Evidence map›Paper›PMID 38663888›Full record

ArticleBMJ open respiratory research2024

Lung volume measurement using chest CT in COVID-19 patients: a cohort study in Japan.

Shiro Otake, Yusuke Shiraishi, Shotaro Chubachi, Naoya Tanabe, Tomoki Maetani, Takanori Asakura, Ho Namkoong, Takashi Shimada, Shuhei Azekawa, Kensuke Nakagawara and 24 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open respiratory research, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

34 authors.

Shiro Otakeivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Yusuke ShiraishiDepartment of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Shotaro Chubachiivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan bachibachi472000@z6.keio.jp.ORCID http://orcid.org/0000-0002-5046-3762
Naoya TanabeDepartment of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.ORCID http://orcid.org/0000-0002-7481-0212
Tomoki MaetaniDepartment of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Takanori AsakuraDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Ho NamkoongDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Takashi Shimadaivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Shuhei Azekawaivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Kensuke Nakagawaraivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Hiromu Tanakaivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Takahiro Fukushimaivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Mayuko WataseDepartment of Respiratory Medicine, National Hospital Organization Tokyo Medical Centre, Tokyo, Japan.
Hideki Teraiivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Mamoru SasakiDepartment of Internal Medicine, Saitama Medical Center, Tokyo, Japan.
Soichiro UedaDepartment of Internal Medicine, Saitama Medical Center, Tokyo, Japan.
Yukari KatoDivision of Respiratory Medicine, Juntendo University School of Medicine Graduate School of Medicine, Bunkyo-ku, Japan.
Norihiro HaradaDivision of Respiratory Medicine, Juntendo University School of Medicine Graduate School of Medicine, Bunkyo-ku, Japan.ORCID http://orcid.org/0000-0002-0962-5731
Shoji SuzukiDepartment of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan.
Shuichi YoshidaDepartment of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan.
Hiroki TatenoDepartment of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan.
Yoshitake YamadaKeio University Department of Radiology, Shinjuku-ku, Tokyo, Japan.
Masahiro JinzakiKeio University Department of Radiology, Shinjuku-ku, Tokyo, Japan.
Toyohiro HiraiRespiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yukinori OkadaDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.
Ryuji KoikeDepartment of Pharmacovigilance, Tokyo Medical and Dental University, Tokyo, Japan.
Makoto IshiiFaculty of Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Naoki HasegawaCenter for Infectious Diseases and Infection Control, Keio University, School of Medicine, Tokyo, Japan.
Akinori KimuraMedical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan.
Seiya ImotoThe University of Tokyo, Bunkyo-ku, Japan.
Satoru MiyanoTokyo Medical and Dental University, Bunkyo-ku, Japan.
Seishi OgawaDepartment of Pathology and Tumor Biology, Kyoto University Graduate School of Medicine Faculty of Medicine, Kyoto, Japan.
Takanori KanaiDivision of Gastroenterology and Hepatology Department of Internal Medicine, Keio University School of Medicine, Shinjuku-ku, Japan.
Koichi Fukunagaivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to investigate the utility of CT quantification of lung volume for predicting critical outcomes in COVID-19 patients.

methodsThis retrospective cohort study included 1200 hospitalised patients with COVID-19 from 4 hospitals. Lung fields were extracted using artificial intelligence-based segmentation, and the percentage of the predicted (%pred) total lung volume (TLC (%pred)) was calculated. The incidence of critical outcomes and posthospitalisation complications was compared between patients with low and high CT lung volumes classified based on the median percentage of predicted TLC

resultsThe incidence of critical outcomes was higher in the low TLC

conclusionLower CT lung volume was associated with critical outcomes, posthospitalisation complications and slower improvement of clinical conditions in COVID-19 patients.

Indexed as

COVID-19LungLung Volume MeasurementsSARS-CoV-2Tomography, X-Ray ComputedAgedAged, 80 and overCohort StudiesFemaleHumansJapanMaleMiddle AgedPrognosisRetrospective StudiesCOVID-19imaging/CT MRI etc

Identifiers

PMID38663888
PMCPMC11043761

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Registered trials

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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.