, significantly impacting public health. Utilizing clinical questionnaires to identify and differentiate patients with COPD and asthma for further diagnostic procedures has emerged as an effective strategy to address this issue. We developed a new diagnostic tool, the COPD-Asthma Differentiation Questionnaire (CAD-Q), to differentiate between COPD and asthma in adults.

methodsA cross-sectional study with diagnostic test analysis was done. Relevant clinical variables for diagnosing COPD and asthma were identified through crude Odds Ratios (OR) and a logistic regression model provided adjusted ORs. The CAD-Q, including sensitivity, specificity, predictive values, likelihood ratios, and ROC-curve, was compared to the LFQ, CDQ, PUMA, "Could it be COPD," and COPD-PS questionnaires.

results235 (52.9%) patients had COPD and 209 (47.1%) had asthma. A score ≥ 20 on the CAD-Q questionnaire showed a ROC-curve of 70% (95% CI: 65-75; p < 0.001) with a sensitivity of 83.8% (95% CI: 81.1-86.6), specificity of 47.8% (95% CI: 44.1-51.6), positive predictive value of 37.8% (95% CI: 34.2-41.5), negative predictive value of 88.7% (95% CI: 86.3-91), LR + of 1.61 (95% CI: 1.447-1.786), LR - of 0.34 (95% CI: 0.304-0.376) for diagnosing COPD. When comparing CAD-Q with other questionnaires for differentiating COPD and asthma, CAD-Q and CDQ had the highest sensitivity (83.8% and 77.9%). PUMA and "Could it be COPD" had the highest specificity (62.7% and 62.6%). CAD-Q and COPD-PS showed the highest negative predictive values (88.7% and 62.1%). CAD-Q, LFQ, and CDQ had the highest a ROC-curve (70%, 66%, and 66%).

conclusionThe CAD-Q questionnaire effectively discriminated between COPD and asthma, outperforming previous tools. These findings support further research and refinement of diagnostic tools and call for validation in diverse clinical settings.

Indexed as

AsthmaPulmonary Disease, Chronic ObstructiveAdultAgedCross-Sectional StudiesDiagnosis, DifferentialFemaleHumansLogistic ModelsMaleMiddle AgedPredictive Value of TestsROC CurveSensitivity and SpecificitySurveys and QuestionnairesAsthmaCOPDDiagnostic accuracyPrimary careQuestionnaire

Identifiers

PMID39815228
PMCPMC11734519

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.