Evidence map›Paper›PMID 39868664›Full record

ArticleJournal of cachexia, sarcopenia and muscle2025

Erector Spinae Muscle to Epicardial Visceral Fat Ratio on Chest CT Predicts the Severity of Coronavirus Disease 2019.

Takashi Shimada, Tomoki Maetani, Shotaro Chubachi, Naoya Tanabe, Takanori Asakura, Ho Namkoong, Hiromu Tanaka, Shuhei Azekawa, Shiro Otake, Kensuke Nakagawara and 25 more

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

35 authors.

Takashi ShimadaDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Tomoki MaetaniDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Shotaro ChubachiDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5046-3762
Naoya TanabeDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 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.
Hiromu TanakaDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Shuhei AzekawaDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Shiro OtakeDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Kensuke NakagawaraDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Takahiro FukushimaDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Mayuko WataseDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Yusuke ShiraishiDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hideki TeraiDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Mamoru SasakiInternal Medicine, JCHO (Japan Community Health Care Organization) Saitama Medical Center, Saitama, Japan.
Soichiro UedaInternal Medicine, JCHO (Japan Community Health Care Organization) Saitama Medical Center, Saitama, Japan.
Yukari KatoDepartment of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan.
Norihiro HaradaDepartment of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan.
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.
Kaoruko ShimizuDepartment of Respiratory Medicine, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Susumu SatoDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yoshitake YamadaDepartment of Radiology, Keio University School of Medicine, Tokyo, Japan.
Masahiro JinzakiDepartment of Radiology, Keio University School of Medicine, Tokyo, Japan.
Toyohiro HiraiDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yukinori OkadaDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.
Ryuji KoikeHealth Science Research and Development Center, Tokyo Medical and Dental University, Tokyo, Japan.
Makoto IshiiDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Akinori KimuraInstitute of Research, Tokyo Medical and Dental University, Tokyo, Japan.
Seiya ImotoDivision of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Satoru MiyanoM&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan.
Seishi OgawaDepartment of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan.
Takanori KanaiDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
Koichi FukunagaDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.

Funding

Japan Agency for Medical Research and Development (AMED) JP20fk0108415Japan Agency for Medical Research and Development (AMED) JP20fk0108452Japan Agency for Medical Research and Development (AMED) JP20nk0101612Japan Agency for Medical Research and Development (AMED) JP21fk0108431Japan Agency for Medical Research and Development (AMED) JP21fk0108553Japan Agency for Medical Research and Development (AMED) JP21fk0108563Japan Agency for Medical Research and Development (AMED) JP21fk0108573Japan Agency for Medical Research and Development (AMED) JP21jk0210034Japan Agency for Medical Research and Development (AMED) JP21km0405211Japan Agency for Medical Research and Development (AMED) JP21km0405217Japan Agency for Medical Research and Development (AMED) JP21wm0325031Japan Agency for Medical Research and Development (AMED) JP22fk0108510Japan Agency for Medical Research and Development (AMED) JP22fk0108513Japan Agency for Medical Research and Development (AMED) JP22fk0108573Japan Agency for Medical Research and Development (AMED) JP22wm0325031Japan Science and Technology Agency (JST) CREST JPMJCR20H2Japan Science and Technology Agency (JST) PRESTO JPMJPR21R7Ministry of Health, Labour and Welfare 20CA2054
6 · The paper itself

Abstract

backgroundChest computed tomography (CT) is a valuable tool for diagnosing and predicting the severity of coronavirus disease 2019 (COVID-19) and assessing extrapulmonary organs. Reduced muscle mass and visceral fat accumulation are important features of a body composition phenotype in which obesity and muscle loss coexist, but their relationship with COVID-19 outcomes remains unclear. In this study, we aimed to investigate the association between the erector spinae muscle (ESM) to epicardial adipose tissue (EAT) ratio (ESM/EAT) on chest CT and disease severity in patients with COVID-19.

methodsWe analysed data from 1074 COVID-19 patients enrolled in the Japan COVID-19 Task Force database. The primary outcome was the rate of critical outcomes (requiring high-flow oxygen therapy, invasive ventilator support or death). The incidence of critical outcomes was compared between patients with high and low ESM/EAT ratios.

resultsThe low ESM/EAT group (n = 353) had a higher incidence of critical outcomes (13.3% vs. 5.13%, p < 0.001) and mortality (2.55% vs. 0.69%, p = 0.019) than the high ESM/EAT group (n = 721). In multivariable analysis, the low ESM/EAT ratio was associated with critical outcomes (adjusted odds ratio [aOR] 2.11, 95% confidence interval [CI] 1.22-3.66) independently of the known COVID-19 severity factors including age, sex, body mass index (BMI), smoking history, lifestyle-related comorbidities and pneumonia volume.

conclusionThe low ESM/EAT ratio in COVID-19 patients can be obtained on chest CT and used to predict critical outcomes after disease onset, demonstrating the importance of detailed body composition assessments in COVID-19 practice.

Indexed as

COVID-19Intra-Abdominal FatParaspinal MusclesPericardiumAgedFemaleHumansJapanMaleMiddle AgedPrognosisRetrospective StudiesSARS-CoV-2Severity of Illness IndexTomography, X-Ray Computedcomputed tomographyCOVID‐19epicardial adipose tissueerector spinae musclesobesitysarcopenia

Identifiers

PMID39868664
PMCPMC11770476

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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.