Evidence map›Paper›PMID 35733991›Full record

ArticleFrontiers in physiology2022

Development and Evaluation of a Small Airway Disease Index Derived From Modeling the Late-Expiratory Flattening of the Flow-Volume Loop.

Hengji Chen, Sangeeta Joshi, Amber J Oberle, An-Kwok Wong, David Shaz, Suman Thapamagar, Laren Tan, James D Anholm, Paresh C Giri, Craig Henriquez and 1 more

Abstract read
In one paragraph

Article in Frontiers in physiology, 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

11 authors.

Hengji ChenDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, United States.
Sangeeta JoshiDepartment of Medicine, Duke University Medical Center, Durham, NC, United States.
Amber J OberleDepartment of Medicine, Duke University Medical Center, Durham, NC, United States.
An-Kwok WongDepartment of Medicine, Duke University Medical Center, Durham, NC, United States.
David ShazDepartment of Medicine, Duke University Medical Center, Durham, NC, United States.
Suman ThapamagarDepartment of Medicine, Loma Linda University Health, Loma Linda, CA, United States.
Laren TanDepartment of Medicine, Loma Linda University Health, Loma Linda, CA, United States.
James D AnholmDepartment of Medicine, Loma Linda University Health, Loma Linda, CA, United States.
Paresh C GiriDepartment of Medicine, Loma Linda University Health, Loma Linda, CA, United States.
Craig HenriquezDepartment of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, United States.
Yuh-Chin T HuangDepartment of Medicine, Duke University Medical Center, Durham, NC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excessive decrease in the flow of the late expiratory portion of a flow volume loop (FVL) or "flattening", reflects small airway dysfunction. The assessment of the flattening is currently determined by visual inspection by the pulmonary function test (PFT) interpreters and is highly variable. In this study, we developed an objective measure to quantify the flattening. We downloaded 172 PFT reports in PDF format from the electronic medical records and digitized and extracted the expiratory portion of the FVL. We located point A (the point of the peak expiratory flow), point B (the point corresponding to 75% of the expiratory vital capacity), and point C (the end of the expiratory portion of the FVL intersecting with the

Indexed as

CT scanmachine learningpulmonary function testsmall airway diseasespirometry

Identifiers

PMID35733991
PMCPMC9207378

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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.