Evidence map›Paper›PMID 33816605›Full record

ArticleERJ open research2021

Respiratory impedance measured using impulse oscillometry in a healthy urban population.

Kenneth I Berger, Margaret Wohlleber, Roberta M Goldring, Joan Reibman, Mark R Farfel, Stephen M Friedman, Beno W Oppenheimer, Steven D Stellman, James E Cone, Yongzhao Shao

Open access · goldAbstract read
In one paragraph

Article in ERJ open research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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  6. Improving asthma outcomes: Clinicians' perspectives on peripheral airways.The journal of allergy and clinical immunology. Global · 2024
    Article
  7. Real-World Application of Oscillometry: Taking the LEAD.American journal of respiratory and critical care medicine · 2024
    Article
  8. Diagnostic Potential of Oscillometry: A Population-based Approach.American journal of respiratory and critical care medicine · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Reference equations for oscillometry and their differences among populations: a systematic scoping review.European respiratory review : an official journal of the European Respiratory Society · 2022
    Article
  14. COPD in Smoking and Non-Smoking Community Members Exposed to the World Trade Center Dust and Fumes.International journal of environmental research and public health · 2022
    Article
  15. Article
  16. 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

10 authors at 4 institutions in 1 country.

Kenneth I BergerDept of Medicine, NYU Grossman School of Medicine, New York, NY, USA.
Margaret WohlleberDept of Medicine, NYU Grossman School of Medicine, New York, NY, USA.
Roberta M GoldringDept of Medicine, NYU Grossman School of Medicine, New York, NY, USA.
Joan ReibmanDept of Medicine, NYU Grossman School of Medicine, New York, NY, USA.
Mark R FarfelWorld Trade Center Health Registry, New York City Department of Health and Mental Hygiene, New York, NY, USA.
Stephen M FriedmanWorld Trade Center Health Registry, New York City Department of Health and Mental Hygiene, New York, NY, USA.
Beno W OppenheimerDept of Medicine, NYU Grossman School of Medicine, New York, NY, USA.
Steven D StellmanWorld Trade Center Health Registry, New York City Department of Health and Mental Hygiene, New York, NY, USA.
James E ConeWorld Trade Center Health Registry, New York City Department of Health and Mental Hygiene, New York, NY, USA.
Yongzhao ShaoDept of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Bellevue Hospital Center · USNew York City Department of Health and Mental Hygiene · USNew York University · USColumbia University · US

Funding

Extension of the World Trade Center RegistryU50OH009739 · OH · NEW YORK CITY HEALTH/MENTAL HYGIENE · PI FARFEL, MARK R · 2009 to 2025
$120.0M
RESEARCH IN ENVIRONMENTAL HEALTH SCIENCES (CENTER GRANT)P30ES000260 · NIEHS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI COSTA, MAX · 1985 to 2020
$26.1M
NIEHS NIH HHS P30 ES000260NIOSH CDC HHS U50 OH009739
6 · The paper itself

Abstract

This study derives normative prediction equations for respiratory impedance in a healthy asymptomatic urban population using an impulse oscillation system (IOS). In addition, this study uses body mass index (BMI) in the equations to describe the effect of obesity on respiratory impedance. Data from an urban population comprising 472 healthy asymptomatic subjects that resided or worked in lower Manhattan, New York City were retrospectively analysed. This population was the control group from a previously completed case-control study of the health effects of exposure to World Trade Center dust. Since all subjects underwent spirometry and oscillometry, these previously collected data allowed a unique opportunity to derive normative prediction equations for oscillometry in an urban, lifetime non-smoking, asymptomatic population without underlying respiratory disease. Normative prediction equations for men and women were successfully developed for a broad range of respiratory oscillometry variables with narrow confidence bands. Models that used BMI as an independent predictor of oscillometry variables (in addition to age and height) demonstrated equivalent or better fit when compared with models that used weight. With increasing BMI, resistance and reactance increased compatible with lung and airway compression from mass loading. This study represents the largest cohort of healthy urban subjects assessed with an IOS device. Normative prediction equations were derived that should facilitate application of IOS in the clinical setting. In addition, the data suggest that modelling of lung function may be best performed using height and BMI as independent variables rather than the traditional approach of using height and weight.

Identifiers

PMID33816605
PMCPMC8005688
OpenAlexW3119878428

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.