Evidence map›Paper›PMID 35821376›Full record

ArticleJapanese journal of radiology2022

Inspiratory and expiratory CT analyses of the diaphragmatic crus in chronic obstructive pulmonary disease.

Shinji Wada, Shin Matsuoka, Hidefumi Mimura

Open access · hybridAbstract read
In one paragraph

Article in Japanese journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Shinji WadaDepartment of Radiology, St. Marianna University School of Medicine, 2-16-1, Sugao, Miyamae-ku, Kawasaki City, Kanagawa, Japan. shinjiwada@marianna-u.ac.jp.ORCID http://orcid.org/0000-0001-7172-1508
Shin MatsuokaDepartment of Radiology, St. Marianna University School of Medicine, 2-16-1, Sugao, Miyamae-ku, Kawasaki City, Kanagawa, Japan.
Hidefumi MimuraDepartment of Radiology, St. Marianna University School of Medicine, 2-16-1, Sugao, Miyamae-ku, Kawasaki City, Kanagawa, Japan.
St. Marianna University School of Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to investigate the association between the results of pulmonary function tests (PFTs) in patients with chronic obstructive pulmonary disease (COPD) and the size of their diaphragmatic crus (DC) using inspiratory and expiratory CT. MATERIALS AND

methodsThirty-three patients who underwent inspiratory and expiratory CT and PFTs between July and December 2019 were studied retrospectively. The short axis, long axis, and cross-sectional area (CSA) of the bilateral DC were measured, and the percentage change of the DC after expiration (% change of DC) in the size was calculated. The correlation between the results of the PFTs (forced expiratory volume in 1 s [FEV

resultsSignificant correlations were observed between the short axis of the right and left DC at expiration and PFTs (FEV

conclusionThere were significant correlations between airflow limitation and the short axis of the bilateral DC at expiration, and the % change in the DC of the CSA. Certain CT measurements of the DC may reflect airflow limitation in patients with COPD.

Indexed as

Pulmonary Disease, Chronic ObstructiveForced Expiratory VolumeHumansLungRespiratory Function TestsRetrospective StudiesTomography, X-Ray ComputedVital CapacityChronic obstructive pulmonary diseaseDiaphragmatic crusInspiratory and expiratory CT

Identifiers

PMID35821376
PMCPMC9719885
OpenAlexW4285092002

What OpenQuestion holds

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LicenceCC BY
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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.