Evidence map›Paper›PMID 31023382›Full record

ArticleEnvironmental health : a global access science source2019

Considerations in the use of different spirometers in epidemiological studies.

Edith B Milanzi, Gerard H Koppelman, Marieke Oldenwening, Sonja Augustijn, Bernadette Aalders-de Ruijter, Martijn Farenhorst, Judith M Vonk, Marjan Tewis, Bert Brunekreef, Ulrike Gehring

Abstract readComparative Study
In one paragraph

Article in Environmental health : a global access science source, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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. Trial
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  8. Observational
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  10. FEFInternational journal of chronic obstructive pulmonary disease · 2020
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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

10 authors.

Edith B MilanziInstitute for Risk Assessment Sciences (IRAS), Utrecht University, P.O. Box 80178, 3508, TD, Utrecht, The Netherlands.
Gerard H KoppelmanUniversity Medical Center Groningen, Department of Pediatric Pulmonology and Pediatric Allergology, Beatrix Children's Hospital, University of Groningen, Groningen, The Netherlands.
Marieke OldenweningInstitute for Risk Assessment Sciences (IRAS), Utrecht University, P.O. Box 80178, 3508, TD, Utrecht, The Netherlands.
Sonja AugustijnUniversity of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases, Groningen, The Netherlands.
Bernadette Aalders-de RuijterNetherlands Expertise Centre for Occupational Respiratory Disorders, Utrecht, The Netherlands.
Martijn FarenhorstUniversity of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases, Groningen, The Netherlands.
Judith M VonkUniversity of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, The Netherlands.
Marjan TewisInstitute for Risk Assessment Sciences (IRAS), Utrecht University, P.O. Box 80178, 3508, TD, Utrecht, The Netherlands.
Bert BrunekreefInstitute for Risk Assessment Sciences (IRAS), Utrecht University, P.O. Box 80178, 3508, TD, Utrecht, The Netherlands.
Ulrike GehringInstitute for Risk Assessment Sciences (IRAS), Utrecht University, P.O. Box 80178, 3508, TD, Utrecht, The Netherlands. U.Gehring@uu.nl.ORCID 0000-0003-3612-5780

Funding

Dutch Lung foundation 4.1.14.001
6 · The paper itself

Abstract

backgroundSpirometric lung function measurements have been proven to be excellent objective markers of respiratory morbidity. The use of different types of spirometers in epidemiological and clinical studies may present systematically different results affecting interpretation and implication of results. We aimed to explore considerations in the use of different spirometers in epidemiological studies by comparing forced expiratory volume in 1 s (FEV

methodsForty-nine volunteers had lung function measured on two different spirometers in random order with at least three attempts on each spirometer. Data were analysed using correlation plots, Bland and Altman plots and formal paired t-tests. We used regression calibration to provide a correction equation.

resultsThe mean (SD) FEV

conclusionUse of different types of spirometers may result in significant systematic differences in lung function values. Epidemiological researchers need to be aware of these potential systematic differences and correct for them in analyses using methods such as regression calibration.

Indexed as

Forced Expiratory VolumeVital CapacityAdolescentCohort StudiesFemaleHumansMaleNetherlandsSpirometryCalibrationEpidemiological studiesLung functionSpirometrySystematic difference

Identifiers

PMID31023382
PMCPMC6485068

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Registered trials

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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.