Evidence map›Paper›PMID 33198781›Full record

Trial reportBMC pulmonary medicine2020

Chronic obstructive pulmonary disease prevalence and prediction in a high-risk lung cancer screening population.

John R Goffin, Gregory R Pond, Serge Puksa, Alain Tremblay, Michael Johnston, Glen Goss, Garth Nicholas, Simon Martel, Rick Bhatia, Geoffrey Liu and 6 more

Registry-linked trialOpen access · goldAbstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in BMC pulmonary medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00751660 (Early Detection of Lung Cancer - A Pan Canadian Study), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 13% 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.

NCT00751660 naunknown statusnot on this map

Early Detection of Lung Cancer - A Pan Canadian Study

TypeinterventionalSponsorBritish Columbia Cancer AgencyRan2008Enrolled2,504ConditionsLung Cancer, Tobacco Use DisorderArmslaboratory biomarker analysis, screening questionnaire administration, bronchoscopic and lung imaging studies, computed tomography, endoscopic biopsy
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. A CT-Based Lung Radiomics Nomogram for Classifying the Severity of Chronic Obstructive Pulmonary Disease.International journal of chronic obstructive pulmonary disease · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. 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

16 authors at 10 institutions in 2 countries.

John R GoffinDepartment of Oncology, McMaster University, Juravinski Cancer Centre, 699 Concession St., Hamilton, ON, L8V 5C2, Canada. goffin@mcmaster.ca.ORCID http://orcid.org/0000-0003-1696-8342
Gregory R PondDepartment of Oncology, McMaster University, Juravinski Cancer Centre, 699 Concession St., Hamilton, ON, L8V 5C2, Canada.
Serge PuksaDepartment of Oncology, McMaster University, Juravinski Cancer Centre, 699 Concession St., Hamilton, ON, L8V 5C2, Canada.
Alain TremblayUniversity of Calgary, 3300 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada.
Michael JohnstonDalhousie University, 5850 College St, PO Box 15000, Halifax, NS, B3J 3Z3, Canada.
Glen GossOttawa Hospital Research Institute, University of Ottawa, 501 Smyth Rd, Box 511, Ottawa, ON, K1H 8L6, Canada.
Garth NicholasOttawa Hospital Research Institute, University of Ottawa, 501 Smyth Rd, Box 511, Ottawa, ON, K1H 8L6, Canada.
Simon MartelCentre de recherche de l'Institut universitaire de cardiologie et pneumonolgie de Québec, Université Laval, QC, Québec, G1V 4G5, Canada.
Rick BhatiaHealth Sciences Centre - General Hospital, Memorial University, 300 Prince Phillip Dr, St. John's, NF, A1B 3V6, Canada.
Geoffrey LiuUniversity Health Network and Princess Margaret Cancer Centre, 610 University Ave, Toronto, ON, M5G 2M9, Canada.
Heidi SchmidtUniversity Health Network and Princess Margaret Cancer Centre, 610 University Ave, Toronto, ON, M5G 2M9, Canada.
Sukhinder Atkar-KhattraBritish Columbia Cancer Research Centre, University of British Columbia, 675 West 10th Ave, Vancouver, BC, V5Z 1L3, Canada.
Annette McWilliamsFiona Stanley Hospital, University of Western Australia, 11 Robin Warren Dr, Murdoch, W Australia, 6150, Australia.
Ming-Sound TsaoUniversity Health Network and Princess Margaret Cancer Centre, 610 University Ave, Toronto, ON, M5G 2M9, Canada.
Martin C TammemagiDepartment of Health Sciences, Brock University, Walker Complex South, Rm 306, 500 Glenridge Ave, St. Catharines, ON, L2S 3A1, Canada.
Stephen LamBritish Columbia Cancer Research Centre, University of British Columbia, 675 West 10th Ave, Vancouver, BC, V5Z 1L3, Canada.
Juravinski Cancer Centre · CAUniversity Health Network · CAUniversity of British Columbia · CAUniversity of Ottawa · CABrock University · CADalhousie University · CAInstitut universitaire de cardiologie et de pneumologie de Québec · CAMemorial University of Newfoundland · CAThe University of Western Australia · AUUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) is an underdiagnosed condition sharing risk factors with lung cancer. Lung cancer screening may provide an opportunity to improve COPD diagnosis. Using Pan-Canadian Early Detection of Lung Cancer (PanCan) study data, the present study sought to determine the following: 1) What is the prevalence of COPD in a lung cancer screening population? 2) Can a model based on clinical and screening low-dose CT scan data predict the likelihood of COPD?

methodsThe single arm PanCan study recruited current or former smokers age 50-75 who had a calculated risk of lung cancer of at least 2% over 6 years. A baseline health questionnaire, spirometry, and low-dose CT scan were performed. CT scans were assessed by a radiologist for extent and distribution of emphysema. With spirometry as the gold standard, logistic regression was used to assess factors associated with COPD.

resultsAmong 2514 recruited subjects, 1136 (45.2%) met spirometry criteria for COPD, including 833 of 1987 (41.9%) of those with no prior diagnosis, 53.8% of whom had moderate or worse disease. In a multivariate model, age, current smoking status, number of pack-years, presence of dyspnea, wheeze, participation in a high-risk occupation, and emphysema extent on LDCT were all statistically associated with COPD, while the overall model had poor discrimination (c-statistic = 0.627 (95% CI of 0.607 to 0.650). The lowest and the highest risk decile in the model predicted COPD risk of 27.4 and 65.3%.

conclusionsCOPD had a high prevalence in a lung cancer screening population. While a risk model had poor discrimination, all deciles of risk had a high prevalence of COPD, and spirometry could be considered as an additional test in lung cancer screening programs.

trial registration(Clinical Trial Registration: ClinicalTrials.gov, number NCT00751660 , registered September 12, 2008).

Indexed as

AgedCanadaEarly Detection of CancerEmphysemaFemaleHumansLogistic ModelsLung NeoplasmsMaleMass ScreeningMiddle AgedMultivariate AnalysisPulmonary Disease, Chronic ObstructivePulmonary EmphysemaRisk FactorsSmokingChronic obstructive pulmonary diseaseCT scanLung cancerScreeningSpirometry

Identifiers

PMID33198781
PMCPMC7670711
OpenAlexW3105374168

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.