Evidence map›Paper›PMID 31511572›Full record

ArticleScientific reports2019

The Concavity of the Maximal Expiratory Flow-Volume Curve Reflects the Extent of Emphysema in Obstructive Lung Diseases.

Fumi Mochizuki, Hiroaki Iijima, Azusa Watanabe, Naoya Tanabe, Susumu Sato, Masanari Shiigai, Keiji Fujiwara, Takafumi Shimada, Hiroichi Ishikawa, Jun Kanazawa and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

10 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Curve-Modelling and Machine Learning for a Better COPD Diagnosis.International journal of chronic obstructive pulmonary disease · 2024
    Observational
  7. Article
  8. Article
  9. The Challenges of Spirometric Diagnosis of COPD.Canadian respiratory journal · 2023
    Review
  10. Review
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

15 authors at 4 institutions in 1 country.

Fumi MochizukiDepartment of Respiratory Medicine, Tsukuba Medical Centre Hospital, Tsukuba, Japan. fmczk735@gmail.com.ORCID http://orcid.org/0000-0003-0830-5063
Hiroaki IijimaDepartment of Respiratory Medicine, Tsukuba Medical Centre Hospital, Tsukuba, Japan.
Azusa WatanabeDepartment of Radiology, Tsukuba Medical Centre Hospital, Tsukuba, Japan.
Naoya TanabeDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0002-7481-0212
Susumu SatoDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0002-9626-1090
Masanari ShiigaiDepartment of Radiology, Tsukuba Medical Centre Hospital, Tsukuba, Japan.
Keiji FujiwaraDepartment of Respiratory Medicine, Tsukuba Medical Centre Hospital, Tsukuba, Japan.
Takafumi ShimadaDepartment of Respiratory Medicine, Tsukuba Medical Centre Hospital, Tsukuba, Japan.
Hiroichi IshikawaDepartment of Respiratory Medicine, Tsukuba Medical Centre Hospital, Tsukuba, Japan.
Jun KanazawaDepartment of Pulmonary Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Yohei YatagaiDepartment of Pulmonary Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Hironori MasukoDepartment of Pulmonary Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Tohru SakamotoDepartment of Pulmonary Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Shigeo MuroDepartment of Respiratory Medicine, Nara Medical University, Kashihara, Japan.ORCID http://orcid.org/0000-0001-7452-9191
Nobuyuki HizawaDepartment of Pulmonary Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Tsukuba Medical Center Hospital · JPUniversity of Tsukuba · JPKyoto University · JPNara Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A concave-shaped maximal expiratory flow-volume (MEFV) curve is a spirometric feature in chronic obstructive pulmonary disease (COPD). The MEFV curve is characterized by an increase in the Obstructive Index, which is defined as a ratio of forced vital capacity to the volume-difference between two points of half of the peak expiratory flow on the MEFV curve. We hypothesized that the Obstructive Index would reflect the severity of emphysema in patients with COPD and asthma-COPD overlap (ACO). Thus, the aim of this retrospective study was to evaluate whether the Obstructive Index on spirometry is associated with the extent of emphysema on computed tomography (CT) in patients with COPD, ACO, and asthma (N = 65, 15, and 53, respectively). The percentage of low-attenuation volume (LAV%) and wall area (WA%) were measured on CT. The Obstructive Index was higher in patients with COPD and ACO than in those with asthma. Spearman correlation showed that a greater Obstructive Index was associated with a higher LAV%, but not WA%. Multivariate analysis showed that Obstructive Index was associated with LAV% (standardized β = 0.43, P < 0.0001) independent of other spirometric indices. The Obstructive Index is a useful spirometric index that reflects the extent of emphysema.

Indexed as

Maximal Expiratory Flow-Volume CurvesAgedAsthmaFemaleHumansLungMaleMiddle AgedPulmonary Disease, Chronic ObstructivePulmonary EmphysemaRespiratory Function TestsSensitivity and SpecificitySeverity of Illness IndexSpirometryTomography, X-Ray Computed

Identifiers

PMID31511572
PMCPMC6739348
OpenAlexW2973230084

What OpenQuestion holds

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LicenceCC BY
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.