Evidence map›Paper›PMID 27574413›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2016

What is the impact of different spirometric criteria on the prevalence of spirometrically defined COPD and its comorbidities? Results from the population-based KORA study.

Stefan Karrasch, Irene Brüske, Maia P Smith, Barbara Thorand, Cornelia Huth, Karl-Heinz Ladwig, Florian Kronenberg, Joachim Heinrich, Rolf Holle, Annette Peters and 1 more

Abstract readComparative Study
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the 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
–field-weighted citation impact
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

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

  1. Pooled it
  2. Article
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  4. Lung function in Lolland-Falster Health Study (LOFUS).The clinical respiratory journal · 2022
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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

11 authors.

Stefan KarraschInstitute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg; Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Ludwig-Maximilians-Universität; Institute of General Practice, University Hospital Klinikum rechts der Isar, Technische Universität München, Munich.
Irene BrüskeInstitute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg.
Maia P SmithInstitute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg.
Barbara ThorandInstitute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg.
Cornelia HuthInstitute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg; German Center for Diabetes Research (DZD), Munich/Neuherberg, Germany.
Karl-Heinz LadwigInstitute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg.
Florian KronenbergDivision of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria.
Joachim HeinrichInstitute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg; Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research.
Rolf HolleInstitute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Annette PetersInstitute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg.
Holger SchulzInstitute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg; Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is an ongoing debate about the appropriate spirometric criterion for airway obstruction to detect COPD. Furthermore, the association of different criteria with comorbidity prevalence and inflammatory biomarkers in advanced age is unclear. MATERIALS AND

methodsSpirometry was performed in a population-based study (n=2,256) covering an age range of 41-90 years. COPD was spirometrically determined either by a fixed ratio (FR) of <0.7 for forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC) or by FEV1/FVC below the lower limit of normal (LLN). Comorbidity prevalences and circulating biomarker levels (C-reactive protein [CRP], interleukin [IL]-6) were compared between subjects with or without COPD by the two criteria using logistic and multiple regression models, adjusting for sex and age.

resultsThe prevalence of spirometrically defined COPD by FR increased with age from 10% in subjects aged <65 years to 26% in subjects aged ≥75 years. For LLN-defined COPD, it remained below 10% for all age groups. Overall, COPD diagnosis was not associated with specific comorbidities, except for a lower prevalence of obesity in both FR- and LLN-defined cases. Both CRP and IL-6 tended to be higher in cases by both criteria.

conclusionIn a population-based cohort of adults up to the age of 90 years, the prevalence of spirometrically defined COPD was higher for the FR criterion than for the LLN criterion. This difference increased with age. Neither prevalences of common comorbidities nor levels of the biomarkers, CRP or IL-6, were conclusively associated with the selection of the COPD criterion. Results have to be considered in light of the predominantly mild cases of airway obstruction in the examined study population.

Indexed as

SpirometryAdultAgedAged, 80 and overAge FactorsBiomarkersComorbidityC-Reactive ProteinFemaleForced Expiratory VolumeGermanyHumansInterleukin-6Linear ModelsLogistic ModelsLungBiomarkersC-Reactive ProteinIL6 protein, humanInterleukin-6biomarkerschronic obstructive pulmonary diseasecomorbidityprevalencespirometry

Identifiers

PMID27574413
PMCPMC4993254

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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.