Evidence map›Paper›PMID 28414029›Full record

Trial reportChest2017

How Well Does CAPTURE Translate?: An Exploratory Analysis of a COPD Case-Finding Method for Spanish-Speaking Patients.

Wilson A Quezada, Beth A Whippo, Patricia A Jellen, Nancy K Leidy, David M Mannino, Katherine J Kim, MeiLan K Han, Julia F Houfek, Barry Make, Karen G Malley and 6 more

Registry-linked trialOpen access · greenAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Chest, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01880177 (A Study Designed to Develop and Validate a New Screening Measure for Identifying Undiagnosed At-Risk COPD Cases), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 43% 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.

NCT01880177 completednot on this map

A Study Designed to Develop and Validate a New Screening Measure for Identifying Undiagnosed At-Risk COPD Cases

TypeobservationalSponsorUniversity of MichiganRan2013 to 2015Enrolled346ConditionsChronic Obstructive Pulmonary Disease (COPD)
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Current Progress of COPD Early Detection: Key Points and Novel Strategies.International journal of chronic obstructive pulmonary disease · 2023
    Review
  4. 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.

Wilson A QuezadaColumbia University, New York, NY.
Beth A WhippoNewYork-Presbyterian Hospital/Columbia University Medical Center, New York, NY.
Patricia A JellenNewYork-Presbyterian Hospital/Columbia University Medical Center, New York, NY.
Nancy K LeidyEvidera, Bethesda, MD.
David M ManninoUniversity of Kentucky, Lexington, KY.
Katherine J KimEvidera, Bethesda, MD.
MeiLan K HanUniversity of Michigan, Ann Arbor, MI.
Julia F HoufekUniversity of Nebraska, Omaha, NE.
Barry MakeNational Jewish Health, Denver, CO.
Karen G MalleyEvidera, Bethesda, MD.
Catherine A MeldrumUniversity of Michigan, Ann Arbor, MI.
Stephen I RennardUniversity of Nebraska, Omaha, NE; AstraZeneca, Cambridge, UK.
Barbara P YawnUniversity of Minnesota, Minneapolis, MN.
Fernando J MartinezCornell University, New York, NY. Electronic address: fjm2003@med.cornell.edu.
Byron M ThomashowColumbia University, New York, NY.
High-Risk-COPD Screening Study Group(∗)
Ithaka Harbors · USColumbia University · USUniversity of Colorado Denver · USUniversity of Michigan–Ann Arbor · USUniversity of Nebraska at Omaha · USColumbia University Irving Medical Center · USCornell University · USNewYork–Presbyterian Hospital · USUniversity of Kentucky · USUniversity of Minnesota · US

Funding

Design and Testing of tools to Identify individuals at high risk for COPD^ 73R01HL114055 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LEIDY, NANCY KLINE, MANNINO, DAVID · 2012 to 2014
$2.4M
Role of 12-lipoxygenase in platelet reactivity and type 2 diabetes mellitusR01HL114405 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HOLINSTAT, MICHAEL ALLAN · 2013 to 2017
$1.9M
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 HL114055NHLBI NIH HHS R01 HL114405
6 · The paper itself

Abstract

backgroundThis study tested the properties of a Spanish translation of CAPTURE (COPD Assessment in Primary Care To Identify Undiagnosed Respiratory Disease and Exacerbation Risk) with selective use of peak expiratory flow (PEF).

methodsThis study comprised analyses of data from the Spanish-speaking cohort of the cross-sectional, case-control study used to develop CAPTURE. Translation procedures included forward and backward translation, reconciliation, and cognitive interviewing to assure linguistic and cultural equivalence, yielding CAPTURE-S. Spanish-speaking participants were recruited through one center and designated as case subjects (clinically significant COPD: FEV

resultsThe study included 30 participants (17 case subjects and 13 control subjects). Their mean (± SD) age was 62.6 (11.49) years, and 33% were male. CAPTURE-S scores were significantly correlated with PEF (r = -0.78), the FEV

conclusionsCAPTURE-S with selective use of PEF seems to be useful for identifying Spanish-speaking patients in need of diagnostic evaluation for clinically significant COPD who may benefit from initiation of COPD treatment. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT01880177; URL: www.clinicaltrials.gov.

Indexed as

Hispanic or LatinoTranslationsAgedCase-Control StudiesCross-Sectional StudiesFemaleFollow-Up StudiesForced Expiratory VolumeHumansMaleMiddle AgedOutcome Assessment, Health CarePrevalenceProspective StudiesPulmonary Disease, Chronic ObstructiveSpirometrycase-findingCOPDdiagnosislung function

Identifiers

PMID28414029
PMCPMC5812773
OpenAlexW2605517030

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.