Evidence map›Paper›PMID 36786790›Full record

ArticleJAMA2023

Discriminative Accuracy of the CAPTURE Tool for Identifying Chronic Obstructive Pulmonary Disease in US Primary Care Settings.

Fernando J Martinez, MeiLan K Han, Camden Lopez, Susan Murray, David Mannino, Stacey Anderson, Randall Brown, Rowena Dolor, Nancy Elder, Min Joo and 11 more

Open access · greenAbstract read
In one paragraph

Article in JAMA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
12.7field-weighted citation impact, top 1% 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.

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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
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  16. Prospective COPD Case Finding in a Lung Cancer Screening Program: A Pilot Study.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2025
    Article
  17. Article
  18. Article
  19. Chronic Obstructive Pulmonary Disease Detection: Hurdles and Struggles.American journal of respiratory and critical care medicine · 2025
    Article
  20. Impulse oscillometry-derived equation for prediction of abnormal FEVThe Lancet regional health. Western Pacific · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 13 institutions in 2 countries.

Fernando J MartinezWeill Cornell Medicine/NY Presbyterian Hospital, New York, New York.
MeiLan K HanDivision of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor.
Camden LopezSchool of Public Health, University of Michigan, Ann Arbor.
Susan MurraySchool of Public Health, University of Michigan, Ann Arbor.
David ManninoDivision of Pulmonary and Critical Care Medicine, University of Kentucky, Lexington.
Stacey AndersonSchool of Public Health, University of Michigan, Ann Arbor.
Randall BrownSchool of Public Health, University of Michigan, Ann Arbor.
Rowena DolorDivision of General Internal Medicine, Duke University, Durham, North Carolina.
Nancy ElderOregon Health & Science University, Portland.
Min JooDivision of Pulmonary and Critical Care Medicine, University of Illinois, Chicago.
Irfan KhanCircuit Clinical, Clarence Center, New York.
Lyndee M KnoxLA Net Community Health Resource Network Collaboratory, Long Beach, California.
Catherine MeldrumDivision of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor.
Elizabeth PetersWeill Cornell Medicine/NY Presbyterian Hospital, New York, New York.
Cathie SpinoSchool of Public Health, University of Michigan, Ann Arbor.
Hazel TappDepartment of Family Medicine, Atrium Health, Charlotte, North Carolina.
Byron ThomashowDivision of Pulmonary and Critical Care Medicine, Columbia University, New York, New York.
Linda ZittlemanDepartment of Family Medicine, High Plains Research Network, University of Colorado, Aurora.
Barry MakeDivision of Pulmonary, Critical Care, and Sleep Medicine, National Jewish Health, Denver, Colorado.
Barbara P YawnDepartment of Family and Community Health, University of Minnesota, Minneapolis.
CAPTURE Study Group
Centre for Advanced Process Technology for Urban Resource Recovery · BEUniversity of Michigan · USCornell University · USAtrium Medical Cente · USCircuit Therapeutics (United States) · USColumbia University · USDuke University · USNational Jewish Health · USOregon Health & Science University · USResearch Network (United States) · USUniversity of Illinois Chicago · USUniversity of Kentucky · USUniversity of Minnesota · US

Funding

The CAPTURE Study: Validating a unique COPD screening tool in primary careR01HL136682 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI HAN, MEILAN K, MARTINEZ, FERNANDO J · 2017 to 2021
$10.7M
Defining Pathways in COPD Patient Oriented ResearchK24HL138188 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MeiLan K Han · 2017 to 2026
$1.2M
NHLBI NIH HHS K24 HL138188NHLBI NIH HHS R01 HL136682
6 · The paper itself

Abstract

Importance: Chronic obstructive pulmonary disease (COPD) is underdiagnosed in primary care. Objective: To evaluate the operating characteristics of the CAPTURE (COPD Assessment in Primary Care To Identify Undiagnosed Respiratory Disease and Exacerbation Risk) screening tool for identifying US primary care patients with undiagnosed, clinically significant COPD. Design, Setting, and Participants: In this cross-sectional study, 4679 primary care patients aged 45 years to 80 years without a prior COPD diagnosis were enrolled by 7 primary care practice-based research networks across the US between October 12, 2018, and April 1, 2022. The CAPTURE questionnaire responses, peak expiratory flow rate, COPD Assessment Test scores, history of acute respiratory illnesses, demographics, and spirometry results were collected. Exposure: Undiagnosed COPD. Main Outcomes and Measures: The primary outcome was the CAPTURE tool's sensitivity and specificity for identifying patients with undiagnosed, clinically significant COPD. The secondary outcomes included the analyses of varying thresholds for defining a positive screening result for clinically significant COPD. A positive screening result was defined as (1) a CAPTURE questionnaire score of 5 or 6 or (2) a questionnaire score of 2, 3, or 4 together with a peak expiratory flow rate of less than 250 L/min for females or less than 350 L/min for males. Clinically significant COPD was defined as spirometry-defined COPD (postbronchodilator ratio of forced expiratory volume in the first second of expiration [FEV1] to forced vital capacity [FEV1:FVC] <0.70 or prebronchodilator FEV1:FVC <0.65 if postbronchodilator spirometry was not completed) combined with either an FEV1 less than 60% of the predicted value or a self-reported history of an acute respiratory illness within the past 12 months. Results: Of the 4325 patients who had adequate data for analysis (63.0% were women; the mean age was 61.6 years [SD, 9.1 years]), 44.6% had ever smoked cigarettes, 18.3% reported a prior asthma diagnosis or use of inhaled respiratory medications, 13.2% currently smoked cigarettes, and 10.0% reported at least 1 cardiovascular comorbidity. Among the 110 patients (2.5% of 4325) with undiagnosed, clinically significant COPD, 53 had a positive screening result with a sensitivity of 48.2% (95% CI, 38.6%-57.9%) and a specificity of 88.6% (95% CI, 87.6%-89.6%). The area under the receiver operating curve for varying positive screening thresholds was 0.81 (95% CI, 0.77-0.85). Conclusions and Relevance: Within this US primary care population, the CAPTURE screening tool had a low sensitivity but a high specificity for identifying clinically significant COPD defined by presence of airflow obstruction that is of moderate severity or accompanied by a history of acute respiratory illness. Further research is needed to optimize performance of the screening tool and to understand whether its use affects clinical outcomes.

Indexed as

Mass ScreeningMissed DiagnosisPrimary Health CarePulmonary Disease, Chronic ObstructiveAgedAged, 80 and overAsthmaCross-Sectional StudiesDiagnostic ErrorsFemaleForced Expiratory VolumeHealth SurveysHumansLungMaleMiddle Aged

Identifiers

PMID36786790
PMCPMC9929696
OpenAlexW4320709986

What OpenQuestion holds

Textmetadata
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.