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Enregistrement W4415915486 · doi:10.1002/resp.70155

Early Diagnosis of <scp>COPD</scp> —How Can we Do Better?

2025· article· en· W4415915486 sur OpenAlexaffabout
Shawn D. Aaron

Notice bibliographique

RevueRespirology · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Obstructive Pulmonary Disease (COPD) Research
Établissements canadiensOttawa Hospital
Organismes subventionnairesnon disponible
Mots-clésCOPDSpirometryDiseaseClinical PracticeDiagnostic testHealth careMEDLINEPulmonary disease

Résumé

récupéré en direct d'OpenAlex

Undiagnosed COPD is a major global health problem. Studies from across the world suggest that as many as 70% of adults with COPD remain undiagnosed [1]. A collaborative study assessed the prevalence of undiagnosed COPD in 27 countries and found COPD in 2995 of 30,874 adult participants (9.7%); of these 81.4% of cases were undiagnosed [2]. The myriad reasons for under-diagnosis of COPD are highlighted in Table 1. Our current healthcare system generally fails many patients with COPD, since most remain undiagnosed until they develop moderate or severe airflow obstruction, and generally they present with significant disability, or an acute exacerbation, at the time of first diagnosis [3]. Consequently, most patients diagnosed with COPD in clinical practice are only recognised when their disease is already relatively advanced, and therapy is less effective. As has been shown for lung cancer detection in at-risk subjects [4], screening or case-finding are potential strategies to dramatically change the paradigm and identify patients earlier. Early diagnosis of COPD can be potentially achieved by case-finding. Case-finding involves assessment of at-risk individuals who present with unexplained respiratory symptoms. Case-finding uses symptom questionnaires and may also make use of peak expiratory flow monitors or micro-spirometers, to identify symptomatic individuals, or people at particularly high risk for COPD, who would benefit from diagnostic spirometry [5]. Case-finding facilitates earlier identification of disease and can allow clinicians to direct non-pharmacologic and pharmacologic treatments to these individuals. How should we try to find individuals with undiagnosed COPD? One obvious approach would be to try to find them in primary care practices. There are several potential problems with this approach. Studies of patients with undiagnosed COPD and asthma suggest that many individuals with undiagnosed COPD tend to discount their symptoms, and they do not complain to their primary care practitioners about their respiratory symptoms [6]. Similarly, many individuals with undiagnosed COPD do not have family doctors, or they may see their family doctors very infrequently, and these individuals may be missed if case-finding is confined to primary care practices [6]. A recent cluster-randomised clinical trial tried to operationalise COPD case-finding in primary care offices using the CAPTURE case-finding tool [7]. Unfortunately, the study found that the use of the CAPTURE tool in primary care did not influence practitioners to order more spirometry, or make more diagnoses of COPD, compared to usual care. Furthermore, patients within the primary care practices randomised to the CAPTURE intervention did not report better health status, or experience fewer urgent visits for respiratory illness, compared to those within practices randomised to usual care. The investigators of the CAPTURE study pointed out that the results of the CAPTURE questionnaire were shared with clinical staff after the completion of the patient visit, and that the majority of patient visits were for reasons unrelated to respiratory illness [7]. In this context, it is not surprising that busy primary care practitioners therefore failed to act on the results of the CAPTURE questionnaire. Another approach to find individuals with undiagnosed COPD is to find them within their homes and communities. The Undiagnosed COPD and Asthma in the Population (UCAP) Study was a multicenter, study that randomly dialed cellphones and landlines across Canada and telephone interviewed almost 27,000 adults with symptoms of respiratory disease using case-finding questionnaires [8]. After exclusion of many people who had pre-existing diagnosed lung disease, the investigators conducted pre and post-BD spirometry in 2857 individuals who had no prior history of diagnosed lung disease. Of the 2857 individuals who underwent spirometry, 595 (21%) were found to have undiagnosed asthma or COPD. Over a one-year follow-up period, individuals with undiagnosed asthma or COPD who were randomised to guideline-based care by a pulmonologist had less than half the rate of patient-initiated healthcare utilisation events for respiratory illness, and significantly greater one-year improvements in health-related quality of life, symptoms, and lung function, compared to those randomised to usual care [8]. The UCAP study was the first to conduct case-finding for COPD within the community and to couple early diagnosis to an intensive treatment intervention. While the UCAP study was successful, computer-generated random digit dialing of all households was expensive and relatively inefficient. Cost for the random-digit calls was > $450,000 Canadian, and more than one million random calls needed to be made to ultimately find 595 individuals with undiagnosed obstructive lung disease. The next step is to make COPD case-finding within the community more feasible, and affordable, within our healthcare systems. We are currently conducting a clinical trial of community-based, patient-initiated diagnosis of obstructive lung disease. Individuals experiencing unexplained respiratory symptoms complete a web-based case-finding questionnaire on-line [9], and if their responses yield a risk score exceeding a specified threshold, they are referred via a web-based program for diagnostic spirometry. We are advertising the web-based case-finding questionnaire locally within communities. Information is being posted in local community centers, and in community-based newsletters and local community newspapers, including those targeting ethnic groups and language and cultural minorities. Finally, we are also using local radio advertisements to reach broadly within communities. Achieving earlier diagnosis of COPD, via a patient-initiated community-based case-finding strategy, will ensure that symptomatic patients are not left undiagnosed and untreated. Ultimately this approach will help patients and may provide health economic benefits to society and to our healthcare systems. The author declares no conflicts of interest.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,087
Score d'incertitude au seuil0,890

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,016
Tête enseignante GPT0,295
Écart entre enseignants0,279 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission2
Résumé présentoui

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