Evidence map›Paper›PMID 36962310›Full record

ArticlePLOS global public health2022

Differences and agreement between two portable hand-held spirometers across diverse community-based populations in the Prospective Urban Rural Epidemiology (PURE) study.

MyLinh Duong, Sumathy Rangarajan, Michele Zaman, Nafiza Mat Nasir, Pamela Seron, Karen Yeates, Afzalhussein M Yusufali, Rasha Khatib, Lap Ah Tse, Chuangshi Wang and 15 more

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Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

25 authors.

MyLinh DuongDepartment of Medicine, Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada.ORCID https://orcid.org/0000-0002-9197-2547
Sumathy RangarajanDepartment of Medicine, Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada.
Michele ZamanDepartment of Medicine, Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada.ORCID https://orcid.org/0000-0003-1944-1351
Nafiza Mat NasirFaculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus, Selangor, Malaysia.
Pamela SeronFacultad de Medicina, Universidad de La Frontera, Temuco, Chile.ORCID https://orcid.org/0000-0003-0190-8988
Karen YeatesPamoja Tunaweza Research Centre, Moshi, Tanzania.ORCID https://orcid.org/0000-0003-3628-0879
Afzalhussein M YusufaliDubai Medical University, Hatta Hospital, Dubai Health Authority, Dubai, United Arab Emirates.ORCID https://orcid.org/0000-0003-3378-2646
Rasha KhatibAdvocate Aurora Research Institute, Milwaukee, IL, United States of America.
Lap Ah TseJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong.ORCID https://orcid.org/0000-0003-0355-6218
Chuangshi WangMedical Research & Biometrics Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical, Beijing, China.
Andreas WielgoszUniversity of Ottawa Department of Medicine, Ottawa, Ontario, Canada.ORCID https://orcid.org/0000-0002-9533-7022
Koon TeoDepartment of Medicine, Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada.
Rajesh KumarState Health System Resource Center, Punjab, India.ORCID https://orcid.org/0000-0001-9750-3437
Alvaro AvezumInternational Research Center, Hospital Alemão Oswaldo Cruz, São Paulo, SP, Brazil.
Rosnah IsmailCommunity Health Department, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.ORCID https://orcid.org/0000-0002-8178-3822
Burcu Tumerdem ÇalıkFaculty of Health Sciences, Department of Health Management, Marmara University, Istanbul, Turkey.
Soumya GopakumarHealth Action by People and Government Medical College, Thiruvananthapuram, Kerala, India.ORCID https://orcid.org/0000-0002-1855-6440
Omar RahmanUniversity of Liberal Arts Bangladesh, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-0606-2507
Katarzyna ZatońskaWroclaw Medical University Bujwida Wroclaw, Poland, EU.ORCID https://orcid.org/0000-0002-3772-5588
Annika RosengrenUniversity of Gothenburg, Gothenburg, Sweden.
Johanna OteroInstituto Masira, Universidad de Santander (UDES), Bucaramanga, Colombia.ORCID https://orcid.org/0000-0002-2044-2071
Roya KelishadiCardiovascular Research Institute, Chamran Hospital, Isfahan, Iran.
Rafael DiazEstudios Clinicos Latinoamerica ECLA Rosario, Santa Fe, Argentina.
Thandi PuoaneUniversity of the Western Cape, School of Public Health, Cape Town, South Africa.ORCID https://orcid.org/0000-0001-8871-9260
Salim YusufDepartment of Medicine, Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPortable spirometers are commonly used in longitudinal epidemiological studies to measure and track the forced expiratory volume in first second (FEV1) and forced vital capacity (FVC). During the course of the study, it may be necessary to replace spirometers with a different model. This raise questions regarding the comparability of measurements from different devices. We examined the correlation, mean differences and agreement between two different spirometers, across diverse populations and different participant characteristics.

methodsFrom June 2015 to Jan 2018, a total of 4,603 adults were enrolled from 628 communities in 18 countries and 7 regions of the world. Each participant performed concurrent measurements from the MicroGP and EasyOne spirometer. Measurements were compared by the intra-class correlation coefficient (ICC) and Bland-Altman method.

resultsApproximately 65% of the participants achieved clinically acceptable quality measurements. Overall correlations between paired FEV1 (ICC 0.88 [95% CI 0.87, 0.88]) and FVC (ICC 0.84 [0.83, 0.85]) were high. Mean differences between paired FEV1 (-0.038 L [-0.053, -0.023]) and FVC (0.033 L [0.012, 0.054]) were small. The 95% limits of agreement were wide but unbiased (FEV1 984, -1060; FVC 1460, -1394). Similar findings were observed across regions. The source of variation between spirometers was mainly at the participant level. Older age, higher body mass index, tobacco smoking and known COPD/asthma did not adversely impact on the inter-device variability. Furthermore, there were small and acceptable mean differences between paired FEV1 and FVC z-scores using the Global Lung Initiative normative values, suggesting minimal impact on lung function interpretation.

conclusionsIn this multicenter, diverse community-based cohort study, measurements from two portable spirometers provided good correlation, small and unbiased differences between measurements. These data support their interchangeable use across diverse populations to provide accurate trends in serial lung function measurements in epidemiological studies.

Identifiers

PMID36962310
PMCPMC10021326

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