Evidence map›Paper›PMID 22270480›Full record

Trial reportPrimary care respiratory journal : journal of the General Practice Airways Group2012

Improved prediction of COPD in at-risk patients using lung function pre-screening in primary care: a real-life study and cost-effectiveness analysis.

Jörgen Thorn, Björn Tilling, Karin Lisspers, Leif Jörgensen, Anna Stenling, Georgios Stratelis

Registry-linked trialOpen access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in Primary care respiratory journal : journal of the General Practice Airways Group, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03355677 (A Clinical Interventional Study Into Airways Disease Case Finding and Complex Case Management), which is not on this map. Cited by 40 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 10 pooled it
4.6field-weighted citation impact, top 5% 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.

NCT03355677 nacompletednot on this mapstarted 2017, after this paper: background citation

A Clinical Interventional Study Into Airways Disease Case Finding and Complex Case Management

TypeinterventionalSponsorUniversity of SouthamptonRan2017 to 2019Enrolled327ConditionsCOPD, AsthmaArmsCase finding Clinic, At Risk Case Clinics, Usual Care
3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 10 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
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  6. Performance of alternative COPD case-finding tools: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2021
    Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Diagnostic performance of FEVChronic respiratory disease
    Pooled it
  11. Trial
  12. Trial
  13. Trial
  14. Trial
  15. Design, rationale, and baseline demographics of SEARCH I: a prospective cluster-randomized study.International journal of chronic obstructive pulmonary disease · 2012
    Trial
  16. Observational
  17. A Two-Staged, Risk-Stratified Strategy Combining FEVRespirology (Carlton, Vic.) · 2025
    Observational
  18. Article
  19. Implementation of a screening and management pathway for chronic obstructive pulmonary disease in patients with atrial fibrillation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Article
  20. Rapid FEVJournal of Korean medical science · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Jörgen ThornSahlgrenska School of Public Health and Community Medicine, Section of Primary Health Care, University of Gothenburg, Sweden.
Björn Tilling
Karin Lisspers
Leif Jörgensen
Anna Stenling
Georgios Stratelis
AstraZeneca (Sweden) · SEPrimary Health Care · QAUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe importance of identifying chronic obstructive pulmonary disease (COPD) at an early stage is recognised. Improved and easily accessible identification of individuals at risk of COPD in primary care is needed to select patients for spirometry more accurately.

aimsTo explore whether use of a mini-spirometer can predict a diagnosis of COPD in patients at risk of COPD in primary care, and to assess its cost-effectiveness in detecting patients with COPD.

methodsPrimary care patients aged 45-85 years with a smoking history of >15 pack-years were selected. Data were collected on the Clinical COPD Questionnaire (CCQ), Medical Research Council (MRC) dyspnoea scale and smoking habits. Lung function (forced expiratory volume in 1 and 6 s; FEV1 and FEV6, respectively) was measured by mini-spirometer (copd-6), followed by diagnostic standard spirometry (COPD diagnosis post-bronchodilation ratio of FEV1 to forced vital capacity (FVC) <0.7). Time consumed was recorded. Univariate logistic regression and receiver operating characteristic (ROC) curves were used.

resultsA total of 305 patients (57% females) of mean (SD) age 61.2 (8.4) years, mean (SD) total CCQ 1.0 (0.8) and mean (SD) MRC 0.8 (0.8) were recruited from 21 centres. COPD was diagnosed in 77 patients (25.2%) by standard diagnostic spirometry. Using the copd-6 device, mean (SD) FEV1/FEV6 was 68 (8)% in patients with COPD and 78 (10)% in patients without COPD. Sensitivity and specificity at a FEV1/FEV6 cut-off of 73% were 79.2% and 80.3%, respectively. The area under the ROC curve was 0.84. Screening with the copd-6 device significantly predicted COPD. Gender, CCQ, and MRC were not found to predict COPD.

conclusionsUsing the copd-6 as a pre-screening device, the rate of COPD diagnoses by standard diagnostic spirometry increased from 25.2% to 79.2%. Although the sensitivity and specificity of the copd-6 could be improved, it might be an important device for prescreening of COPD in primary care and may reduce the number of unnecessary spirometric tests performed.

Indexed as

SpirometryAgedAged, 80 and overCost-Benefit AnalysisForced Expiratory VolumeHealth Care CostsHumansLogistic ModelsMaleMiddle AgedPulmonary Disease, Chronic ObstructiveRisk FactorsROC CurveSmokingVital Capacity

Identifiers

PMID22270480
PMCPMC6548026
OpenAlexW2054662705

What OpenQuestion holds

Textmetadata
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.